Vice President Data Product Strategy

📍 Job Overview

Job Title: Vice President, Data Product Strategy
Company: Precision Medicine Group
Location: Remote, United States
Job Type: Full-Time
Category: Product Management / Data Strategy / GTM Operations
Date Posted: December 11, 2025
Experience Level: 15+ Years
Remote Status: Fully Remote

🚀 Role Summary

• Lead the strategic vision, design, and execution of innovative data-driven products within the Data Solutions (DS) Practice Area, focusing on biopharmaceutical customers.
• Drive the development and commercialization of leading data products that integrate and enrich disparate Payer, Provider, HCP, and Patient data.
• Champion the product roadmap for key DS products, including DecodeRx Payer, DecodeRx Provider, and PatientLens, by translating complex market needs into actionable product strategies.
• Foster a high-performing product and engineering team, emphasizing client service, purpose, accountability, mutual respect, and collaboration as core principles.

📝 Enhancement Note: This role is positioned at a Vice President level, indicating significant strategic influence and leadership responsibility. While not a traditional "Revenue Operations" or "Sales Operations" role, the focus on data products, market access, and commercialization within the life sciences sector aligns closely with GTM (Go-to-Market) operations and product strategy, requiring a strong understanding of how data products enable commercial success and drive revenue.

📈 Primary Responsibilities

• Strategic Leadership: Define and execute the overarching product strategy and roadmap for Data Solutions, ensuring alignment with market trends, client needs, and organizational objectives.
• Product Development & Innovation: Oversee the end-to-end product lifecycle, from conception to commercialization, leveraging deep expertise in healthcare ecosystems, payer/provider dynamics, and data mastery to drive innovation.
• Team Management & Development: Lead, coach, and mentor a high-performing Product and Engineering team responsible for DS products, fostering a culture of excellence and continuous improvement.
• Cross-Functional Collaboration: Actively partner with Data Solutions Leadership, Account Management, Business Development, and other Product Solutions Practice Areas to maximize synergies, gather customer insights, and evolve the product roadmap.
• Market & Customer Insights: Translate client feedback and market intelligence into actionable insights for product development and refinement, ensuring products meet evolving industry demands.
• Commercialization & Go-to-Market: Develop and implement pricing, promotion, and positioning strategies in partnership with leadership, and contribute to cohesive marketing campaigns that drive measurable top-of-the-funnel results and product recognition.
• Data Utilization: Champion the use of data knowledge to drive initiatives across payer, provider, and patient master data, supporting enhanced Market Access analytics and client solutions.

📝 Enhancement Note: The responsibilities emphasize a blend of strategic product vision, team leadership, and deep market understanding within the life sciences and healthcare data space. This requires not only product management acumen but also a strong grasp of commercial strategies, GTM execution, and the ability to translate complex data into tangible business value for pharmaceutical clients.

🎓 Skills & Qualifications

Education:

• Bachelor’s degree required.
• Master’s or MBA preferred, demonstrating advanced business and strategic thinking capabilities.

Experience:

• 15+ years of progressive experience in product development for data or technology service providers with a dedicated focus on the life sciences industry.
• Proven track record in managing a product roadmap and developing effective omnichannel marketing campaigns that drive measurable results.
• Deep understanding of pharmaceutical commercialization, market access strategies, and patient services frameworks.

Required Skills:

• Product Strategy & Vision: Ability to define and articulate a compelling product vision and strategy, aligning with business objectives and market opportunities.
• Data Product Expertise: Extensive experience in developing and commercializing data-driven products, with a strong understanding of healthcare data ecosystems (Payer, Provider, HCP, Patient).
• Leadership & Team Management: Demonstrated ability to lead, mentor, and develop high-performing product and engineering teams, fostering a collaborative and results-oriented environment.
• Market Access & Pharma Commercialization: In-depth knowledge of the pharmaceutical value chain, including market access, reimbursement, payer/provider dynamics, and patient journeys.
• Communication & Presentation: Exceptional written, verbal, and presentation skills, with the ability to influence stakeholders at all levels, including executive leadership.
• Cross-Functional Collaboration: Proven ability to partner effectively with sales, marketing, engineering, and customer success teams in a matrixed environment.
• Omnichannel Marketing: Experience in developing and executing integrated marketing campaigns across various channels to drive product awareness and adoption.

Preferred Skills:

• Data Analytics & Interpretation: Mastery of data knowledge and analytical techniques to inform product design and drive client solutions.
• Pricing & Positioning: Experience in developing strategic pricing, promotion, and positioning for data products.
• Client Relationship Management: Strong ability to build and maintain relationships with key clients and stakeholders.
• Agile Product Development: Familiarity with agile methodologies for product development and roadmap execution.

📝 Enhancement Note: The extensive experience requirement (15+ years) combined with a leadership title (VP) suggests this role is critical for shaping the company's data product portfolio. The emphasis on both technical product development and commercial/marketing strategy indicates a need for a well-rounded leader who can bridge the gap between data science and market impact.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Product Strategy & Roadmap Examples: Showcase instances where you defined and executed a product strategy, including the development of a comprehensive product roadmap. Highlight how market trends, client needs, and organizational goals were integrated.
• Data Product Case Studies: Provide detailed examples of data-driven products you developed or managed. Focus on the problem statement, the data leveraged, the product solution, and the business impact (e.g., improved market access, optimized payer engagement, enhanced patient outcomes).
• Commercialization & Go-to-Market Plans: Present examples of product positioning, pricing strategies, and go-to-market plans you contributed to or led, demonstrating how you translated product value into commercial success.
• Marketing Campaign Performance: Include case studies of omnichannel marketing campaigns you developed or influenced, with clear metrics demonstrating top-of-the-funnel results and product name recognition improvements.

Process Documentation:

• Product Lifecycle Management: Demonstrate understanding of established processes for managing the entire product lifecycle, from ideation and development through launch, iteration, and end-of-life.
• Market Research & Feedback Integration: Showcase processes for gathering, analyzing, and integrating market research and client feedback into product roadmaps and development cycles.
• Cross-Functional Workflow Design: Illustrate experience in designing and optimizing workflows for collaboration between product, engineering, marketing, sales, and customer success teams to ensure cohesive product delivery and market penetration.

📝 Enhancement Note: For a VP-level role, the portfolio should not just list projects but demonstrate strategic thinking, leadership in process definition, and quantifiable impact. Candidates should be prepared to discuss the "why" and "how" behind their strategic decisions and process improvements, especially concerning data products in the life sciences sector.

💵 Compensation & Benefits

Salary Range: $203,200 - $304,800 USD per year.

Benefits:

• Health Insurance: Comprehensive medical coverage.
• Retirement Savings Benefits: Programs designed to support long-term financial security.
• Life Insurance: Coverage to provide financial protection for beneficiaries.
• Disability Benefits: Support for income replacement in case of disability.
• Parental Leave: Generous policies to support new parents.
• Paid Time Off: Includes provisions for sick leave and vacation, allowing for work-life balance.
• Discretionary Annual Bonus: Performance-based incentive compensation.

Working Hours:

• Standard full-time hours are assumed, likely around 40 hours per week, with flexibility expected given the senior leadership and remote nature of the role.

📝 Enhancement Note: The provided salary range is a significant indicator of the level of responsibility and expertise expected for this Vice President position. The inclusion of a discretionary annual bonus further aligns compensation with performance and organizational success. The benefits package is comprehensive, reflecting a commitment to employee well-being and long-term engagement. Salary research for a VP of Product Strategy in the US, particularly in remote roles within the life sciences tech sector, typically falls within this range, with variations based on specific company size, profitability, and candidate experience.

🎯 Team & Company Context

🏢 Company Culture

Industry: Precision Medicine Group operates within the Life Sciences and Healthcare Technology sector, specifically focusing on data solutions for biopharmaceutical companies. This industry is characterized by rapid innovation, complex regulatory environments, and a strong emphasis on data-driven insights to improve patient outcomes and market access. Company Size: While not explicitly stated, Greenhouse job postings often cater to growth-stage companies or established enterprises. Given the VP-level role and the structure of the Data Solutions Practice Area, it suggests a moderately sized to large organization with dedicated teams for product development, engineering, and customer success. Founded: Precision Medicine Group was founded to address critical needs in precision medicine. This focus on innovation and data-driven solutions likely permeates the company's culture.

Team Structure:

• Data Solutions (DS) Practice Area: This is a core business unit focused on developing and commercializing data products.
• Product Solutions (PS) Business Unit: The DS Practice Area operates within this broader unit, indicating a structured, multi-faceted organization.
• Reporting Structure: The VP, Product Strategy reports to the SVP, Data Solutions, placing them in a key leadership position within the DS Practice Area.
• Cross-Functional Collaboration: The role explicitly requires close partnership with Data Solutions Leadership, Product/Engineering teams, Delivery, Customer Success, Account Management, and Business Development. This highlights a matrixed environment where collaboration is essential for success.

Methodology:

• Data-Centric Approach: The company's core business revolves around data products, implying a strong emphasis on data integrity, analysis, and leveraging data for strategic decision-making.
• Client-Centricity: The emphasis on client service, understanding customer needs, and translating feedback into actionable strategies is a cornerstone of their approach.
• Innovation and Product Development: The focus on developing "industry-leading data products" suggests a culture that values innovation, continuous improvement, and staying ahead of market trends.
• Agile & Iterative Practices: While not explicitly stated, the nature of product development in tech and life sciences often implies agile or iterative methodologies for roadmap execution and product refinement.

Company Website: https://www.precisionmedicinegrp.com/

📝 Enhancement Note: The company's specialization in precision medicine and data solutions suggests a culture that values scientific rigor, data-driven insights, and a commitment to improving healthcare outcomes. For an operations-minded candidate, understanding how data products support biopharma commercial strategies and market access will be crucial.

📈 Career & Growth Analysis

Operations Career Level: This is a senior leadership role, equivalent to a Vice President. It signifies a high level of responsibility for strategic direction, product portfolio management, and team leadership within the Data Solutions Practice Area. The scope extends beyond day-to-day operations to encompass long-term product vision and market positioning. Reporting Structure: The role reports directly to the SVP, Data Solutions. This close proximity to senior leadership provides opportunities for significant strategic input and visibility into the broader business unit and company objectives. Collaboration with other VPs and directors across departments is also a key aspect. Operations Impact: The impact of this role is profound, directly influencing the development and success of critical data products that enable pharmaceutical and life sciences organizations. Success in this role can lead to optimized market access, improved payer engagement, better patient outcomes, and ultimately, significant revenue generation for Precision Medicine Group and its clients. The strategic decisions made here will shape the company's competitive position in the data solutions market.

Growth Opportunities:

• Strategic Leadership Expansion: Potential to grow into broader leadership roles within the Data Solutions unit or across other practice areas, overseeing larger product portfolios or business units.
• Executive Influence: Increased influence on company-wide strategy, M&A considerations, and long-term business planning.
• Industry Thought Leadership: Opportunity to become a recognized expert and thought leader in data product strategy within the life sciences and precision medicine sectors through public speaking, publications, and industry engagement.
• Specialization Deepening: Further specialization in emerging areas of data science, AI/ML applications in healthcare, or specific therapeutic areas.

📝 Enhancement Note: This role offers a clear path for career advancement into executive leadership, with opportunities to shape company strategy and impact the healthcare industry significantly. The combination of product strategy, team leadership, and domain expertise makes it a compelling position for experienced professionals looking for a high-impact role.

🌐 Work Environment

Office Type: This is a fully remote position, offering significant flexibility and the ability to work from anywhere within the United States. This work arrangement is increasingly common for senior leadership roles, allowing access to a broader talent pool. Office Location(s): While the role is remote, Precision Medicine Group has an established presence, with headquarters likely in a major hub (further research may be needed if specific regional focus is a concern). The remote nature means employees are not tied to a specific physical office for day-to-day work.

Workspace Context:

• Flexibility and Autonomy: The remote setup provides a high degree of autonomy over the work environment and schedule, allowing individuals to optimize their personal productivity.
• Technology-Enabled Collaboration: Emphasis will be placed on utilizing digital collaboration tools (e.g., video conferencing, project management software, instant messaging) to maintain strong communication and team cohesion.
• Data-Driven Operations: The work environment will likely be highly data-driven, with performance metrics and operational efficiency being key focuses.
• Cross-Functional Interaction: Expect frequent virtual interactions with diverse teams across product, engineering, marketing, sales, and client services, fostering a dynamic and collaborative atmosphere.

Work Schedule:

• While remote, the role is full-time and will require dedication to achieving objectives. Standard business hours (aligned with US time zones) are generally expected for meetings and collaborative work, though flexibility in daily structuring is probable. Travel of up to 30% is anticipated for client engagements, industry conferences, and potential team off-sites.

📝 Enhancement Note: The fully remote nature of this role is a significant draw for candidates seeking work-life balance and geographic flexibility. However, it also necessitates strong self-discipline, proactive communication, and proficiency with remote collaboration tools to maintain effectiveness and team integration.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or HR representative will likely conduct an initial call to assess basic qualifications, cultural fit, and interest in the role.
• Hiring Manager Interview: Conversation with the SVP, Data Solutions to delve deeper into strategic experience, leadership philosophy, and alignment with the team's vision.
• Cross-Functional Interviews: Meetings with key stakeholders from Product, Engineering, Marketing, and Sales to evaluate collaboration skills and domain expertise.
• Case Study / Presentation: Candidates may be asked to prepare and present a strategic case study on a relevant topic, such as a product strategy for a new data product, a market entry plan, or a plan to address a specific market challenge.
• Executive-Level Interview: A final interview with senior leadership (potentially CEO or other C-suite executives) to assess overall strategic fit and leadership potential.

Portfolio Review Tips:

• Strategic Impact: Focus on showcasing how your product strategies and leadership have driven significant business outcomes, such as revenue growth, market share expansion, or enhanced client value.
• Data-Driven Decisions: Clearly articulate how data was used to inform product decisions, roadmap prioritization, and marketing strategies. Quantify impact wherever possible.
• Leadership in Action: Provide examples of how you have led and developed teams, fostered collaboration, and influenced stakeholders in a matrixed environment.
• Life Sciences / Healthcare Domain: Highlight your deep understanding of the pharmaceutical commercialization, market access, and healthcare ecosystem. Tailor examples to these specific areas.
• Product Innovation & Commercialization: Showcase your ability to translate complex technical concepts into marketable products and effective go-to-market plans.

Challenge Preparation:

• Product Strategy Development: Be prepared to discuss how you would approach developing a product strategy for a new data product or evolving an existing one within the life sciences context.
• Market Analysis & Competitive Landscape: Anticipate questions about how you analyze markets, identify competitive threats and opportunities, and adapt product strategies accordingly.
• Team Leadership & Conflict Resolution: Prepare examples of how you manage teams, motivate individuals, and resolve conflicts, particularly in a remote or matrixed setting.
• Stakeholder Management: Practice articulating your strategic vision and rationale to diverse audiences, including technical teams, commercial teams, and executive leadership.

📝 Enhancement Note: Given the VP level, the interview process will heavily scrutinize strategic thinking, leadership capabilities, and domain expertise. The portfolio should be a curated representation of significant achievements that demonstrate these qualities, with a clear emphasis on quantifiable results and strategic decision-making within the life sciences data product space.

🛠 Tools & Technology Stack

Primary Tools:

• Product Management Platforms: Tools for roadmap planning, backlog management, and feature prioritization (e.g., Jira, Aha!, Productboard).
• Data Analytics & Visualization Tools: Platforms for exploring, analyzing, and presenting data insights (e.g., Tableau, Power BI, Looker, specialized healthcare analytics platforms).
• CRM Systems: For understanding customer interactions, sales pipelines, and market insights (e.g., Salesforce).
• Collaboration & Communication Tools: Essential for a remote team (e.g., Slack, Microsoft Teams, Zoom, Google Workspace).

Analytics & Reporting:

• Business Intelligence (BI) Tools: For creating dashboards and reports on product performance, market trends, and customer engagement.
• Data Warehousing/Lakehouse Technologies: Understanding of how data is stored and accessed to support product development and analytics.
• Statistical Software: Familiarity with tools used for advanced data analysis and modeling.

CRM & Automation:

• Marketing Automation Platforms: For developing and executing marketing campaigns (e.g., Marketo, HubSpot, Pardot).
• Sales Enablement Tools: To support account management and business development efforts.

📝 Enhancement Note: While specific tools are not listed, candidates should highlight experience with platforms commonly used in data product management, business intelligence, and marketing automation, particularly those relevant to the healthcare and life sciences industries. Proficiency in leveraging data to drive product strategy and market insights will be paramount.

👥 Team Culture & Values

Operations Values:

• Client Service: A fundamental principle, emphasizing a commitment to understanding and meeting client needs with high-quality data products and solutions.
• Purpose-Driven: A focus on the company's mission to improve healthcare through precision medicine and data insights, fostering a sense of meaningful contribution.
• Accountability: Taking ownership of responsibilities, product outcomes, and team performance, with a strong emphasis on delivering measurable results.
• Mutual Respect: Valuing diverse perspectives and fostering an inclusive environment where all team members feel respected and heard.
• Collaboration: A core operational value, emphasizing teamwork, shared goals, and effective partnerships across departments to achieve collective success.
• Data-Driven Decision Making: A culture that relies on data and analytics to inform strategy, product development, and operational improvements.

Collaboration Style:

• Proactive & Cross-Functional: Expect a highly collaborative environment where proactive communication and engagement across product, engineering, sales, marketing, and delivery teams are essential.
• Feedback-Oriented: A culture that encourages open feedback for continuous improvement of products, processes, and team dynamics.
• Strategic Alignment: Emphasis on ensuring all teams are aligned on the product vision, roadmap, and GTM strategies to present a unified front to the market.
• Knowledge Sharing: Practices that promote the sharing of insights, best practices, and lessons learned across teams, especially important in a remote setting.

📝 Enhancement Note: The stated company principles (Client Service, Purpose, Accountability, Mutual Respect, Collaboration) are likely embedded in the company's DNA and influence daily operations and decision-making. Candidates should demonstrate how their leadership style and approach align with these values, particularly in fostering a collaborative and accountable remote team environment.

⚡ Challenges & Growth Opportunities

Challenges:

• Navigating Complex Healthcare Data: The intricate nature of Payer, Provider, HCP, and Patient data, along with evolving regulations (e.g., HIPAA, GDPR), presents ongoing challenges in data integration, privacy, and compliance.
• Rapid Market Evolution: The life sciences and data technology sectors are highly dynamic. Staying ahead of emerging trends, competitive threats, and new data sources requires constant adaptation.
• Balancing Innovation with Scalability: Developing cutting-edge data products while ensuring they are scalable, reliable, and cost-effective for clients is a perpetual challenge.
• Cross-Functional Alignment in a Remote Setting: Ensuring seamless collaboration, clear communication, and unified strategy execution among distributed teams requires deliberate effort and robust processes.
• Demonstrating ROI for Data Products: Clearly articulating and quantifying the return on investment for complex data solutions can be challenging, requiring strong analytical and communication skills.

Learning & Development Opportunities:

• Industry Conferences & Certifications: Access to leading life sciences, data analytics, and product management conferences, along with opportunities for relevant professional certifications.
• Mentorship & Executive Exposure: Direct mentorship from senior leadership (SVP, potentially C-suite) and exposure to high-level strategic decision-making.
• Advanced Data & AI/ML Training: Opportunities to deepen expertise in advanced analytics, machine learning applications in healthcare, and emerging data technologies.
• Leadership Development Programs: Potential for formal leadership training to enhance skills in managing large teams, strategic planning, and executive communication.
• Cross-Practice Area Exposure: Opportunity to gain insights into and potentially contribute to other practice areas within Precision Medicine Group, broadening overall industry knowledge.

📝 Enhancement Note: This role offers significant opportunities for professional growth by tackling complex industry challenges and developing leadership skills in a high-impact sector. The emphasis on continuous learning and development is critical for staying relevant in the fast-paced life sciences data landscape.

💡 Interview Preparation

Strategy Questions:

• Product Vision & Roadmap: "Describe how you would develop a 3-5 year product strategy for our Data Solutions portfolio, considering current market trends in biopharma market access and patient outcomes." Prepare to discuss your approach to market segmentation, competitive analysis, and prioritization.
• Data Product Innovation: "How would you identify and validate opportunities for new data products that leverage Payer, Provider, and Patient data to solve critical challenges for pharmaceutical clients?" Be ready to outline your ideation and validation process.
• Team Leadership & Culture: "How have you built and led high-performing product teams, particularly in a remote environment? How do you foster a culture of accountability and collaboration aligned with company values?" Prepare specific examples demonstrating your leadership style.

Company & Culture Questions:

• Understanding Precision Medicine Group: "What do you know about Precision Medicine Group and our mission? How do you see your role contributing to our success in the life sciences data solutions market?" Research the company website, recent news, and their position in the industry.
• Industry Expertise: "Discuss your understanding of the biopharmaceutical commercialization and market access landscape. What are the key data challenges and opportunities you see for our clients?" Demonstrate your domain knowledge.
• Collaboration & Influence: "Describe a time you had to influence stakeholders across different departments (e.g., Sales, Engineering, Marketing) to adopt your product strategy. What was the outcome?" Prepare a STAR method (Situation, Task, Action, Result) answer.

Portfolio Presentation Strategy:

• Quantify Impact: For each case study, clearly present the problem, your solution, and the quantifiable results (e.g., % increase in market access, $ revenue impact, % improvement in patient identification).
• Strategic Rationale: Explain the strategic thinking behind your decisions, linking them to broader business objectives and market dynamics.
• Process & Methodology: Briefly touch upon the processes you employed for product development, market research, and collaboration, highlighting efficiency and effectiveness.
• Tailor to the Role: Emphasize examples that directly relate to data products, life sciences, market access, and leadership.
• Conciseness & Clarity: Present information clearly and concisely, focusing on the key takeaways and impact. Be prepared to answer detailed questions about any aspect of your presented work.

📝 Enhancement Note: Preparation should focus on demonstrating strategic leadership, deep domain expertise in life sciences data and commercialization, and a proven ability to build and lead teams. Quantifiable achievements and a clear understanding of the company's mission and market position are critical.

📌 Application Steps

To apply for this operations position:

• Submit your application through the Greenhouse application portal.
• Curate Your Portfolio: Select 2-3 key projects or achievements that best demonstrate your strategic product leadership, data product development experience, and GTM execution within the life sciences sector. Quantify the impact of each.
• Tailor Your Resume: Highlight your 15+ years of experience, specifically focusing on product strategy, data solutions, life sciences, market access, and leadership roles. Incorporate keywords from the job description.
• Prepare Your Presentation: Anticipate a case study or presentation requirement. Practice articulating your strategic vision, product roadmap development, and team leadership approach, focusing on quantifiable outcomes and alignment with Precision Medicine Group's values.
• Research the Company: Thoroughly review Precision Medicine Group's website, understand their product offerings (DecodeRx Payer, Provider, PatientLens), their mission, and their position in the market. Identify how your experience aligns with their strategic goals.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.