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Information Technology Senior Management Forum

<div><div>Posted Date 8/31/2026
</div><div>Description
At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work&mdash;but it&rsquo;s work worth doing. If you&rsquo;re driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us. 
 
Corporate Audit Services Organization Overview
Corporate Audit Services (CAS) is an independent, objective audit and consulting function driven by a commitment to add value and enhance the operations of Eli Lilly and Company. CAS's mission is to support the company in achieving its objectives by employing a systematic, disciplined approach to evaluate and improve the effectiveness of risk management, control, and governance processes.
Position Description
This position builds and delivers best-in-class, end-to-end analytics solutions on Microsoft Fabric, the foundation of the CAS data platform. Working across the full lifecycle, from data engineering, warehousing, and ELT through semantic models, Power BI, and Fabric apps, the individual creates and evolves a portfolio of Fabric solutions that turn CAS data into trusted, self-service intelligence.
A core focus is building AI Ready Semantic Models, the governed, contextual data layer that grounds Claude and AI agents in trusted CAS data. Partnering directly with CAS audit teams and stakeholders, the individual translates business needs into working solutions, drives efforts to completion, and grows adoption across the function, delivering high-quality, well-governed solutions within the CAS data architecture and data engine standards.
The individual also helps innovate how CAS builds and automates, leveraging Claude Code and beginning to apply agentic frameworks to accelerate development and automate CAS audit and Data Analytics operations. Above all, this is a hands-on builder who thrives on a team of doers, collaborates openly, sets and evolves standards alongside peers, and partners across Finance and the broader Lilly organization to deliver where it creates the most value.
Success in this role is as much about how the work gets done as what gets built. This is a highly collaborative, hands-on team of builders who share openly, support one another, and put the team's success first. The individual brings an ownership mindset and a high personal bar, communicates with clarity and empathy, stays humble and curious, and builds trust across CAS and its partners, contributing to a positive culture where people do their best work.
Primary Position Responsibilities
Fabric Data Engineering &amp; ELT
<ul><li>Design, build, and maintain scalable data solutions on Microsoft Fabric, spanning lakehouses, warehouses, and a medallion architecture (Bronze, Silver, and Gold layers).</li>
<li>Engineer the full ELT lifecycle, building ingestion, transformation, and refresh pipelines with Fabric notebooks and configuration-driven frameworks that are scalable, reusable, and maintainable.</li>
<li>Build and maintain data orchestration across solutions, coordinating pipelines, dependencies, scheduling, and refresh.</li>
<li>Refactor and migrate existing solutions onto the Fabric platform, following established governance and deployment standards.</li>
<li>Apply CI/CD, Git version control, and automated testing that bring engineering rigor and repeatability to solution development.</li>
<li>Uphold and extend the CAS data architecture and governance frameworks, keeping solutions secure, well-structured, and maintainable at enterprise scale.</li>
</ul>Semantic Models, Power BI &amp; Fabric Apps
<ul><li>Build data engines and semantic models on Fabric to the CAS data engine standards, primarily using Direct Lake, with strong attention to DAX and model performance for governed, high-performance consumption by Power BI, Fabric apps, and Claude.</li>
<li>Develop AI Ready Semantic Models, establishing the holistic contextual layer within the semantic model (definitions, relationships, and business meaning) that makes it consumable by large language models and grounds Claude in trusted CAS data.</li>
<li>Leverage Claude, MCP, and Claude Code to build and enrich AI Ready Semantic Models and to innovate how CAS delivers AI-grounded analytics.</li>
<li>Own Power BI solution delivery, building dashboards, executive visualizations, and reporting that make data accessible and actionable for stakeholders.</li>
<li>Innovate new Fabric app solutions, designing and building Fabric-native applications that extend how CAS delivers and consumes data.</li>
<li>Architect self-service analytics that enable stakeholders to explore data without ongoing developer support.</li>
<li>Establish enterprise deployment patterns, including shared datasets, deployment pipelines, and version control that bring engineering rigor to analytics delivery.</li>
</ul>Solution Delivery &amp; Stakeholder Partnership
<ul><li>Partner with CAS audit leadership to understand their priorities, workflows, and process pain points, translating them into analytics and automation solutions that measurably improve how audits are executed.</li>
<li>Act as a trusted advisor, proactively identifying opportunities to streamline audit processes and bringing forward solutions rather than waiting for requirements.</li>
<li>Maintain and evolve a portfolio of Fabric solutions, continuously improving performance, usability, and reliability.</li>
<li>Deliver organizational reporting and analytics dashboards for business partners, leaders, and stakeholders.</li>
<li>Orchestrate work delivery through Smartsheet, managing intake, prioritization, tracking, and delivery metrics.</li>
<li>Operate in an Agile delivery model, driving continuous improvement, adoption, and business value.</li>
</ul>Automation &amp; Agentic Innovation
<ul><li>Automate CAS audit processes, building automation solutions for auditors that reduce manual effort and improve consistency across audit execution.</li>
<li>Automate Data Analytics operations, streamlining intake, delivery, and platform tasks to increase team efficiency and quality.</li>
<li>Leverage Claude Code and AI-assisted development to accelerate the build and maintenance of Fabric and automation solutions.</li>
<li>Pilot autonomous solutioning, applying agentic frameworks to automate build, testing, and operational tasks as this emerging capability matures.</li>
<li>Contribute to the CAS Claude Skill strategy, helping create and maintain reusable skills that encode Fabric, solution, and automation capabilities.</li>
<li>Pioneer and help define how agentic approaches evolve into AI-native CAS solutions over time, establishing early patterns the team will build on.</li>
</ul>Technical Leadership &amp; Innovation
<ul><li>Set, follow, and evolve technical standards alongside the team, contributing best practices, design patterns, and reusable templates to the shared Confluence repository referenced across Data Analytics and CAS.</li>
<li>Lead solution design for complex analytics and data challenges, shaping the approach and bringing peers along collaboratively.</li>
<li>Own delivery end to end, driving efforts to completion and taking accountability for quality, performance, and outcomes.</li>
<li>Contribute to solution and code reviews, exchanging feedback with peers to keep quality, consistency, and governance high across the team.</li>
<li>Advance how CAS builds, evaluating and piloting emerging Fabric, analytics, and agentic capabilities and sharing what works so the whole team benefits.</li>
<li>Share knowledge and enablement, helping build collective capability on Fabric, semantic modeling, Power BI, and AI tools.</li>
</ul>Basic Qualifications / Requirements
<ul><li>Bachelor's Degree in Business Analytics, Data Science, Computer Science, Information Systems, Data Engineering, or related field, or equivalent experience.</li>
<li>5+ years of relevant professional experience in data engineering, analytics, or data solution development within a global, matrixed organization.</li>
<li>Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization or visas for this role, including but not limited to F-1 CPT, F-1 OPT, F-1 STEM OPT, J-1, H-1B, TN, O-1, E-3, H-1B1, or L-1.</li>
</ul>Additional Skills / Preferences
<ul><li>Demonstrated experience leading end-to-end data solution delivery and setting technical standards that others follow, including through solution and design reviews.</li>
<li>Hands-on Microsoft Fabric experience (preferred) or a similar cloud data platform, including Lakehouse and warehouse design, medallion architecture, notebooks, and the full ELT lifecycle.</li>
<li>Strong semantic modeling proficiency, including advanced DAX, model design, and performance optimization.</li>
<li>Power BI and Fabric app delivery as a presentation layer, including dashboards, executive visualizations, and Fabric-native applications.</li>
<li>Data engineering languages and tools (Python, PySpark, SQL) and configuration-driven, automated data pipelines across diverse source systems.</li>
<li>Power BI and Fabric app delivery as a presentation layer, including dashboards, executive visualizations, and Fabric-native applications.</li>
<li>End-to-end solution delivery from requirements through deployment, adoption, and iteration.</li>
<li>Stakeholder partnership, translating business or audit needs into working solutions and driving adoption.</li>
<li>Process automation experience, building automations that reduce manual effort for business or operations teams.</li>
<li>CI/CD, Git, version control, testing, and DataOps for analytics and data engineering.</li>
<li>Pipeline monitoring and operational support patterns, including alerting and reliability practices.</li>
<li>Exposure to Claude Code, or strong interest in adopting AI-assisted development to accelerate solution building.</li>
<li>Interest in agentic AI frameworks and autonomous solutioning, with a desire to help build this emerging capability for CAS.</li>
<li>Structured data formats (JSON, YAML) and data-grounding patterns for AI.</li>
<li>Data access and security controls to govern data and AI access.</li>
<li>Data privacy and AI governance awareness, including responsible AI practices.</li>
<li>Regulated enterprise experience with attention to data governance and auditability.</li>
<li>Agile delivery methodologies and work-management tooling such as Smartsheet.</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 (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women&rsquo;s Initiative for Leading at Lilly (WILL). 
 
Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is
$129,000 - $189,200
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>Salary129,000.00 - 189,200.00 Annual
</div><div></div><div><div>Type
<div>Full-time</div></div></div></div>

Associate Director - CAS AI Analytics Platform Engineering & AI Solutions

Solvonex

Solvonex is an Indianapolis based managed IT and enterprise technology provider. We are a small, fast moving team where engineers own real problems end to end. Our owner is known by four words: he builds or rebuilds. If that is interesting to you, keep reading.NOTE: No remote workers! Must live in metro Indianapolis. Fluent English. No work VISA scenarios. Must be able a US Citizen. No criminal record and can pass background and security checks.Our flagship work right now is building a middleware solution with a practical AI layer on top. You would be building and running real infrastructure and modern solutions for a real business, not maintaining someone else&rsquo;s legacy stack. This project is cool, and we more in the pipeline!The RoleThis is a full spectrum engineering seat. You will ship software, operate cloud infrastructure, administer business systems, and put hands on the network, all in the same week. The role is modeled on what our lead cloud architect does today, and you will work directly with him, our network engineer, our IT service desk, and our owner.We are not expecting you to arrive elite on all of it. We are expecting you to be genuinely capable across most of it, honest about the rest, and fast at closing gaps. Trajectory beats tenure here. Self-taught engineers, career changers, and early career standouts are explicitly welcome if you can show us real work, great communication skills, and wisdom in how you apply your technology skills.What You Will DoApplication and integration engineering<ul><li>Build and maintain the integrations that connect business systems: ERP, sales, cloud project management, accounting, legacy, on-premise, and Microsoft 365.</li><li>Write real code with idempotency, retry discipline, and clean error handling, because these integrations move business data that people rely on.</li><li>Turn fuzzy business requests into working software slices, then iterate with the people who use them.</li></ul>Cloud platform and infrastructure<ul><li>Build and operate serverless first AWS infrastructure: Lambda, API Gateway, Step Functions, EventBridge, SQS and SNS, S3, DynamoDB, CloudWatch, and IAM Identity Center.</li><li>Manage infrastructure as code with Terraform inside an AWS Control Tower and Landing Zone Accelerator environment.</li><li>Keep environments secure, monitored, and recoverable, and treat least privilege access as the default, not the exception.</li></ul>Data engineering and replication<ul><li>Support replication pipelines built on AWS DMS with change data capture, feeding read models from source systems.</li><li>Work with field level mapping, source of truth rules, and conflict resolution, so that data means the same thing everywhere it lands.</li><li>Administer and tune the databases behind it: RDS for SQL Server (Multi-AZ) and DynamoDB.</li></ul>AI integration<ul><li>Build with Amazon Bedrock, retrieval augmented generation, and MCP, and support Microsoft Copilot in a governed enterprise environment.</li><li>This is practical, production AI wired into real business workflows, with human validation and audit trails, not demos.</li></ul>Systems administration and support<ul><li>Administer Microsoft 365, Active Directory, and Entra ID across client environments.</li><li>Own escalated tickets through to resolution with clear communication, and document fixes so the same problem does not come back as a surprise.</li></ul>Network support<ul><li>Put hands on the firewall and VPN, primarily Fortinet: rule and policy changes, VPN setup, segmentation, and connectivity troubleshooting.</li><li>Diagnose across layers, from the firewall and network through the servers to the applications, and know where the problem actually lives.</li><li>Support our switching and cloud managed wireless environments alongside our network engineer, who owns the overall network and firewall design. You are the hands and the fast diagnosis; he owns the architecture.</li><li>Bring network and server telemetry into our AI platform.</li></ul>Compliance and governance<ul><li>Work inside a regulated client environment with audit grade logging: CloudTrail, AWS Config, and ISO 27001 aligned practices.</li><li>Treat documentation and change discipline as part of the job, because in this environment they are.</li></ul>Core Technologies<ul><li>Cloud: AWS, serverless first architecture</li><li>Infrastructure as code: Terraform, AWS Control Tower, AWS Landing Zone Accelerator</li><li>Compute and integration: Lambda, API Gateway, Step Functions, EventBridge, SQS/SNS, S3, DynamoDB, CloudWatch, IAM Identity Center</li><li>Databases: RDS for SQL Server (Multi-AZ), DynamoDB</li><li>Business systems: Dynamics 365 Business Central and NAV over OData/API, project management platforms, IBM i / AS/400 with DB2 for i, Microsoft 365</li><li>Data engineering: AWS DMS, change data capture, read models, field level mapping</li><li>AI: Amazon Bedrock, RAG, MCP, Microsoft Copilot</li><li>Security and identity: MFA and identity systems, Active Directory and Entra ID, secrets management, least privilege access</li><li>Network and firewall: Fortinet firewalls, VPN, segmentation, switching and cloud managed wireless</li><li>Compliance: Audit grade logging, CloudTrail, AWS Config, ISO 27001 aligned environment</li></ul>How the Role Weighs Out in Year OneNo one walks in doing all of this at once. Here is an honest picture of where your time will go in the first year.Area of the roleWeight in year oneApplication and integration engineeringHeavyCloud platform and infrastructureHeavyData engineering and replicationModerateSystems administration and user supportModerateAI integrationModerate, growing through the yearNetwork and firewallLight to moderate, hands-on firewall and VPNWho We Are Looking ForWhere you sit on paper matters less than what you can actually do. The most likely versions of you: an MSP grown systems or network engineer who has been quietly doing more than the title says, or a mid-level cloud or DevOps engineer with three to five years who is ready to own more than a lane. If you are neither of those and you can still show us the work, apply anyway.You bring<ul><li>Real, demonstrable work across several of the areas above, and honesty about where you are thin.</li><li>Code you are not embarrassed by, in at least one serious language, and comfort living in the terminal.</li><li>Clear written and spoken communication. You will talk to real users and real stakeholders, and they will remember how it felt.</li><li>Genuine care for the person behind the ticket. Fixing the machine is half the job; the other half is the human waiting on it.</li><li>Energy for the work. You are jazzed about AI actually doing useful things in a business, not just talking about it.</li><li>A valid driver license and reliable transportation.</li></ul>Show Us, Do Not Just Tell UsAnyone can say they can do the job. We hire the ones who can prove it.The proof is a live walkthrough of real work you have done: what you built, the calls you made and why, what broke, and how you handled it. If your best work lives under an NDA or inside a client&rsquo;s production environment, that is fine and common in this field; a live walkthrough substitutes for a public repo. We care about the work, not where it is hosted.Fair warning: our process includes that live walkthrough and a short hands on exercise. We have been burned by big talk before, so we test for the real thing now. If you can do the work, this is where you get to show off. If you cannot, this is a bad fit, and we would both rather find that out now.Practical ExpectationsOn site, for realThis role is fully on site, split between the Solvonex office and client sites in the Indianapolis metro. It is not remote, it is not hybrid, and it will not become remote later. If your plan is to negotiate that after ninety days, save us both the meeting.Plan on a commute of up to roughly one hour each way in normal traffic. If that sounds fine in June, ask yourself how it sounds in February, because we will still expect you in February.TimelinessOn site and ready at the agreed time, every time. When you commit to a date, we plan around it, so slippage gets flagged early, not on the due date. Nobody here gets in trouble for flagging a problem early. It is the late surprise that hurts.After hours and maintenance window work exists in this business. Escalation rotates across the team. It is shared, not dumped on the new person.Physical requirementsWith or without reasonable accommodation, you must be able to:<ul><li>Lift and carry up to 40 pounds.</li><li>Access equipment that is sometimes reachable only by stairs.</li><li>Work in server rooms and wiring closets, use ladders, bend, kneel, and spend extended time on your feet.</li><li>Rack and cable equipment.</li></ul>We provide carts and lift assists for heavier moves. If you need an accommodation, tell us, and we will work with you to find one if it is available.Why This Role MattersYou would be joining early, on a platform that is actively being built, working beside an owner with roughly thirty years of IT and executive experience who still ships. The systems you touch run a real regulated business. The decisions you make will still be visible in the architecture years from now. If you want a seat where the work compounds, this is one.Compensation and BenefitsThe salary range for this role is $80,000 to $100,000, depending on experience. Where you land in that range reflects how much of the role you can carry on day one, not how many years you have been working. Bonuses available.How to ApplySend a resume and, if you have one, a link to work we can see. If your best work is not public, say so; the walkthrough covers it. Tell us in a few sentences which parts of this role you can carry today and which parts you would be growing into. Honesty here is a point in your favor, not against.Solvonex is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.Pay: From $80,000.00 per yearBenefits:<ul><li>Paid time off</li></ul>Application Question(s):<ul><li>You are OK with working on-site and know this is not a remote job?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AWS: 1 year (Required)</li><li>IT: 3 years (Preferred)</li></ul>Language:<ul><li>English (Required)</li></ul>Location:<ul><li>Indianapolis, IN 46268 (Required)</li></ul>Ability to Commute:<ul><li>Indianapolis, IN 46268 (Required)</li></ul>Work Location: In person

DevOps Platform and Infrastructure Engineer

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Associate Director - CAS AI Analytics Platform Engineering & AI Solutions

DevOps Platform and Infrastructure Engineer