Senior Manager - Digital Product

CVS Health•Work At Home-Texas, MA

2d•$106,605 - $260,590

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Partner with Product Owners, product leaders, and cross-functional stakeholders from ideation through execution to shape analytics product vision, validate opportunities, and define scalable solution approaches. Develop functional requirements, acceptance criteria, and detailed product specifications to communicate feature requirements to data science, engineering and stakeholder teams Support engineering and data science teams to implement features by clarifying requirements, facilitating squad ceremonies, and helping technical team members ground on users and business needs Manage product backlog, facilitate problem solving, scoping, and prioritization Run day-to-day planning and ceremonies, and champion Agile practices Clarify and coordinate dependencies with other teams and stakeholders Champion a data-driven, and innovation-focused mindset with a strong commitment to product excellence and continuous improvement. Stay current on emerging trends in analytics, data platforms, AI/ML, and digital technologies, and identify opportunities to apply them across lines of business. Demonstrate strong executive communication, stakeholder management, and client-facing skills to influence decisions, build alignment, and drive adoption. Evaluate and introduce new tools, frameworks, and methodologies that improve analytics product delivery, insight generation, and innovation across teams.

Requirements

7+ years’ experience in Product Management or Technical Product Management role
5+ years’ experience running the day-to-day product execution with Data Science and/or Engineering teams on the ground
3+ years’ experience working with SMEs to uncover nuances in ambiguous business problems, operational processes
3+ years’ experience with stakeholder management
3+ years’ demonstrated ability to drive outcomes in complex environment
2+ years’ experience building capabilities that leverage AI, ML or other advanced analytics

Nice To Haves

Strong verbal and written communication skills
Self-starter interested in leveraging new AI tools and technologies to improve productivity and new ways of working
Excellence in prioritization and aligning senior stakeholders on a unified vision
Strong Excel/SQL/analytics/Storytelling capability
Proven track record of managing all aspects of a successful product throughout its lifecycle, especially in taking a product from concept through launch

Responsibilities

Partner with Product Owners, product leaders, and cross-functional stakeholders from ideation through execution to shape analytics product vision, validate opportunities, and define scalable solution approaches.
Develop functional requirements, acceptance criteria, and detailed product specifications to communicate feature requirements to data science, engineering and stakeholder teams
Support engineering and data science teams to implement features by clarifying requirements, facilitating squad ceremonies, and helping technical team members ground on users and business needs
Manage product backlog, facilitate problem solving, scoping, and prioritization
Run day-to-day planning and ceremonies, and champion Agile practices
Clarify and coordinate dependencies with other teams and stakeholders
Champion a data-driven, and innovation-focused mindset with a strong commitment to product excellence and continuous improvement.
Stay current on emerging trends in analytics, data platforms, AI/ML, and digital technologies, and identify opportunities to apply them across lines of business.
Demonstrate strong executive communication, stakeholder management, and client-facing skills to influence decisions, build alignment, and drive adoption.
Evaluate and introduce new tools, frameworks, and methodologies that improve analytics product delivery, insight generation, and innovation across teams.