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agentic ai data scientist

The Hartford

<div>Data Scientist - GD08AE<p>
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future.<br>
</p><p></p><p>Step into the future with The Hartford as an AI Scientist, where Generative AI isn&rsquo;t just a buzzword&mdash;it&rsquo;s central to our strategy. Join a team that&rsquo;s advancing AI‑driven solutions across underwriting and sales enablement, transforming how complex commercial risks are evaluated and decisions are made. As part of our Applied AI Middle &amp; Large Business team, you&rsquo;ll work on high‑impact use cases and help shape the development of GenAI capabilities embedded directly into core business workflows. Here, your work delivers real, measurable impact&mdash;driving innovation, efficiency, and smarter decision‑making with cutting‑edge AI tools. If you&rsquo;re looking for a role where your expertise is essential to the future of commercial insurance, The Hartford is the place for you.<br>
<br>
We are looking for a technically proficient GenAI data scientist with deep implementation experience in building and evaluating GenAI systems, and a proven ability to stay at the forefront tools and techniques in the evolving AI landscape.<br>
<br>
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday).<br>
<br>
<b>Responsibilities:</b><br>
<br>
Support The Hartford&rsquo;s AI innovation strategy to identify and implement high-end use cases, ensuring alignment with business objectives and emerging industry trends.
<br>
Support cutting-edge AI vision and roadmap for the enterprise to make The Hartford a leader in using AI for the insurance industry.<br>
Partner with stakeholders internal to the Data Science organization, Technology organization and business organization, aligning with business objectives and driving innovation to improve productivity and efficiency of underwriting and sales efforts.<br>
Design and build GenAI solutions for tasks such as summarization, question answering, search, data synthesis, etc.</p><p>
Design, build, and support traditional machine learning solutions, while developing and maintaining robust Python infrastructure using strong coding fundamentals such as object‑oriented programming, modular design, and testing.<br>
Apply AI techniques to complex and heterogeneous risk exposures within Middle &amp; Large Commercial portfolios.<br>
Rapidly prototype with cutting-edge tools, such as VertexAI/Google agent development kit, LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs, etc.<br>
Research and recommend novel foundation model options, tools, and libraries to improve solutions in performance and reliability.<br>
Develop evaluation pipelines for generative outputs using a mix of automatic metrics, human feedback, and llm-as-a-judge methods.<br>
Collaborate with ML Ops to ensure best practice is followed for scalable training and deployment.<br>
<br>
<br>
<br>
<b>Qualifications:</b><br>
<br>
Master&rsquo;s or PhD in Computer Science, Artificial Intelligence, Machine Learning, Engineering or a related field.<br>
3+ years of industry experience in machine learning or data science and with 1+ years focused on GenAI.<br>
Proven experience in GenAI tools such as Vertex AI/Google agent development kit, LangChain/LangGraph, RAG frameworks, HuggingFace, OpenAI APIs, etc.<br>
Solid understanding of prompt engineering, retrieval-augmented generation (RAG), agent workflow, and LLM evaluation.<br>
Proficiency in Python and ML frameworks such as Scikit-Learn, PyTorch, TensorFlow, etc.<br>
Experience developing and deploying agentic AI workflows and systems<br>
Experience with vector databases such as Chroma, Pinecone, etc. and cloud platforms such as GCP, AWS, Azure, etc.<br>
Strong analytical, problem solving and debugging skills.
<br>
Excellent communication and collaboration skills, with the ability to explain complex technical concepts to non-technical stakeholders across the enterprise.</p><p><b>
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.</b></p><p><b>
Compensation</b></p><p>
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:</p>
$90,160 - $135,240<p>
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p></div>

Agentic AI Data Scientist

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Master's degree in a quantitative discipline such as Statistics, Engineering, Sciences, or equivalent practical experience.<br>
</li>
<li>4 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.<br>
</li>
<li>Experience building agentic workflows (e.g., agent development kit (ADK), context management, and prompt engineering) to transform corporate processes.</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>6 years of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis.<br>
</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2>
Google's leadership team hand-picks thorny business challenges, and members of BizOps work in small teams to find solutions. As part of this team you fully immerse yourself in data collection, draw insight from analysis, and then zoom out to develop compelling, synthesized recommendations. Taking strategy one step further, you also persuasively communicate your recommendations to senior-level executives, roll-up your sleeves to help drive implementation and check back-in to see the impact of your recommendations.
<p>
As a Senior Business Data Scientist, you will collaborate with other data scientists, analysts, engineers, and Product Managers (PMs) to create end-to-end AI/ML and Agentic solutions to transform Finance processes and drive AI adoption across the organization. You will demonstrate experience in solving business problems through a product/transformation mindset with AI/ML technical knowledge.</p>
The US base salary range for this full-time position is $163,000-$237,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.<br>
<br>
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Work cross-functionally with analysts, engineers, and program managers to develop and deploy agentic and AI solutions.</li>
<li>Use a product-driven mindset to transform key Finance processes using Agents and AI.<br>
</li>
<li>Partner with your product team to solve problem and deliver end-to-end process transformation.</li>
<li>Operationalize and monitor solutions; design and deploy model endpoints that adhere to high-availability Service Level Agreements (SLAs), implementing necessary health checks, retries, and fallback mechanisms.</li>
<li>Communicate results to peers, stakeholders, and leaders.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Business Data Scientist, Agentic AI, Finance

United Airlines

<div>Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.<br>
<br>
Come join us to create what&rsquo;s next. Let&rsquo;s define tomorrow, together.<br>
<h2 class="jobSectionHeader"><b>
Description</b></h2><div><p>
United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.</p><p></p><p><b><br>
Job overview and responsibilities</b></p><p><br>
This role will drive architecture, development, and operations of our ML engineering and GenAI systems, enabling scalable and responsible AI solutions across the business.</p><p>
This role requires a deep understanding of ML infrastructure and MLOps, combined with hands-on or architectural experience in LLMs, RAG pipelines, and GenAI application integration<br>
The position involves leading a team of ML engineers and collaborating cross-functionally with Data Science, Data Engineering, DevOps, and business units to deliver impactful AI outcomes at scale.</p><ul><li><b><br>
Strategic Leadership &amp; Platform Ownership:</b><ul><li>
Define and execute the ML/GenAI platform strategy aligned with enterprise digital transformation objectives</li><li>
Hands-on experience leading a Generative AI and AI Agents</li><li>
Own the platform roadmap, architecture decisions, and budget planning to scale AI capabilities across the enterprise</li><li>
Collaborate with CDO, CIO, and senior stakeholders to identify, prioritize, and fund impactful AI/GenAI investments</li><li>
Represent the ML Center of Excellence (COE) in cross-functional meetings and strategic planning forums</li><li>
Communicate strategy, progress, and outcomes to executive stakeholders through clear presentations and business narratives</li><li>
Serve as the primary liaison between the COE and business units, effectively communicating technical capabilities and business impact</li></ul></li><li><b>
GenAI &amp; LLM Strategy:</b><ul><li>
Lead initiatives around LLMs and foundation models (e.g., OpenAI, Anthropic, and Hugging Face)</li><li>
Design and operationalize GenAI pipelines (e.g., RAG, prompt orchestration, fine-tuning, and safety guardrails)</li><li>
Work with AI engineers to help them drive the architecture, design, and implementation of key components of the Agentic AI and Machine Learning platform</li><li>
Build and deploy secure, scalable GenAI applications with a strong emphasis on privacy, safety, and compliance</li><li>
Integrate LLMs into enterprise workflows, such as copilots, document summarization, intelligent assistants, and domain-specific Q&amp;A systems</li><li>
Partner with business leaders to identify opportunities where Agentic AI and Machine Learning can create measurable value. Translate business needs into clear AI solution designs, including guardrails, validation approaches, and measurable success metrics</li></ul></li><li><b>
GenAI Engineering &amp; AIOps:</b><ul><li>
Design, manage, and monitor the enterprise AI engineering platform, ensuring scalability, reliability, and automation</li><li>
Take ownership of observability, and resilient architecture</li><li>
Develop robust AIOps processes to monitor model performance, detect drift, and automate retraining and validation</li><li>
Build and maintain tools and frameworks to govern GenAI models for compliance, bias, versioning, traceability, and auditability</li></ul></li><li><b>
Data Engineering &amp; Feature Platforms:</b><ul><li>
Design and implement feature engineering and data pipelines to deliver high-quality training data and inference-ready datasets</li><li>
Partner with data scientists and engineers to create reusable, production-grade feature stores and pipelines</li><li>
Solve complex data ingestion, transformation, and governance challenges in collaboration with data platform and DataOps teams</li><li>
Develop integrated ML/AI solutions on enterprise analytics platforms</li></ul></li><li><b>
Team Leadership &amp; Talent Development:</b><ul><li>
Hire, mentor, and grow a high-performing AI engineering team with a focus on innovation, execution, and impact</li><li>
Provide technical mentorship and guidance to AI engineers and data scientists, ensuring high standards in design and implementation</li><li><p>
Promote a culture of continuous learning, experimentation, and operational excellence.</p></li></ul></li><p></p><li><b><br>
Building auto-scaling ML systems:</b><ul><li>
AI Engineering &amp; AIOps<ul><li>
MLflow, KServe, SageMaker, Vertex AI, Databricks, etc.</li></ul></li><li>
GenAI<ul><li>
LLM providers (OpenAI, Anthropic), Hugging Face, LangChain, Agentic Frameworks, Agent Evaluations, etc.</li></ul></li><li>
Data Infra<ul><li>
Spark, Kafka, Delta Lake, etc</li></ul></li><li>
DevOps<ul><li>
Kubernetes, Jenkins, GitOps, Terraform, etc<br>
</li></ul></li></ul></li></ul></div><h2 class="jobSectionHeader"><b>
Qualifications</b></h2><div><h3 class="jobSectionHeader"><b>
What&rsquo;s needed to succeed (Minimum Qualifications):</b></h3><div></div><ul><li><p><br>
Bachelor's degree</p><p>
Computer Science, Data Science, Engineering or related field</p></li><li>
5+ years of experience leading product or technical teams and delivering large-scale initiatives</li><li>
2+ years of Gen AI experience</li><li>
Proven experience guiding cross-functional teams through complex, multi-stakeholder programs</li><li>
Must be legally authorized to work in the United States for any employer without sponsorship</li><li>
Successful completion of interview required to meet job qualification</li><li>
Reliable, punctual attendance is an essential function of the position</li></ul><p></p><h3 class="jobSectionHeader"><b><br>
What will help you propel from the pack (Preferred Qualifications):</b></h3><br>
<p></p><ul><li>
Master's degree</li><li>
10+ years of experience delivering large-scale initiatives</li></ul></div><br>
The base pay range for this role is $147,060.00 to $191,516.00.<br>
The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards.<br>
<br>
You may be eligible for the following competitive benefits: medical, dental, vision, life, accident &amp; disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges.<br>
<br>
United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status and other protected status as required by applicable law. Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT.<br>
<br>
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions. Please contact JobAccommodations@united.com to request accommodation.</div>

Sr. Manager, AI Platform Engineering

GE HealthCare

<div><h1 class="jobSectionHeader"><b>Job Description Summary</b></h1>
The GEHC Advanced Visualization Solutions (AVS) segment, a fast-growing business in GE HealthCare, is the global leader in ultrasound medical devices and solutions. The portfolio spans the continuum of care to enable customers with ultrasound screening, diagnosis, treatment and monitoring of diseases. Our customers are seeking to improve efficiency in radiology and beyond and increase user confidence to provide better clinical outcomes continues to grow. Consequently, the need for AI, digital solutions, and automation, connecting devices and software in one seamless ecosystem continues to proliferate.
<br>
<br>
This person will design and build comprehensive data solutions that will power GE Healthcare&rsquo;s AVS segment&rsquo;s next generation of analytics and AI. In this hands-on role, you will design and build curated semantic layers, scalable pipelines, and enterprise-grade sematic models &ndash;whilst layering in AI-powered capabilities using approved platforms as the foundation matures.<br>
<br>
**No sponsorship or OPT for this role**<p></p><h1 class="jobSectionHeader"><b>
Job Description</b></h1><p><b>
**No sponsorship or OPT for this role**</b></p><p></p><p>
As the Data Engineer of the AVS Digital Transformation team, you&rsquo;ll bridge enterprise data strategy with segment-specific innovation to deliver self-service analytics, conversational AI, predictive insights and intelligent automation within AVS.</p><p></p><p><b>
1. Build an AI-Ready Data Foundation (40%)</b></p><ul><li><p>
Design and implement curated, semantic data layers (dimensional models, business definitions), ensuring accuracy, traceability, and AI/ML readiness for BI and generative AI use cases.</p></li><li><p>
Design scalable SQL-based pipelines to transform raw and enterprise data into analytics-ready assets</p></li><li><p>
Implement data quality frameworks, lineage, and governance, according to standards set by the central data office team.</p></li></ul><p><b>
2. Elevate Analytics &amp; Self-Service (35%)</b></p><ul><li><p>
Lead enterprise-grade Power BI semantic model design (Dataflows, composite models, aggregations) to enable low-latency, high-performance reporting for executives and analysts.</p></li><li><p>
Integrate and extend enterprise semantic models with AVS-specific business logic and conformed dimensions, aligning definitions across the segment.</p></li><li><p>
Define best practices for DAX, M, and workspace governance (deployment pipelines, refresh strategies) within team to advance BI maturity and self-service</p></li><li><p>
Partner with visualization analysts and business leaders to translate requirements into trusted, performant models and reusable domain data products.</p></li></ul><p><b>
3. Drive AI &amp; Advanced Analytics Adoption (25%)</b></p><ul><li><p>
Design AI-ready semantic layers and metadata that enable natural-language querying, conversational analytics, automated retrieval and intelligent workflows</p></li><li><p>
Build and deploy AI solutions using enterprise-approved platforms. Implement operational forecasting, anomaly detection and segmentation.</p></li><li><p>
Engage central AI/ IT for evaluation, architecture guidance and enterprise deployment of AI use cases that exceed approved platform capabilities</p></li></ul><p><b>
Required Qualifications</b></p><ul><li><p>
8+ years in data architecture/engineering delivering dimensional models, curated marts, and production pipelines in cloud environments (e.g., AWS Redshift/S3/Glue, Microsoft Fabric/Azure, ADF or equivalent).</p></li><li><p>
Mastery of SQL, DAX, and Power Query (M); strong performance tuning and model optimization at scale.</p></li><li><p>
Deep Power BI experience: semantic modeling, composite models, aggregations, dataflows, and Fabric integration.</p></li><li><p>
Hands‑on with Copilot Studio, Fabric Data Agents, or AWS Bedrock.</p></li><li><p>
Familiarity with Power Apps / Power Automate for end‑to‑end digital workflows.</p></li></ul><p><b>
Preferred</b></p><ul><li><p>
Microsoft certifications: DP‑600 (Fabric Analytics Engineer), DP-700 (Fabric Data Engineer), PL‑300 (Power BI Data Analyst), AZ-900 (Azure AI), PL-400 (Power Platform Developer Associate)</p></li><li><p>
AI/ML integration: Python for data prep/modeling; designing data/semantics for NLQ, agentic systems, and platforms such as AWS Bedrock or Fabric ML.</p></li><li><p>
Experience partnering with centralized AI and data teams to produce models and agentic solutions.</p></li><li><p>
ERP/CRM data integration (e.g., Oracle EBS, Salesforce) and familiarity with enterprise data governance.</p></li></ul><p></p>
We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $138,000.00-$207,000.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.<p></p><h1 class="jobSectionHeader"><b>
Additional Information</b></h1><div><div><div><div><div><div><div><p>
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.</p></div></div></div></div></div></div></div><p></p><div><div><div><div><div><div><div><p>
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
</p></div></div></div></div></div></div></div><p></p><p>While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.</p><p></p><div><div><div><div><div><div><div><p><b>
Relocation Assistance Provided: </b>No</p></div></div></div></div></div></div></div><p></p>
Application Deadline: March 26, 2026</div>

AI Analytics Engineer, AVS Digital Transformation

Logic, Inc.

<div><div>Strategy Manager | Senior Level | Full time
</div><div>Job No. R00315153 | Multiple Locations</div></div>
<br><div><div><div><div><p><b>We are:</b></p>
</div><div><p>Talent and Organization, and we help clients reinvent how work gets done in an AI-enabled world. How? We make decisions based on insights. We give people the tools and roadmaps to do their best work. We create digital experiences employees love. And we teach companies how to grow great, forward-thinking leaders. Our approach and our people put us at the front of the pack for workforce reinvention and Human+Machine strategy. We help clients with workforce reinvention, AI-enabled operating models, role redesign, skills for the machine age, and driving change at enterprise scale. Visit us here to find out more about Talent and Organization.</p></div><br>
<p></p><div><p><b>You are:</b></p>
</div><div><p>A workforce reinvention leader who balances thinking and doing while originating opportunities with clients across Accenture&rsquo;s offerings while connecting outcomes and value creation overall. You know that the world is changing and that companies need to change too &ndash; connecting business and talent strategies at a global scale. You seek to understand client workforces and help them reinvent how work gets done&mdash;moving from analysis to action, from insight to implementation. You leverage AI and analytics to craft talent strategies and new skilling approaches that fit a client&rsquo;s unique needs. In fact, your experience in the field makes you a leader that people look to for advice while your people and storytelling skills mean you have no problem helping clients understand their choices.</p></div><br>
<p></p><div><p>As a Senior Manager, you have demonstrated experience at owning C-suite relationships and leading our best teams to solve complex workforce reinvention challenges&mdash;and you lead change, vision, ideation, and the operationalization of reinvention - not just identify it.</p>
</div><p></p><div><p><b>The work:</b></p>
</div><div><ul><li><p>Lead and drive client engagements using analytics to drive insights and design end-to-end Workforce Reinvention programs for Digital, Cloud, Enterprise Wide, Business Unit, and Support Functions</p></li></ul>
</div><div><ul><li><p>Lead engagements to design data collection and assessment approaches to identify AI and automation impact on roles, task-level opportunities for Human+Machine collaboration, and transformation pathways for organizations and individuals</p></li></ul>
</div><div><ul><li><p>Lead cross functional teams and alliance partners through experience led approaches to understand clients&rsquo; business goals, future workforce aspirations, and digital disruptors to co-create Workforce Reinvention Roadmaps</p></li></ul>
</div><div><ul><li><p>Work with c-suite clients to craft workforce reinvention strategies that highlight future role and work implications for the enterprise, business function and workforce</p></li></ul>
</div><div><ul><li><p>Work with c-suite leaders to co-create AI-enabled operating models where humans focus on judgment, creativity, and exceptions while machines handle routine processing and pattern recognition</p></li></ul>
</div><div><ul><li><p>Lead strategic relationships with Ecosystem Alliance Partners using Gen AI, agentic AI, and automation technologies to design solutions that reshape how work gets done across human and machine workers</p></li></ul>
</div><div><ul><li><p>Create enterprise-wide reinvention conversations that connect workforce transformation to business strategy and value creation</p></li></ul>
</div><div><ul><li><p>Work with c-suite clients to design change programs that move organizations from analysis to action&mdash;helping leaders adopt new ways of working and manage blended human-machine teams</p></li></ul>
</div><div><ul><li><p>Partner with Alliance &amp; Ecosystem Partners including, but not limited to those providing Gen AI, agentic AI, and automation technologies to accelerate workforce reinvention and solution design</p></li></ul>
</div><div><ul><li><p>Lead authentically and with a people-first mindset that fosters inclusivity and celebrates diversity. Mentor junior members of the team, providing them with experiences to continually learn and grow</p></li></ul>
</div><div><ul><li><p>Lead and drive business development efforts, including Statements of Work (SOW), proposal development, client presentations, and opportunity origination.
</p></li></ul></div><div><ul><li><p>Lead and contribute to practice development initiatives including culture building, internal community involvement, capability development, recruiting, and whitepapers</p></li></ul></div><br>
</div>
<p></p><div><p><b>Travel:</b><br>
This role typically requires 60-80% travel to client sites, with flexibility based on project needs and client preferences.</p></div></div></div>
<br><div><div><div><p><b>Here&rsquo;s what you need:</b></p>
</div><div><ul><li><p>Minimum of 4 years of experience in four or more of the following areas:
</p></li></ul></div><div><ul><li><p>Human Capital Strategy</p></li></ul>
</div><div><ul><li><p>Talent &amp; Workforce Analytics</p></li></ul>
</div><div><ul><li><p>Strategic Workforce Planning</p></li></ul>
</div><div><ul><li><p>Future Workforce
</p></li></ul></div><div><ul><li><p>Talent Management Lifecycle</p></li></ul>
</div><div><ul><li><p>AI-Enabled Workforce Reinvention
</p></li></ul></div><div><ul><li><p>Workforce Reinvention</p></li></ul>
</div><div><ul><li><p>Digital and Cloud Workforce Transformation</p></li></ul>
</div><div><ul><li><p>Functional Workforce Transformations (i.e.; IT, Supply Chain, Sales &amp; Marketing)</p></li></ul>
</div><div><ul><li><p>Architecting Value</p></li></ul>
</div><div><ul><li><p>Minimum of 6 years of consulting experience or equivalent</p></li></ul>
</div><div><ul><li><p>Minimum of 2 years of experience in banking or capital markets</p></li></ul>
</div><div><ul><li><p>Minimum of 2 years of experience developing talent strategies and transformational programs</p></li></ul>
</div><div><ul><li><p>Minimum of 2 years of experience working in cross functional teams composed of Strategy, Consulting, Technology and Operations practices in shaping and delivering Reinvention opportunities with clients</p></li></ul>
</div><div><ul><li><p>Minimum of 2 years of experience with AI and automation technologies (Gen AI, agentic AI, RPA, intelligent automation) and their application to workforce reinvention</p></li></ul>
<ul><li><p>Bachelor's degree</p></li></ul>
</div></div><p></p><div><div><p><b>Bonus points if:</b></p>
</div><div><ul><li><p>Experience in other related areas such as Design Thinking, Human Centered Design, Employee Experience, Transformational Change Management, Culture Change, and/or Agile Organization Development
</p></li></ul></div><div><ul><li><p>MBA or graduate-level degree in Business or related talent/workforce related field</p></li></ul>
</div><div><ul><li><p>Track record leading enterprise-scale &amp; adoption programs or Human+Machine workforce changes design with measurable business outcomes</p></li></ul>
</div><div><ul><li><p>Proficiency with Microsoft Office applications (Outlook, Word, Excel, PowerPoint, Visio)</p></li></ul>
</div><div><ul><li><p>Proficiency with data visualization applications (Tableau, PowerBI)</p></li></ul>
</div><div><ul><li><p>Proficiency with AI enabling interfaces and platforms (OpenAI, Anthropic, Gemini)</p></li></ul>
</div><div><ul><li><p>Proficiency with prompt engineering and context engineering to build AI outcomes into workflows, coach others on improving their engagement with AI, and manage ethical and meaningful AI enabled outcomes
</p></li></ul></div><div><ul><li><p>Experience using data management applications and/or languages (Altryx, Python, r)</p></li></ul>
</div><div><ul><li><p>Strong organizational and analytical skills</p></li></ul>
<p></p><p>Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.<br>
We anticipate this job posting will be posted on 03/07/2026 and open for at least 3 days.</p>
<p>Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:</p>
<p>U.S. Employee Benefits | Accenture</p>
<p>Role Location Annual Salary Range</p>
<p>California $87,400 to $253,000</p>
<p>Cleveland $87,400 to $253,000</p>
<p>Colorado $87,400 to $253,000</p>
<p>District of Columbia $87,400 to $253,000</p>
<p>Illinois $87,400 to $253,000</p>
<p>Maryland $87,400 to $253,000</p>
<p>Massachusetts $87,400 to $253,000</p>
<p>Minnesota $87,400 to $253,000</p>
<p>New York $87,400 to $253,000</p>
<p>New Jersey $87,400 to $253,000</p>
<p>Washington $87,400 to $253,000</p></div></div></div><p></p>
<br><div><p>Chicago, IL</p><p>
Arlington, VA</p><p>
Atlanta, GA</p><p>
Austin, TX</p><p>
Boston, MA</p><p>
Charlotte, NC</p><p>
Cleveland, OH</p><p>
Columbus, OH</p><p>
Culver City, CA</p><p>
Denver, CO</p><p>
Detroit, MI</p><p>
Houston, TX</p><p>
Minneapolis, MN</p><p>
Mountain View, CA</p><p>
New York City, NY</p><p>
Philadelphia, PA</p><p>
San Francisco, CA</p><p>
Seattle, WA</p><p>
St. Petersburg, FL</p></div>
<br><div><p><b>Requesting an Accommodation</b></p>
<p>
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.</p>
<p>
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.</p><br>
<p></p>
<p><b>
Equal Employment Opportunity Statement</b></p>
<p>
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.</p><br>
<p></p>
<p>
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.</p>
<p>
Accenture is committed to providing veteran employment opportunities to our service men and women.</p><br>
<p></p>
<p><b>
Other Employment Statements</b></p>
<p>
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.</p>
<p>
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.</p>
<p>
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.<br>
<br>
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.</p>
<p>
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please for additional important information.</p>
<p>
Please read Accenture&rsquo;s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.</p></div>
<br><div><p>We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.</p>
<p>
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.</p>
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At Accenture, we see well-being holistically, supporting our people&rsquo;s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We&rsquo;re proud to be consistently recognized as one of the World&rsquo;s Best Workplaces&trade;.</p>
<p>
Join Accenture to work at the heart of change. Visit us at www.accenture.com.</p></div>

Talent Strategy Manager/Senior Manager - Banking/Capital Markets

Alzheimer's Association

<div></div><div><div><div><div><div><div><div><div>Operations</div>
</div><div><div>Position Type</div>
<div>Full Time</div>
</div><div><div>Location</div>
<div>Chicago, IL, United States
</div></div><div><div>Job ID</div>
<div>MANAG002975</div></div></div><div></div><div><div><div><div><ul><br>
<li>
</li></ul></div></div><div><div>
</div></div></div></div></div></div></div></div><div><div><div>Chicago, Illinois, United States</div>
<div><div><p>The Manager of AI Literacy &amp; Adoption is a hands-on educator and change leader responsible for accelerating the Association&rsquo;s mission through the strategic adoption of artificial intelligence. Reporting to the Sr. Director of AI + Digital Transformation, this role serves as the lead architect for organizational AI fluency&mdash;ensuring our workforce is equipped with the right tools, the confidence to use them, and a clear line of sight between AI-driven efficiency and mission impact.</p><p>
You will be a bridge-builder between our AI strategy, our technology infrastructure, and our mission-driven staff. Your job is to make AI approachable, demonstrate its value, and ensure that every hour of efficiency gained is an hour returned to care, support, and the search for a cure.</p><p><b>
ESSENTIAL RESPONSIBILITIES</b></p><ul><li><b>
AI Literacy Strategy &amp; Curriculum Design: </b>Design and implement a multi-tiered, role-specific learning program that builds AI competence across the entire Association. Develop self-paced digital learning paths, live virtual workshops, and peer coaching sessions that cultivate a &ldquo;try-first&rdquo; culture of experimentation.</li><li><b>
Behavioral Adoption &amp; Change Management: </b>Apply behavioral science principles to address resistance, build psychological safety, and accelerate technology adoption. Develop intervention strategies and choice architecture that move staff from awareness to confident, habitual use of AI tools.</li><li><b>
AI Enablement &amp; Technical Coaching: </b>Serve as an internal subject matter expert on enterprise AI platforms and emerging agentic workflows. Help teams move beyond basic prompting to deploy sophisticated, reusable AI-powered practices that streamline complex administrative and mission-related tasks.</li><li><b>
Executive Communication &amp; Advocacy: </b>Partner with AI Steering Committee to build internal momentum for AI adoption. Draft leader toolkits, talking points, and impact reports that translate technical ROI into human-centric success stories for both internal and external stakeholders.</li><li><b>
Cross-Functional Integration: </b>Collaborate with field offices, development teams, IT, HR (specifically L&amp;D) information security to identify where AI can amplify grassroots organizing, fundraising, research support, and operational efficiency. Turn localized wins into scalable national best practices.</li><li><b>
AI Champion Network: </b>Identify, train, and mentor a network of AI Champions across departments. Facilitate a Community of Practice where power users share workflows, troubleshoot issues, and drive peer-to-peer learning at scale.</li><li><b>
Measurement &amp; Value Realization: </b>Define and track key metrics related to AI literacy, adoption sentiment, and tool utilization. Deliver data-driven insights to leadership on the health and trajectory of AI adoption across the organization.</li></ul><p><b>
REQUIRED QUALIFICATIONS</b></p><ul><li>
Bachelor&rsquo;s degree in Behavioral Science, Psychology, Communications, Education, Organizational Development, or a related field</li><li>
3&ndash;5 years of experience in organizational change management, digital transformation, or professional development within a large, matrixed organization</li><li>
Demonstrated hands-on experience with enterprise AI platforms (e.g., Claude, ChatGPT Enterprise, Microsoft Copilot, or similar)</li><li>
Exceptional written and verbal communication skills with the ability to translate complex technical concepts into accessible, mission-aligned language</li><li>
Deep understanding of human-technology interaction and behavioral change principles</li></ul><p><b>
PREFERRED QUALIFICATIONS</b></p><ul><li>
Master&rsquo;s degree or PhD in Organizational Psychology, Instructional Design, Learning Science, or a related field</li><li>
Proven ability in advanced prompt engineering with an understanding of agentic AI workflows and their practical application</li><li>
Prior experience in the nonprofit sector, particularly in grassroots movements, fundraising operations, or large-scale volunteer mobilization</li><li>
Experience building Communities of Practice or peer learning networks</li><li>
Familiarity with learning management systems and digital education platforms</li><li>
Certification in change management methodologies (e.g., Prosci ADKAR, Kotter)</li><li>
Experience partnering with IT and information security teams on enterprise technology rollouts</li></ul><p><b>
KNOWLEDGE, SKILLS &amp; ABILITIES</b></p><ul><li>
Storytelling &amp; Influence: Ability to make complex technology feel accessible and inspiring to audiences at every level of the organization</li><li>
Behavioral Insight: Understanding of how people respond to workplace technology change, including strategies for building trust and reducing friction</li><li>
Technical Fluency: Comfort navigating enterprise AI platforms, evaluating new tools, and translating technical capabilities into business use cases</li><li>
Facilitation: Skilled at leading workshops, coaching sessions, and group learning experiences for diverse audiences, both virtual and in-person</li></ul><p><b>
PHYSICAL &amp; PRACTICAL REQUIREMENTS</b></p><ul><li>
Ability to work at a computer for extended periods</li><li>
Occasional evening or weekend availability for training sessions across time zones</li><li>
Travel up to 15% for national summits, regional training events, or site visits</li><li>
Ability to facilitate virtual and in-person workshops for groups of 20&ndash;100+ participants</li></ul><p></p><p><br>
Location: Chicago, IL (US Remote Available)</p><p>
Work Schedule: Full-Time (37.5 hours per week)</p><p>
Reports To: Sr. Director, AI + Digital Transformation</p><p>
Position Grade &amp; Compensation: Grade 509 The Alzheimer's Association&rsquo;s good faith expectation for the salary range for this role is between $90,000-$120,000</p><p></p><p><br>
Who We Are:</p><p></p><p><br>
The Alzheimer&rsquo;s Association is the leading voluntary health organization in Alzheimer&rsquo;s care, support and research. Our mission is to lead the way to end Alzheimer's and all other dementia&ndash; by accelerating global research, driving risk reduction and early detection, and maximizing quality care and support.</p><p>
The Alzheimer&rsquo;s Association announced a landmark $100 million investment in research for 2023. This unparalleled commitment is illustrative of the momentum we are building in dementia research &mdash; our investments today will lead to breakthroughs tomorrow.</p><p>
At the Alzheimer&rsquo;s Association, our employees are at the core of all we do. Our network of more than 1,900 employees across the United States makes a difference each and every day for those impacted by Alzheimer&rsquo;s and those at risk for the disease.</p><p>
We warmly invite qualified applicants to consider this opportunity to make a life-changing impact on the millions living with Alzheimer&rsquo;s, their caregivers and those that may develop the disease in the future. Read on to learn more about the role, then visit our website www.alz.org/jobs to explore who we are and why we've been recognized as a Best Place to Work for the last twelve years in a row.</p><p>
At the Alzheimer's Association&reg;, we believe that diverse perspectives are critical to achieving health equity &mdash; meaning that all communities have a fair and just opportunity for early diagnosis and access to risk reduction and quality care. The Association is committed to engaging underrepresented and underserved communities and responding with resources and education to address the disproportionate impact of Alzheimer&rsquo;s and dementia.</p><p>
 The Alzheimer&rsquo;s Association commitment remains steadfast in engaging all communities in our full mission. The Association provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment to the fullest extent required by law, including, but not limited to, on the basis of race, color, religion, age, sex, national origin, gender identity, disability status, genetics, protected veteran status, sexual orientation, or any other legally protected characteristic.</p><p>
Employees working 24 hours/week or more are eligible for a comprehensive benefits package, including medical, dental, vision, flex accounts, short and long-term disability, life insurance, long term care insurance, tuition reimbursement, generous Paid Time Off, 12 annual holidays and Paid Family Leave, as well as an annual Cultural &amp; Heritage Day and Volunteer Day of their choosing. They are also eligible for our gold standard 401(k) retirement plan.</p><p>
Full time employees (37.5 hours/week), will enjoy all of the above plus an annual School Visitation Day and an Elder Care Facility Day of their choosing.</p></div></div></div></div></div><p></p>

Manager, AI Literacy and Adoption

zesty.ai

<div><h1 class="jobSectionHeader"><b>Controller</b></h1>
<p><b>
Location:</b> Remote (US)<br>
<b>Reports to:</b> Chief Financial Officer</p>
<h2 class="jobSectionHeader"><b>
About ZestyAI</b></h2>
<p>
ZestyAI is the leading property and climate risk analytics platform for the P&amp;C insurance industry. Our AI-powered models provide property-level insights into the risks that drive the majority of losses, including wildfire, hail, and water damage. Using proprietary data from aerial imagery, property characteristics, permits, and environmental signals, we help insurers price accurately, underwrite smarter, and reduce losses &ndash; creating a stronger and more resilient insurance market. As climate events grow more frequent and complex, legacy models can no longer keep pace. ZestyAI replaces outdated assumptions with dynamic, property-specific intelligence. Our next wave of innovation leverages agentic and generative AI to accelerate decision-making across the insurance value chain.</p>
<h2 class="jobSectionHeader"><b>
The Opportunity</b></h2>
<p>
We are hiring a Controller to build and lead a modern, automation-first accounting function at a rapidly growing AI company.</p>
<p>
This is a rare opportunity to design the financial control environment of an AI-native platform company from the ground up.</p>
<p>
We are intentionally building a <b>flat, highly capable finance team</b> where senior leaders operate as high-impact individual contributors and leverage automation, outsourced partners, and AI agents to maximize efficiency. You will work directly with the CFO to:</p>
<ul>
<li>Professionalize accounting policies and monthly close process</li>
<li>Design scalable accounting processes and infrastructure</li>
<li>Implement scale-appropriate financial controls</li>
<li>Drive automation across close, reporting, and compliance</li>
<li>Build a finance function that scales to $100M+ without unnecessary headcount</li>
</ul>
<p>If you are a technically strong Controller who is curious, self-directed, and already experimenting with AI in your current finance workflows, this role puts you at the forefront of how AI reshapes accounting. You will not be constrained by legacy systems or bureaucracy. You will be empowered to build.</p>
<h1 class="jobSectionHeader"><b>
What You'll Do</b></h1>
<h2 class="jobSectionHeader"><b>Own the Accounting Function</b></h2>
<ul><li>Lead the monthly, quarterly, and annual multi-entity close process; produce accurate consolidated GAAP financial statements (P&amp;L, Balance Sheet, Cash Flow)</li>
<li>Managing outsourced bookkeeping</li>
<li>Develop accounting policies, SOPs, and internal controls</li>
<li>Manage/oversee AP, AR, payroll accounting, reconciliations</li>
<li>Maintain reconciliations, schedules, and documentation at audit-ready standards</li>
</ul><h2 class="jobSectionHeader"><b>Revenue &amp; Contract Accounting</b></h2>
<ul><li>Own revenue recognition policy and execution (including complex data licensing and multi-element contracts)</li>
<li>Partner with Go-To-Market and Legal to ensure contract structures align with accounting treatment</li>
<li>Maintain deferred revenue schedules and ensure billing, collections, and reporting are clean and reconciled</li>
</ul><h2 class="jobSectionHeader"><b>Controls, Risk &amp; Audit</b></h2>
<ul><li>Design and implement scalable internal controls</li>
<li>Prepare the company for financial audits and future diligence</li>
<li>Partner cross-functionally to ensure control maturity aligns with growth</li>
<li>Build documentation and workflows that support compliance and enterprise customer requirements</li>
</ul><h2 class="jobSectionHeader"><b>Automation &amp; AI-Driven Finance</b></h2>
<ul><li>Lead the accounting systems roadmap (ERP, close tools, bill pay, spend management)</li>
<li>Leverage automation to reduce manual journal entries and reconciliation work</li>
<li>Identify and implement AI agents or workflows to assist with:</li>
<li><ul><li>Reconciliations</li>
<li>Contract review</li>
<li>Close checklists</li>
<li>Policy drafting</li>
<li>Variance analysis</li>
</ul></li><li>Establish an &quot;automation-first&quot; mindset across the finance function</li>
</ul>
<p>You will have wide latitude to test, implement, and scale AI tooling inside finance.</p>
<h2 class="jobSectionHeader"><b>
Vendor &amp; Outsourced Partner Oversight</b></h2>
<ul><li>Manage outsourced bookkeeping, tax, payroll, and other accounting support</li>
<li>Establish clear service standards and quality expectations</li>
<li>Ensure outsourced workflows integrate seamlessly with internal systems</li>
</ul><h2 class="jobSectionHeader"><b>Cash &amp; Financial Discipline</b></h2>
<ul><li>Oversee AP/AR workflows and improve billing and collections rigor</li>
<li>Strengthen working capital management</li>
<li>Support cash forecasting accuracy through clean accounting data</li>
</ul><h1 class="jobSectionHeader"><b>What We're Looking For</b></h1>
<ul><li>7+ years of progressive accounting experience</li>
<li>Strong US GAAP foundation including CPA and audit experience (either auditor-side or company-side)</li>
<li>Experience in high growth recurring revenue software startup</li>
<li>Experience managing revenue with enterprise contracts</li>
<li>Familiarity with enterprise sales commission plans</li>
<li>Proven experience operating in a lean or growth-stage environment</li>
<li>Experience managing audits and building documentation discipline</li>
<li>Demonstrated ability to improve processes and implement systems</li>
</ul><h2 class="jobSectionHeader"><b>Bonus Points For</b></h2>
<ul><li>Experience in Insurtech, fintech, data platforms, or AI-driven companies</li>
<li>ERP implementation experience</li>
<li>Hands-on experimentation with AI tools in accounting workflows</li>
<li>Clear examples of automation initiatives you have personally driven</li>
</ul><h1 class="jobSectionHeader"><b>Who You Are</b></h1>
<ul><li>Curious and self-directed</li>
<li>Comfortable building in ambiguity</li>
<li>Energized by improving systems rather than maintaining legacy processes</li>
<li>Highly accountable and detail-oriented</li>
<li>Excited by AI's role in reshaping finance operations</li>
<li>Motivated by impact and ownership, not title hierarchy</li>
</ul>
<p>You've likely already found ways to use AI in reconciliations, policy writing, close management, or analysis &mdash; and you're eager to go further.</p>
<h1 class="jobSectionHeader"><b>
Why Join ZestyAI</b></h1>
<ul><li>Join a recognized AI and Insurtech leader reshaping risk analytics</li>
<li>Work directly with executive leadership in a high-impact role</li>
<li>Build a modern accounting function designed for scale</li>
<li>Operate in a flat team with significant ownership</li>
<li>Be at the forefront of AI adoption in finance operations</li>
</ul>
<p>This is a career-defining opportunity for a Controller who wants to build &mdash; not just maintain.</p></div><p></p>

Controller (Remote)

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