Key Responsibilities
- Own the product vision, strategy, and roadmap for the Omnichannel analytics suite (omnichannel marketing strategy, planning, execution, and measurement), ensuring alignment from strategy through execution.
- Define the problem space (business outcomes, user needs, scope, product backlog) and partner with Data Science, Data Transformation, and BTS on technical delivery.
- Manage the full APEX product lifecycle across Omnichannel initiatives: Intake and Solutioning through Prioritization, Build & Validate, Delivery & Adoption, and Measure & Enhance.
- Drive value-based prioritization and disciplined trade-off decisions on scope, features, and timelines; define clear acceptance criteria.
- Define and track success metrics (adoption and business impact) and establish closed-loop measurement to assess end-to-end promotional effectiveness.
- Partner with Marketing, Digital Lab, BTS, APEX Business Units, and external vendors to co-develop analytics solutions delivering quantifiable value across HCP and patient journeys.
- Represent analytics products in Product Council and Steering Committee forums as the authoritative voice.
- Engage stakeholders consultatively and communicate roadmap/strategy to executive and senior cross-functional audiences.
Supervisory / Management Responsibilities
- Lead 1β2 direct reports; manage vendor relationships and budgets for analytics products.
Qualifications
- Bachelorβs degree in a quantitative field; MBA/MS/PhD preferred.
- 10+ years marketing/digital/commercial analytics in biopharma/healthcare/life sciences.
- 6+ years as a product owner/manager for analytics, data, or technology products.
- 6+ years omni-channel/engagement/journey analytics or closed-loop measurement.
- 6+ years defining data/technology requirements with data science/engineering.
- 6+ years measuring commercial effectiveness (promotional response, closed-loop measurement, A/B testing, quasi-experimental).
- 2+ years leading/mentoring direct reports.
- Experience managing vendors at enterprise scale.
- Hands-on Python, R, SQL; ability to engage technically with data science partners.
Preferred Experience
- Agile product development (backlog management, sprint planning, user stories, acceptance criteria).
- Familiarity with pharma data sources (e.g., Symphony Health, IQVIA).
- Experience with product governance (intake triage, investment prioritization, steering committees).