Product Strategy Lead (AI & Agentic Products)

Job Description ​

• Define and implement the product strategy and roadmap for healthcare analytics portfolio. 

• Align product development with market trends, customer needs, and strategic priorities. 

• Influence enterprise product vision by contributing insights on competitive positioning, emerging opportunities, and customer pain points. 

• Own the full product lifecycle: requirements definition, design, development, testing, launch, and post-launch optimization. 

• Translate business and market needs into actionable product features and analytics solutions. 

• Ensure product solutions are differentiated, value-driven, and aligned with customer outcomes. 

• Apply deep healthcare data expertise (claims, payer/provider analytics, value-based care) to enrich product offerings. 

• Identify innovative methodologies and advanced analytics techniques to strengthen BCBSA’s solutions. 

• Champion adoption of modern product practices (agile, data-driven roadmaps, customer co-design). 

• Partner with Finance, Sales, and Marketing on pricing, positioning, and go-to-market strategies. 

• Lead customer engagements including training, advisory sessions, ROI analysis, and industry forums. 

• Build strong relationships with customers, internal stakeholders, and industry thought leaders. 

• Mentor product analysts and managers, fostering professional growth and building product leadership capabilities across the team. 

• Guide cross-functional project teams including engineers, data scientists, designers, and architects. 

• Ensure adherence to SOC 2, HIPAA, and other compliance standards across product solutions. 

• Promote responsible handling of sensitive healthcare data. 

The posting range for this position is:

Education

• Bachelor’s degree in public health, Life Sciences, Computer Science, or related field
• Master’s preferred

Experience

• 10+ years of experience in product management, with proven success owning roadmaps and delivering healthcare data products. 
• Extensive hands-on experience with payer, provider, and pharmacy analytics, including claims data. 
• Experience leading or supporting AI, machine learning, advanced analytics, data platform, or agentic product capabilities in a healthcare, payer, provider, or enterprise data environment.
• Experience partnering with engineering, data science, compliance, security, and business teams to evaluate product tradeoffs, manage risk, and support scalable deployment of data-driven or AI-enabled solutions.
• Experience working on a product through a 0-to-1 or early-growth phase.
• Preferred: Experience with AI-enabled analytics products, agentic AI platforms, natural language interfaces, or products that enable non-technical users to access, interpret, or act on complex data.

Knowledge, Skills and Abilities

• Strong knowledge of population health management, value-based care programs, and healthcare ecosystem trends. 
• Demonstrated ability to translate complex analytics, data science, or AI-enabled capabilities into clear product requirements, user workflows, adoption strategies, and measurable customer outcomes.
• Track record of developing innovative, data-driven solutions that drive measurable customer and business outcomes. 
• Proven ability to influence executives, customers, and cross-functional teams. 
• Excellent communication and presentation skills, with experience representing products in customer and industry settings. 
• Familiarity with compliance frameworks (SOC 2, HIPAA) and secure product practices. 
• Working knowledge of modern AI concepts, including generative AI, large language models, agents, retrieval, prompting, and responsible AI practices, with the ability to apply these concepts to product strategy and decision-making.
• Ability to assess AI-enabled product opportunities through the lens of customer value, usability, reliability, data quality, security, compliance, and measurable business impact.
• Strong ability to translate between technical teams, business leaders, product teams, and end users to ensure AI-enabled solutions are understandable, usable, and aligned to customer outcomes.
• Familiarity with enterprise data ecosystems, analytics platforms, and cloud-based data environments such as AWS, Snowflake, Databricks, or similar platforms.
• Ability to promote responsible handling of sensitive healthcare data, including awareness of AI-specific risks, data sensitivity considerations, transparency, and appropriate human review.

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The posted salary range is the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting.  We may ultimately pay more or less than the hiring range and this hiring range may also be modified in the future. A candidate’s position within the hiring range may be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, shift, travel requirements, and business or organizational needs. This job is also eligible for annual bonus incentive pay. 

We offer a comprehensive package of benefits including paid time off, 11 holidays, medical/dental/vision insurance, generous 401(k) matching, lifestyle spending account and many other benefits to eligible employees. 

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.