advisor - ai application development engineer – full-stack ai applications

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advisor - ai application development engineer – full-stack ai applications Jobs in Indianapolis

head of production, applied ai Jobs in Indianapolis

head of production, applied ai

head of production applied ai

Lilt- Lega Italiana per la Lotta contro i Tumori

<div><h1 class="jobSectionHeader">About LILT</h1>
AI is changing how the world communicates &mdash; and LILT is leading that transformation.
We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality.
At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues&mdash;Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1&mdash;guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we&rsquo;re building a category-defining company in a $50B+ global translation market being redefined by AI.<h1 class="jobSectionHeader">
Position Overview</h1>
We are seeking an experienced Head of Applied AI Production to lead and scale our multilingual Applied AI production operations. This strategic leadership role will be responsible for executing complex programs, building robust data operations, and scaling production operations. The ideal candidate will bridge the gap between technical requirements and operational excellence, ensuring high-quality multilingual data production at scale.<h1 class="jobSectionHeader">
Key Responsibilities:</h1><h2 class="jobSectionHeader">
Strategic Leadership</h2><ul><li>
Define and execute the vision and strategy for Applied AI production operations</li><li>
Translate business objectives into actionable data production strategies and roadmaps</li><li>
Build scalable frameworks that balance speed-to-market with rigorous quality standards</li><li>
Communicate value, progress, and strategic initiatives effectively to executive stakeholders</li></ul><h2 class="jobSectionHeader">
Operational Excellence</h2><ul><li>
Lead end-to-end production operations for Applied AI, ensuring on-time, high-quality delivery</li><li>
Design and implement standardized processes, workflows, and quality frameworks across production teams</li><li>
Optimize resource allocation, prioritization, and capacity planning to maximize team productivity</li><li>
Establish metrics and KPIs to measure operational efficiency, quality, and business impact</li><li>
Drive continuous improvement initiatives and identify opportunities for innovation</li></ul><h2 class="jobSectionHeader">
Team Leadership &amp; Development</h2><ul><li>
Build, mentor, and scale a high-performing production team, including project managers, data specialists, and quality assurance professionals</li><li>
Foster a culture of excellence, accountability, and collaboration</li><li>
Partner with cross-functional leaders in Research, Engineering, and GTM to ensure alignment and effective collaboration</li></ul><h2 class="jobSectionHeader">
Technical &amp; Quality Oversight</h2><ul><li>
Ensure rigorous quality assurance processes are in place</li><li>
Make strategic tooling and technology decisions to support scalability and efficiency</li><li>
Implement risk management frameworks to minimize rework and delivery delays</li><li>
Stay current with industry best practices and emerging trends in AI</li></ul><h1 class="jobSectionHeader">
Required Qualifications:</h1><h2 class="jobSectionHeader">
Experience</h2><ul><li>
10+ years of experience in ML Data production operations, program management, or related roles</li><li>
5+ years leading complex ML/AI Data delivery programs at scale</li><li>
Proven track record of scaling operations from small teams (5-10) to enterprise-level (50+)</li><li>
Experience managing multi-million dollar budgets and P&amp;L responsibility</li><li>
History of successfully delivering complex, multi-stakeholder programs on time and within budget</li></ul><h2 class="jobSectionHeader">
Technical Knowledge</h2><ul><li>
Deep understanding of AI/ML workflows, training data requirements, and quality standards</li><li>
Expertise in data annotation, labelling, model benchmarking and evaluation, and data pipeline operations</li><li>
Knowledge of data science, engineering principles, and linguistics as they apply to AI production</li><li>
Experience with production tooling, platforms, and technologies for Applied AI operations</li></ul><h2 class="jobSectionHeader">
Leadership &amp; Skills</h2><ul><li>
Exceptional leadership abilities with experience building and scaling high-performing teams</li><li>
Strong analytical and problem-solving skills with a data-driven decision-making approach</li><li>
Outstanding communication skills with the ability to influence stakeholders at all levels</li><li>
Expertise in process optimization, change management, and operational excellence methodologies</li><li>
Strategic thinking combined with hands-on execution capabilities</li><li>
Ability to thrive in ambiguous, fast-paced, dynamic environments with competing priorities</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Experience in multilingual AI operations</li><li>
Background in AI-native companies</li><li>
Degree in Computer Science, Data Science, Engineering, or related field</li><li>
Certifications in project management (PMP), process improvement (Lean Six Sigma), or related areas</li><li>
Experience with global, distributed teams and offshore operations</li></ul><h1 class="jobSectionHeader">
Our Story</h1>
Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn&rsquo;t used for enterprise products and services inside the company.The quality just wasn&rsquo;t there. So they set out to build something better. LILT was born.
LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn&rsquo;t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI.
With AI innovation accelerating and enterprise demand growing, the next phase of LILT&rsquo;s journey is just beginning.<h1 class="jobSectionHeader">
Our Tech</h1>
What sets our platform apart:<ul><li>
Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent</li><li>
Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing</li><li>
100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation</li><li>
Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review</li></ul><h1 class="jobSectionHeader"> 
LILT in the News</h1><ul><li>
Featured in The Software Report&rsquo;s Top 100 Software Companies!</li><li>
LILT makes it onto the Inc. 5000 List.</li><li>
LILT&rsquo;s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry.</li><li>
Check out all our news on our website.</li></ul>
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including r&eacute;sum&eacute; screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual&rsquo;s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.</div>

Head of Production, Applied AI

Eli Lilly

<div>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.
Organization and Position Overview:
Delivery, Devices, and Connected Solutions (DDCS) sits within Eli Lilly's Product Research &amp; Development organization. We are a diverse team of scientists and engineers responsible for discovering, designing, and developing patient-centric drug delivery solutions across a broad range of modalities &mdash; from injection devices to novel routes of administration and nanomedicines. DDCS drives the drug delivery innovation agenda across early and late development to meet the needs of an expanding portfolio that spans small molecules, biologics, and nucleic acid therapeutics. 
 
DDCS is organized around a matrix model with strong disciplinary and functional horizontals supporting innovation and commercialization verticals. Our vision is to get our medicines to more patients faster by accelerating reach and scale, guided by three strategic pillars: Delivery Systems, Robust &amp; Sustainable, and Patient Experience + Outcomes. 
The AI Application Development function is a key horizontal capability within DDCS's Data Sciences &amp; Digital Transformation team, responsible for translating the organization's data and AI strategy into production-grade, user-facing applications that accelerate decision-making across innovation and commercialization verticals. This team partners with data scientists, scientific ML engineers, data engineers, and domain specialists throughout the DDCS matrix to deliver AI solutions that are robust, compliant, and directly tied to program impact.
The AI Application Development Engineer will develop, optimize, and fine-tune full-stack AI applications that integrate AI models with front-end user experiences and back-end services to enable workflow automation and decision support across drug delivery science, device design, and development operations. Operating within the DDCS matrix, this role partners with engineers, scientists, and business stakeholders to identify high-value use cases, translate needs into robust AI solutions, and communicate insights to senior technical and business leaders. The engineer collaborates with data scientists and data engineers to ensure modeling approaches and data structures are fit-for-purpose, contributes to the DDCS AI application strategy and architecture, and oversees compliance, security, and risk management across the application lifecycle.
Responsibilities:
AI Application Delivery (Full-Stack)<ul><li>
Develop full-stack applications integrating AI models with intuitive front-end interfaces and scalable back-end services for workflow automation and decision support across DDCS programs.</li><li>
Design and implement AI application architectures connected to APIs, databases, and enterprise systems, ensuring interoperability and secure data exchange.</li><li>
Build and maintain services and APIs that operationalize AI outputs&mdash;recommendations, triage, summarization, and anomaly detection&mdash;within DDCS workflows.</li></ul> 
Model Enablement &amp; Optimization<ul><li>
Fine-tune and embed large language models and machine learning models into production-ready applications using appropriate adaptation techniques.</li><li>
Optimize AI solutions for accuracy, latency, robustness, and cost; implement monitoring and continuous improvement mechanisms post-deployment.</li><li>
Design and maintain CI/CD workflows for AI application and model lifecycle management, enabling repeatability and scalability.</li></ul> 
Use Case Discovery &amp; Stakeholder Partnership<ul><li>
Partner with device engineers, drug delivery scientists, quality, manufacturing, and business stakeholders across the DDCS matrix to understand needs and define high-impact AI use cases.</li><li>
Translate stakeholder needs into product requirements, technical designs, acceptance criteria, and delivery plans; clearly communicate trade-offs and recommendations to senior leaders.</li><li>
Quantify and communicate uncertainty, sensitivity, and robustness to support risk-based technical decision-making.</li></ul> 
Cross-Functional Data &amp; Modeling Collaboration<ul><li>
Collaborate with data scientists and data engineers to ensure data sourcing, structure, and modeling approaches are appropriate for the intended use and decision context.</li><li>
Define data requirements, validation strategies, and operational workflows to ensure robust model performance and reproducibility.</li><li>
Collaborate with the Scientific ML (SciML) horizontal to develop or apply physics-informed or mechanistic-hybrid machine learning approaches for drug delivery and device performance problems.</li><li>
Support data-efficient learning strategies including active learning, Bayesian optimization, and optimal experimental design to reduce testing burden and maximize learning.</li></ul> 
AI Strategy, Architecture, Compliance &amp; Risk Management<ul><li>
Contribute to the DDCS AI application strategy and architectural blueprint: reusable patterns, reference architectures, and platform choices.</li><li>
Apply responsible AI principles, security controls, and compliance standards throughout the application lifecycle.</li><li>
Identify and mitigate risks related to privacy, security, model behavior, and regulatory compliance (FDA, GxP, 21 CFR Part 11).</li></ul>
Basic Requirements:<ul><li>
Master's degree in Computer Science, Machine Learning, Data Science, Biomedical Engineering, Mechanical Engineering, Chemical Engineering, Applied Mathematics, or related field</li><li>
5+ years of demonstrated experience developing full-stack software integrating AI models into user-facing products or decision-support tools</li><li>
Experience building and deploying AI or machine learning systems, including at least one production deployment.</li><li>
Experience with large language model-enabled applications: retrieval-augmented generation (RAG), tool use, and agent-based workflows.</li><li>
Strong software engineering skills in Python and one or more additional languages (TypeScript, JavaScript, Java, or C#), including API and microservices design.</li><li>
Experience with cloud-based deployment, ML Ops toolchains, observability, and performance/cost optimization in production environments.</li><li>
Systems thinking: understanding how data, models, applications, and people interact</li><li>
Clear communication of AI capabilities, limitations, and business value to diverse audiences</li></ul>
Additional Preferences:<ul><li>
PhD in relevant field and 2+ years of experience as listed above</li><li>
Familiarity with regulated environments and experience implementing security, privacy, documentation, and auditability requirements across the system lifecycle.</li><li>
Domain experience in drug delivery, medical devices, combination products, human factors, manufacturing, or quality analytics.</li><li>
Demonstrated ability to collaborate effectively across data science, data engineering, and engineering teams.</li><li>
Strong written and verbal communication skills with demonstrated ability to present technical concepts to senior technical and business leaders.</li><li>
Full-stack AI application design and delivery from prototype to production</li><li>
LLM and ML model integration, fine-tuning, and operationalization</li><li>
Cross-functional collaboration and use case translation within a matrix organization</li><li>
Responsible AI: security, compliance, and model risk management in regulated environments</li><li>
Scientific curiosity and domain engagement with drug delivery device development problems</li></ul>
Other Information:<ul><li>
Trave up to 10%</li><li>
Location: Indianapolis, IN; Lilly Technology Center &ndash; North (LTC-N)</li></ul>
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. 
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$126,000 - $204,600
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>

Advisor - AI Application Development Engineer – Full-Stack AI Applications

<div>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.
Organization and Position Overview:
Delivery, Devices, and Connected Solutions (DDCS) sits within Eli Lilly's Product Research &amp; Development organization. We are a diverse team of scientists and engineers responsible for discovering, designing, and developing patient-centric drug delivery solutions across a broad range of modalities &mdash; from injection devices to novel routes of administration and nanomedicines. DDCS drives the drug delivery innovation agenda across early and late development to meet the needs of an expanding portfolio that spans small molecules, biologics, and nucleic acid therapeutics. 
 
DDCS is organized around a matrix model with strong disciplinary and functional horizontals supporting innovation and commercialization verticals. Our vision is to get our medicines to more patients faster by accelerating reach and scale, guided by three strategic pillars: Delivery Systems, Robust &amp; Sustainable, and Patient Experience + Outcomes. 
The Data Science horizontal within DDCS generates actionable scientific and business insights that accelerate innovation and de-risk commercialization across the DDCS matrix. Data scientists operate at the intersection of device engineering, drug delivery science, clinical evidence, and AI&mdash;partnering with AI application engineers, scientific ML specialists, and data engineers to build end-to-end analytical capabilities that directly shape product design decisions, device performance optimization, and patient outcome strategies.
We are seeking an exceptional Data Scientist to join DDCS's data science team. This role leverages internal and external data to generate actionable scientific and business insights that drive innovation in drug delivery technologies. The ideal candidate combines deep analytical expertise with strong business acumen to identify high-value use cases, develop data-driven solutions, and communicate compelling data stories to senior leadership. You will play a pivotal role in influencing product design decisions, optimizing device performance, and advancing DDCS's mission to improve patient outcomes through innovative drug delivery systems&mdash;operating as a key horizontal contributor within the DDCS matrix.
Responsibilities:
Use Case Identification &amp; Solution Development<ul><li>
Partner with engineers, scientists, and business stakeholders across innovation and commercialization verticals to understand needs and opportunities across the product lifecycle.</li><li>
Identify and prioritize high-impact use cases for data-driven solutions in formulation optimization, device design, quality assurance, and patient adherence.</li><li>
Design and implement analytical frameworks and predictive models to address specific business questions and technical challenges.</li><li>
Develop statistical models, machine learning algorithms, and simulation tools to support decision-making in research, development, and commercialization.</li></ul> 
Scientific &amp; Business Insights Generation<ul><li>
Analyze complex datasets from laboratory experiments, clinical studies, manufacturing processes, device sensors, and real-world evidence to extract meaningful scientific and business insights.</li><li>
Investigate device performance characteristics, patient usage patterns, drug stability, and delivery accuracy to identify opportunities for product improvement and innovation.</li><li>
Conduct exploratory data analysis to uncover trends, patterns, and anomalies that inform research priorities and strategic decisions.</li><li>
Synthesize findings from multiple data sources to provide holistic perspectives on device efficacy, safety, and market performance.</li></ul> 
Predictive Modeling &amp; Advanced Analytics<ul><li>
Build, validate, and deploy predictive models for device performance forecasting, failure mode prediction, patient outcome estimation, and quality control optimization.</li><li>
Apply statistical methods including regression analysis, hypothesis testing, survival analysis, and Bayesian inference to experimental and observational data.</li><li>
Collaborate with AI application engineers and scientific ML specialists to develop advanced models including deep learning, NLP, and computer vision applications.</li><li>
Implement model monitoring and performance tracking to ensure continued accuracy and reliability in production.</li></ul> 
Data Storytelling &amp; Leadership Communication<ul><li>
Translate complex analytical findings into clear, compelling narratives that resonate with both technical and non-technical audiences.</li><li>
Create executive-ready visualizations, dashboards, and presentations that communicate insights and recommendations to senior leadership.</li><li>
Present data-driven recommendations to influence product design, development strategies, and investment decisions across the DDCS matrix.</li><li>
Develop business cases with quantitative evidence to support new initiatives, process improvements, and strategic pivots.</li></ul> 
Cross-Functional Collaboration<ul><li>
Work closely with data engineers to define data requirements, ensure data quality, and access appropriate data infrastructure.</li><li>
Collaborate with AI application engineers to transition models from research to production environments.</li><li>
Partner with clinical, regulatory, and quality teams to ensure analytical approaches align with compliance requirements and industry standards.</li><li>
Support research scientists and engineers by providing statistical consultation and analytical expertise.</li></ul> 
Data Strategy, Innovation &amp; Mentorship<ul><li>
Stay current with emerging analytical techniques, machine learning methods, and industry trends in medical device development and digital health.</li><li>
Identify opportunities to apply novel analytical approaches to solve longstanding challenges in drug delivery device development.</li><li>
Contribute to best practices, methodologies, and capabilities within the DDCS data science horizontal.</li><li>
Mentor junior team members and promote a culture of data-driven decision-making across the DDCS matrix.</li></ul>
Basic Requirements:<ul><li>
PhD in Statistics, Biostatistics, Data Science, Computer Science, Computational Biology, Engineering, Physics, Applied Mathematics, or a related quantitative field</li><li>
Experience conducting independent research and developing novel analytical approaches, with demonstrated research excellence through publications, dissertations, or equivalent scholarly work,.</li><li>
Proficiency in Python, R, and/or ML frameworks (i.e. PyTorch, TensorFlow, scikit-learn) and visualization tools (i.e. Tableau, Power BI).</li><li>
Cross-functional collaboration and influence within a matrixed model</li><li>
Regulatory awareness and compliance mindset in GxP/GMP environments</li></ul>
Additional Preferences:
<ul><li>Post-PhD experience in pharmaceutical, biotechnology, medical device, or healthcare industries.</li><li>
Strong foundation in statistical analysis, machine learning, deep learning, and data manipulation through doctoral research or professional experience.</li><li>
Proven ability to work with complex, multi-dimensional datasets and translate analytical findings into actionable recommendations.</li><li>
Understanding of drug delivery mechanisms, pharmacokinetics, and device engineering principles.</li><li>
Experience with clinical trial design, analysis, and interpretation (adaptive designs, survival analysis, patient-reported outcomes).</li><li>
Analytical depth: statistical modeling, machine learning, and advanced data analysis</li><li>
Scientific curiosity and ability to formulate rigorous analytical questions from complex device/drug delivery problems</li><li>
Exceptional data storytelling: translating complex findings into executive-ready insights</li><li>
Strategic business acumen: connecting analytical work to portfolio and program decisions</li><li>
Mentorship and knowledge-sharing orientation</li></ul>
Other Information:<ul><li>
Travel up to 10%</li><li>
Location: Indianapolis, IN; Lilly Technology Center &ndash; North (LTC-N)</li></ul>
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. 
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$126,000 - $204,600
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>

Data Scientist – Drug Delivery Device Development

Information Technology Senior Management Forum

<div><div>Posted Date
2/28/2026
</div><div>Description
<div>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.
Join our team as a Platform Architect responsible for technical oversight and delivery with our Global Service Management P latforms ( predominately Service Now) in Tech at Lilly, working side by side with peers in a global team. You will be a technical leader who understands the platform and interdependencies of the modules, analyzes impacts of new requirements, and provides controls to ensure the correct technical solutions, with the right security standards are delivered. You will demonstrate strong technical abilities, a sound understanding of business strategy and policies that govern the Service Management platforms and possesses advanced experience and knowledge of ServiceNow security, as well as alignment to the long-term vision of enterprise solutions.
The ideal candidate will embrace emerging technologies, like AI and Automation, driving adoption across an enterprise, paired with demonstrating an enthusiasm for leveraging platform capabilities within new areas of the business. These skills will enable improved user efficiency and experience and help support the broader Company purpose of making life better for people around the world.
What You&rsquo;ll Be Doing
You will engage deeply with enterprise architects, Cyber Security, the Lilly Global Service Management Platform team, cross functional IT partners, and vendors to enhance the ServiceNow capabilities, security model and deliver new bleeding edge functionality. You will have the desire and proven ability to cut through ambiguity and re-imagine how services should be established and managed to ensure the highest levels efficiency. You will be a respected and robust technical partner who feels obligated to focus on enterprise value-based outcomes &ndash; one that can establish new enterprise capabilities through engagement with cross functional partners and vendors whilst minimizing technical dept.
How You&rsquo;ll Succeed
<ul><li>Demonstrate yourtechnicalproficiencyand governance of the ServiceNow platform, along with thought leadership and counsel to the Product Managers, along with delivery execution oversight and coaching to technical development teams.</li>
<li>Leverage your passion for AI and Automation to chart an effective course for optimising workload, allowing the team to deliver ever increasing outcomes.</li>
<li>Exhibit proven ability to define and drive the technical approach for best practices, policies, and procedures related to design and development of platform applications, security, and integrations. Ensure effective impact analysis of platform changes,maintainingconsistency and adherence to Standard Operating Procedures concerning architecture, security, data, integrations, and processes.</li>
<li>Advise on key program initiatives and technology roadmaps. Lead compliant/secure tech implementation. Influence automation toolset implementations to be aligned with strategic roadmap and standards.Maximize value derived from toolset by increasing knowledge across Tech at Lilly of capabilities</li>
<li>Oversee the design, implementation, and evolution of the platform, ensuring stability, security, and scalability. apply the least privilege principle, ensure compliance with Lilly's security controls, and oversee security awareness training.</li>
<li>Leverage automation and self-service initiatives to enhance operational efficiency and user experience. Ensure the effective integration of ITSM tools with other enterprise platforms. Stay ahead of industry trends and emerging technologies to enhance service management capabilities.</li>
<li>Stay current on ServiceNow products,securityand applicable integrated technologies</li>
<li>You willmaintainan unwavering emphasis on enhancing the digital user experience and boosting end-user productivity, transitioning technology from being a mere enabler to becoming the main driver of productivity for our workforce.</li>
<li>Be ready todemonstrateApplied knowledge of ITIL v3 and Applied knowledge of NIST Cyber Security Framework</li>
<li>You will lend your uniqueexpertiseto a diverse, driven, and successful team.</li>
</ul>
What You Should Bring
<ul><li>ServiceNow Certified System Administrator (CSA) or equivalent ITSM platform certifications</li>
<li>Clearexpertisein utilising AI and Automation toeliminatemanual workloadand reduce complexities of theremainder, including educating others on how to do the same.</li>
<li>Experience with Agile and DevOps methodologies</li>
<li>Demonstrated influence, communication, presentation, and facilitation skills.</li>
<li>Demonstrated strong partnership skills and influence with business partners inside business unit context.</li>
<li>Strong organizational and communication skills with multiple examples of being able to convey complex ideas and thoughts in manners that resulted in definitive directions and results.</li>
<li>Strong negotiation skills.</li>
<li>Proactive,demonstratedability to challenge the status quo and strong ability to drive peers and above totimelydecisions.</li>
<li>A high levelof intellectual curiosity, external perspective, technicalaptitudeand innovation interest.</li>
</ul>
Your Basic Qualifications
<ul><li>Bachelor&rsquo;s Degree in Computer Science, Information Technology, or related technical field</li>
<li>5+ years of experience in IT service management, with a strong focus on ITSM platforms (e.g., ServiceNow, BMC Remedy, Cherwell)</li>
<li>Proven experience with technical leadership global/diverse teams and large-scale ITSM transformations.</li>
<li>Experience with ITIL frameworks, service operations, and process improvement methodologies.</li>
</ul>
Additional Information:
<ul><li>Position requires 5-10% travel</li>
<li>Positionlocatedin Indianapolis, Indiana working in a hybrid model</li>
<li>Other locations may be considered based onappropriate experience.</li>
</ul>
Organization Overview
Lilly IT builds and maintains capabilities using cutting edge technologies like most prominent tech companies. What differentiates Lilly IT is that we redefine what&rsquo;s possible through tech to advance our purpose &ndash; creating medicines that make life better for people around the world, like data driven drug discovery and connected clinical trials. We hire the best technology professionals from a variety of backgrounds, so they can bring an assortment of knowledge, skills, and diverse thinking to deliver innovative solutions in every area of our business.
The Digital Core team is at the forefront of digitalization to enable and advance the entire company, with increased productivity and best-in-class Customer experiences. This team provides a robust and sustainable infrastructure of hardware, software and services that are critical to enable our global workforce and business to operate and transform. As leaders in technology and understanding business requirements and challenges, this team defines and leads the overall company technology strategy.
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$124,500 - $182,600
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>
</div><div>Salary
124,500.00 - 182,600.00 Annual</div></div><div></div>

Associate Director – Global Service Management Platform Architect

<div>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.
Transform Data into Supply Chain Excellence
We're seeking a Supply Chain Analyst who combines analytical expertise with business acumen to drive data-informed decision-making across our global supply chain operations.
What You'll Do
You'll be at the intersection of data science, operations research, and supply chain strategy. Starting with transactional data from our enterprise systems, you'll build analytics solutions that help our teams identify trends, optimize operations, and improve business outcomes. This isn't just about reporting what happened&mdash;it's about using advanced analytical techniques to predict what will happen and prescribe what should happen.
You'll partner with stakeholders across Manufacturing, Quality, Planning, and Distribution to understand their challenges, then design and deploy analytics solutions using platforms like Power BI, SAP. Whether you're optimizing inventory levels, improving production scheduling, or analyzing distribution networks, you'll apply quantitative methods to deliver measurable value.
What Sets This Role Apart<ul><li>
End-to-End Ownership: You'll be involved in the complete lifecycle&mdash;from identifying business needs through solution design, deployment, and adoption</li><li>
Diverse Impact: Your work will influence decisions across all levels of the organization, from frontline planners to executive leadership</li><li>
Technology Innovation: You'll explore emerging analytics capabilities and shape how we leverage new tools and methodologies</li><li>
Global Perspective: You'll gain exposure to pharmaceutical supply chains spanning multiple continents and regulatory environments</li></ul>
What You Bring
Required:<ul><li>
Bachelor's degree in Supply Chain, Data Science, Operations Research, Industrial Engineering, or related quantitative field.</li><li>
5+ years in manufacturing/supply chain roles with hands-on understanding of material flows and supply chain processes.</li><li>
Strong technical skills in Power BI, SAP, Excel, and SQL.</li><li>
Experience applying analytical methods to solve business problems.</li></ul>
Highly Valued:<ul><li>
Pharmaceutical or regulated industry background</li><li>
Operations research techniques: optimization, simulation, statistical modeling, forecasting</li><li>
Programming skills (Python, R) for advanced analytics augmented with AI</li><li>
Lean Six Sigma training and project experience</li><li>
Advanced degree in quantitative field</li></ul>
Who Thrives Here
You're someone who gets energized by turning messy data into clear insights. You're comfortable with ambiguity and can balance the rigor of quantitative analysis with the realities of business constraints. You build relationships easily, communicate complex ideas simply, and influence others through the power of data-driven storytelling.
You're technically capable but business-minded. You understand that the best analytical solution is the one that actually gets used and drives action. You're curious about emerging technologies but pragmatic about implementation. And you're committed to continuous improvement&mdash;both in your own skills and in the processes you support.
Why Join Us
This role offers a unique vantage point on pharmaceutical supply chains, blending process knowledge, stakeholder engagement, and advanced analytics. You'll develop expertise that's increasingly valuable as organizations continue their digital transformation journeys. You'll work with passionate colleagues who are committed to getting medicines to patients reliably and efficiently.
Additional Information:
<ul><li>This is an onsite role based in Indianapolis.</li><li>
Travel expectation up to 10%, domestic and international.</li></ul>
Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. 
Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$127,500 - $204,600
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.
#WeAreLilly</div>

Associate Director - Supply Chain Analytics

Schaefer Sign Works

<div><div><div>Benefits:</div>
<ul><li>Bonus based on performance</li>
<li>Competitive salary</li>
<li>Paid time off</li>
</ul></div><div><div> 
Schaefer Sign Works, located in Indianapolis, IN, is seeking an apprentice Sign Maker to join our expanding team. 
</div><ul><li>Experience with Printed and Vinyl Cut Graphics would be a plus but not required.</li>
<li>Experience in surveying, removing, installing, and servicing various sign projects.</li>
<li>The environment for this position is primarily in the field but will involve some in-shop work from time to time (25%).</li>
<li>Candidates must be able to work independently, and act as required by the duties and responsibilities given to them.</li>
<li>This position requires general construction and/or mechanical knowledge.</li>
<li>This can be a physically demanding position requiring hands-on abilities and use of tools and equipment to complete the required field service assignments. The work includes both interior and exterior work during all seasons and weather conditions.</li>
<li>The best matched candidate would have 2+ years of experience in sign installation and service or in a transferable role with similar skills.</li>
<li>No two days are the same in this role, lots of variety.</li>
</ul><div>Schaefer Sign Works is a growing graphic design and sign production business. Our culture is one that values relationships, fosters professional and personal growth, and one that focuses on delivering excellence to our customers. We are a company that values the communities we live and work in. We strive to positively impact and bring value to those we meet and those we do business with. We know how to work hard while enjoying what we do.</div>
<div>
 
Minimum job duties: 
</div><ul><li>Sign production and Installation</li>
<li>Full-time availability (40 hours/week)</li>
<li>Consult / interface with customers to ensure meeting quality and scope of expectations.</li>
<li>Maintain cleanliness and organization of manufacturing/production area.</li>
<li>Assist in maintaining company signage equipment.</li>
<li>Accurately keep track of electronic and paper records related to jobs.</li>
<li>Willingness to do outdoor, customer location, and vehicle, as well as &ldquo;in shop&rdquo;, fabrication and installations.</li>
<li>Ability to lift 75 lbs.</li>
<li>Comfortable working from ladder or at heights</li>
<li>Must have flexibility to lean over waist-high table and use back and forth hand motions to apply vinyl letters and graphics to substrate.</li>
<li>Ability to use power tools.</li>
<li>Learn new technologies, skills, and techniques to become a better sign-making professional.</li>
<li>Good Driving Record</li>
</ul><div>Qualifications / experience would be a plus but not required: 
</div><ul><li>Welding.</li>
<li>Concrete or Masonry</li>
<li>Vehicle wrap installation experience.</li>
</ul> <div>Please apply if you are interested in a rewarding career in an excellent environment and you meet or exceed the minimum qualifications above. 
 
Our company has solid plans for high growth, so we are looking for someone who is willing to grow responsibility and compensation along with the company. Your pay level will recognize your experience and skills and will grow as the company grows in sales and profitability. 
</div><div>Schaefer Sign Works offers a competitive compensation package. Pay is commensurate with experience. Please contact us with your interest in becoming a team member. 
</div><div>Required license or certification: 
</div><ul><li>Driver's License</li></ul></div></div>

Sign Maker Apprentice

Ascension

<div>We Are Hiring:
<div>
Location: Indianapolis, IN 
Facility: Ascension St. Vincent 
Department/Specialty: Multispecialty Surgical 
Schedule: Day shift | Full-time Weekend option</div>
What You Will Do:
<ul><li>You will gain professional growth, decision-making, mentoring, and collaboration in a fast-paced environment.</li><li>
You will provide comprehensive pre/post-operative care for highly acute surgical oncology patients (including head and neck) and general surgery patients, which encompasses pain management, drain/tube care, wound care, ambulation, discharge teaching, and medical management for general surgery patients awaiting an operation.</li></ul> 
<div></div>
What You Will Need:
<div>
Licensure / Certification / Registration:</div><ul><li>
BLS Provider obtained within 1 Month (30 days) of hire date or job transfer date required. American Heart Association or American Red Cross accepted.</li><li>
Registered Nurse credentialed from the Indiana Board of Nursing obtained prior to hire date or job transfer date required.</li></ul><div>
Education:</div><ul><li>
Diploma from an accredited school/college of nursing OR Required professional licensure at time of hire required.</li></ul>
Why Join Our Team:
<div>
Ascension is a leading nonprofit Catholic health system with a culture and associate experience grounded in service, growth, care and connection. We empower our 99,000+ associates to bring their skills and expertise every day to reimagining healthcare, together. Recognized as one of the Best 150+ Places to Work in Healthcare and a Military-Friendly Gold Employer, you&rsquo;ll find an inclusive and supportive environment where your contributions truly matter.</div>
Equal Employment Opportunity Employer:

Equal employment opportunity employer
Ascension provides Equal Employment Opportunities (EEO) to all associates and applicants for employment without regard to race, color, religion, sex/gender, sexual orientation, gender identity or expression, pregnancy, childbirth, and related medical conditions, lactation, breastfeeding, national origin, citizenship, age, disability, genetic information, veteran status, marital status, all as defined by applicable law, and any other legally protected status or characteristic in accordance with applicable federal, state and local laws. For further information, view the EEO Know Your Rights (English) poster or EEO Know Your Rights (Spanish) poster.
Fraud prevention notice
Prospective applicants should be vigilant against fraudulent job offers and interview requests. Scammers may use sophisticated tactics to impersonate Ascension employees. To ensure your safety, please remember: Ascension will never ask for payment or to provide banking or financial information as part of the job application or hiring process. Our legitimate email communications will always come from an @ascension.org email address; do not trust other domains, and an official offer will only be extended to candidates who have completed a job application through our authorized applicant tracking system.
E-Verify statement
<div>Employer participates in the Electronic Employment Verification Program. Please click here for more information.</div> 
<div></div>
Benefits:
<div>
Paid time off (PTO) 
Various health insurance options &amp; wellness plans 
Retirement benefits including employer match plans 
Long-term &amp; short-term disability 
Employee assistance programs (EAP) 
Parental leave &amp; adoption assistance 
Tuition reimbursement 
Ways to give back to your community</div><div></div><div> 
Benefit options and eligibility vary by position. Compensation varies based on factors including, but not limited to, experience, skills, education, performance, location and salary range at the time of the offer.</div></div>

Registered Nurse Multispecialty Surgical

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