Manager Advanced Analytics – AI Platforms And Services – Data Science/gen AI Manager

Data Science Manager

We are seeking a visionary and experienced Data Science Manager to lead our team of innovative data scientists within the AI Platforms and Services team. Reporting directly to the Director of AI Platforms and Services, this pivotal role focuses on research and development, guiding a team dedicated to exploring the cutting edge of Generative AI to solve complex business problems and pioneer new solutions in the healthcare technology space.

In your role, research involves identifying innovative ways to apply generative AI to solving complex business challenges, ensuring its transformative potential is realized across diverse domains. The team is dedicated to developing foundational frameworks such as Gen AI app/AI agent design standards, rigorous evaluation methods, and Responsible AI (RAI) principles, which underpin multiple applications and use cases developed on our platforms. Additionally, you will guide a group of data scientists tasked with exploring generative AI use cases and creating proofs of concept (POCs) that pave the way for impactful deployments.

As the leader of our data science R&D efforts, you will lead, manage, and mentor a team of 5 to 6 talented professionals with varying experiences, fostering their professional growth and creating an environment of collaboration, and high performance. You will define and execute the R&D roadmap for Generative AI foundations, aligning research initiatives with strategic business objectives and emerging technological trends. By cultivating a culture of relentless curiosity and experimentation, you will guide the team in exploring novel gen AI techniques, architectures, and tools such as cloud platforms (AWS, Azure, GCP), programming languages (Python, R), and machine learning platforms (e.g., SageMaker, Vertex AI).

Your role involves overseeing the end-to-end process of building and testing AI prototypes, from initial data exploration and hypothesis testing to developing functional Gen AI modules that demonstrate feasibility and business value. While the team does not build predictive models, they focus on leveraging cutting-edge generative AI methods and tools to address complex use cases and deliver innovative solutions.

You will act as the team's subject matter expert on the latest AI research, actively tracking advancements in areas like LLMs, RAG, fine-tuning, and agentic AI, and championing their application within the enterprise. In this role, you will partner closely with Software Engineering, Infrastructure, Product Management, and Design teams to ensure a seamless transition from research to production for promising innovations. Additionally, your ability to translate complex data science/Gen AI concepts and research findings into clear, compelling narratives and strategic recommendations for both technical and non-technical stakeholders, including executive leadership, will be paramount to your success.

This is a unique opportunity to lead a brilliant team at the forefront of AI innovation, directly shaping the future of our organization’s digital transformation. By driving the creation of market-differentiating AI capabilities with significant impact, you will champion a research-first mindset, uncover new opportunities in collaboration with key business stakeholders, and ensure efficient AI delivery through prototyping and innovation.

The AI Platforms and Services team is revolutionizing how our organization leverages AI. We value a collaborative, innovative, and results-oriented environment, encourage continuous learning, providing opportunities for professional development, open communication, collaboration, and a commitment to excellence on our agile team! We build and maintain the foundational infrastructure and reusable components that empower teams to rapidly develop and deploy AI-powered solutions at scale, impacting everything from streamlined operations to innovative new products.

As the R&D leader on this team, you will be instrumental in driving our business strategy through AI, accelerating time-to-market, and minimizing risk across the enterprise.

Essential Responsibilities

• Perform management responsibilities to include, but are not limited to: involved in hiring and termination decisions, coaching and development, rewards and recognition, performance management and staff productivity.
• Plan, organize, staff, direct and control the day-to-day operations of the department; develop and implement policies and programs as necessary; may have budgetary responsibility and authority.
• Create and communicate the product/capability vision, strategy and roadmap across multiple products or capabilities. Own the product/capability backlog and uses multi-stakeholder input to refresh and re-prioritize the backlog to drive business value.
• Clearly articulates backlog items and acceptance criteria to the team, and represent the capability in all governance meetings. Proactively identify new initiatives/themes and builds out backlog items under these new initiatives or themes based upon value.
• Work directly with the business to understand their questions, business processes, programs and/or initiatives, then oversee the identification and delivery of analytical solutions which support them to deliver value in production.
• Consult with the business to contextualize and translate the results of our analysis in a form which the business can understand and act upon. This will be include written reports, presentation and data visualizations, and draws clear lines between the high-level problem specifications, the analyses performed, and how the results link directly back to business objectives.
• Network in the wider organization to find new stakeholders and broaden the impact of the advanced analytic products/ capabilities.
• Research self-directed new analytical skills and approaches, building relationships internally and externally to transfer knowledge and maintain their position as subject matter experts.
• Consult with fellow data scientists and analysts to guide analysis and deliver larger projects.
• Other duties as assigned or requested.

Education

• Required: Master's Degree in STEM (Science, Technology, Engineering, Mathematics) OR Bachelor's Degree + 3 years of relevant work experience in lieu of a Master's Degree
• Preferred: Doctorate degree in STEM (Science, Technology, Engineering, Mathematics)

Experience

• Required: 7 years of Data Analytics, Academic Research, and/or Work Experience To Include 1 year of Using Large Data-sets 1 year in Predictive Modeling or Advanced Statistics 1 year presenting complex analytics to non-technical audiences
• Preferred: Proven experience leading and mentoring data science or AI engineering teams, fostering a culture of innovation, collaboration, and continuous learning. Experience in building and managing high-performing teams in a research-focused environment. Deep understanding of generative AI tools, architecture, and frameworks such as cloud platforms (AWS, Azure, GCP), programming languages (Python, R), and machine learning platforms (e.g., SageMaker, Vertex AI). Excellent verbal written and oral presentation skills. Demonstrated track record of communicating and collaborating with cross-functional teams and stakeholders, including executive leadership. Proven collaboration skills in coordinating with technical teams, software development teams, data experts and engineers. Proven ability to translate complex technical information to business stakeholders. Exceptional problem-solving and critical-thinking skills, and ability to work effectively both independently and as part of a team.

Skills

• Analytics
• Agile
• Stakeholder Management
• Presentation
• Communication
• People Management
• Project Management

Language (Other than English) None

Travel Required

• 0% - 25%

Physical, Mental Demands and Working Conditions

• Position Type: Office-Based
• Teaches / trains others regularly
• Frequently Travel regularly from the office to various work sites or from site-to-site
• Never Works primarily out-of-the office selling products/services (sales employees)
• Never Physical work site required
• No Lifting: up to 10 pounds Frequently
• Lifting: 10 to 25 pounds Occasionally
• Lifting: 25 to 50 pounds Rarely

Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job.

Compliance Requirement: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies.

As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy.

Furthermore, it is every employee's responsibility