Blue Cross Blue Shield Association Logo

Blue Cross Blue Shield Association

Product Strategy Lead (AI & Agentic Products)

Posted 18 Days Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in DC, USA
130K-178K Annually
Expert/Leader
In-Office or Remote
Hiring Remotely in DC, USA
130K-178K Annually
Expert/Leader
Lead product strategy and roadmap for healthcare analytics and AI/agentic products. Own end-to-end product lifecycle, translate market and customer needs into actionable features, ensure compliance (HIPAA, SOC 2), mentor product teams, and partner with engineering, data science, and commercial teams to deliver scalable, AI-enabled solutions for payers, providers, and healthcare stakeholders.
The summary above was generated by AI
Job Description Summary
We are seeking a Product Strategy Lead to define and drive the vision, roadmap, and delivery of the organization's advanced healthcare data and analytics solutions. This role will serve as a thought leader in healthcare analytics, translating market needs into innovative, sustainable products that deliver measurable value for payers, providers, and other healthcare stakeholders. The Product Strategy Lead will oversee the end-to-end product lifecycle, mentor team members, and partner with internal and external stakeholders to ensure the product portfolio remains at the forefront of healthcare data innovation.
This role will also help advance AI-enabled and agentic product capabilities, translating complex data and analytics needs into intuitive, reliable, and scalable product experiences. The ideal candidate brings experience with AI, machine learning, or data-driven product environments and can partner effectively across product, engineering, data science, compliance, and business stakeholders to support responsible adoption, customer value, and Plan-facing readiness.

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:

129,600.00 - 178,200.00

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.

#LI_HYBRID

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 postingWe 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. 

 

Similar Jobs

2 Hours Ago
Remote
United States
150K-200K Annually
Senior level
150K-200K Annually
Senior level
Artificial Intelligence • HR Tech • Business Intelligence
Own end-to-end voice platform migration and scaling: LiveKit migration, real-time turn-taking, VAD, SIP/WebRTC, multi-agent handoff, training/fine-tuning voice models, inference cost optimization, and retrieval-based grounding using Supabase/pgvector.
Top Skills: AnthropicCartesiaDeepgramElevenlabsGoogle LlmsLivekitN8NNext.JsOpenaiPgvectorPipecatPostgresPythonRetellRlsSipSttSupabaseTtsTwilioTypescriptVadVapiWebrtc
7 Hours Ago
Remote
USA
100-125 Hourly
Mid level
100-125 Hourly
Mid level
Consumer Web • Healthtech • Professional Services • Social Impact • Software
Review therapists' clinical documentation and decision-making against Headway's clinical quality standards, identify gaps, perform calibration and reliability exercises, and (when assigned) provide asynchronous or live remediation and coaching. Complete reviews within Headway systems, adhere to HIPAA/confidentiality, and provide structured feedback to improve rubrics and AI-assisted review tools.
Top Skills: Ai-Assisted Review ToolsHeadway SystemsHealthcare Technology Platforms
7 Hours Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
106K-160K Annually
Senior level
106K-160K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead design and delivery of enterprise-grade integrations between Samsara and customer systems. Own architecture, implementation, mentorship, cross-functional coordination, troubleshooting, automation, and customer-facing technical enablement for complex B2B integrations.
Top Skills: AWSAzureCodexConfluenceCursorGCPGitGleanJIRAKafkaMcpsNoSQLPower BIPubsubPythonRest ApisSQLTableauWebhooks

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account