Manager, Analytics Products

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Analytics and Performance Excellence (APEX) function supports AbbVie’s US organization and is comprised of highly regarded researchers, analysts, data scientists and strategists who are committed to being best-in-class within the biopharmaceutical industry. We serve as a strategic in-house counsel, ensuring that all decisions leverage the key insights that we develop. We continue to build new capabilities and skill sets, encouraging our team members to pull up a chair, be themselves, be creative, speak their minds, and do good work. We are a passionate, diverse, flexible, and inclusive organization with a culture that supports the best ideas, wherever they originate. We are smart, fun, quirky, and innovative - and we’d love for you to join us.

Role Summary

Manager, Analytics Products is the single-threaded product owner for a defined subset of AbbVie's Omnichannel analytics portfolio - a suite of capabilities spanning omnichannel marketing strategy, planning, execution, and measurement. Operating within the APEX Enterprise Advanced Analytics and Innovation team, this role holds full accountability for the business value of its assigned products. Reporting to the Associate Director, Analytics Products, the SM partners closely with Data Science, Marketing, Digital Lab, BTS, APEX Business Units, and external partners to ensure Omnichannel analytics solutions are impactful, adopted, and continuously improving. This is an outcome-oriented role combining applied AI/ML expertise with a product ownership mindset.

Key Responsibilities

• Own the product vision, strategy, and roadmap for a subset of Omnichannel analytics capabilities, ensuring alignment from strategy through execution.
• Define the problem space - articulating business outcomes, user needs, scope, and the product backlog - while partnering with Data Science, Data Transformation, and BTS on technical delivery.
• Manage the full APEX product lifecycle across 1-2 assigned Omnichannel initiatives, from Intake and Solutioning through Prioritization, Build & Validate, Delivery & Adoption, and Measure & Enhance.
• Drive value-based prioritization , making disciplined trade-off decisions on scope, features, and timelines based on business impact, with clear acceptance criteria for deliverables.
• Define and track success metrics , including adoption and business impact, and support closed-loop measurement frameworks to assess end-to-end promotional effectiveness.
• Partner with Marketing, Digital Lab, BTS, APEX Business Units, and external vendors to co-develop analytics solutions that deliver quantifiable value across HCP and patient journeys.
• Represent assigned analytics products in Product Council forums as the authoritative voice on product direction and trade-offs, feeding updates to the AD for Steering Committee visibility.
• Engage stakeholders consultatively , shifting conversations from feature requests to problem definitions, user outcomes, and measurable results.
• Communicate insights and strategy clearly - creating compelling roadmap presentations and recommendations for senior cross-functional audiences.

Supervisory / Management Responsibilities

This role does not carry formal direct report responsibilities at this time.

Key Competencies

• Outcome-oriented : Defines success metrics, measures product impact, and holds teams accountable to results - not delivery milestones.
• Curiosity-driven discovery : Actively seeks out unmet needs and untapped AI/ML opportunities through networking and exploration, rather than waiting for requests to arrive.
• Influence without authority : Builds alignment across Marketing, Data Science, Engineering, BTS, and partners through credibility and strategic framing.
• Disciplined prioritization : Makes and defends scope and trade-off decisions based on business impact, urgency, and technical feasibility.
• Strong communication : Presents complex analytics concepts and product strategies to senior audiences with clarity.
• Consultative problem-framing : Translates ambiguous business challenges into well-scoped product opportunities with measurable outcomes.
• Cross-functional collaboration : Builds trust across diverse stakeholder groups while maintaining clear decision rights per the APEX governance model.

Qualifications

Education

Bachelor's degree in Business Administration, Statistics, Economics, Engineering, or a related quantitative field. Advanced degree (MBA, MS, or PhD) preferred.

Required Experience

• 5+ years in marketing analytics, digital analytics, or commercial analytics in biopharma, healthcare, or life sciences.
• 3+ years as a product owner or product manager for analytics, data, or technology products, with full lifecycle ownership.
• 3+ years in omni-channel analytics, engagement analytics, journey analytics, or closed-loop measurement.
• 3+ years defining data and technology requirements in collaboration with data science, engineering, or technology teams.
• 3+ years measuring commercial effectiveness via promotional response analysis, closed-loop measurement, A/B testing, or quasi-experimental methods.
• 2+ years hands-on building AI/ML prototypes, proofs-of-concept, or MVPs.
• Demonstrated ability to independently stand up a working demo or prototype from an ambiguous business idea with minimal upfront specification.
• Hands-on experience with data science tools (Python, R, SQL) and ability to engage technically with data science and technology partners.

Preferred Experience

• Agile product development experience: backlog management, sprint planning, user story writing, and acceptance criteria.
• Familiarity with pharma data sources (Symphony Health, IQVIA, or equivalent prescription, patient, and omnichannel marketing data).
• Experience designing and delivering executive-ready demos and presentations that translate technical AI/ML capabilities into business language for non-technical audiences.
• Background in data visualization or design (e.g., Tableau, Power BI, Figma) to elevate the clarity and impact of prototypes and stakeholder-facing materials.
• Experience working with Agentic Coding Tools (Cursor, Claude Code, Codex, Antigravity).

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.
• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
• This job is eligible to participate in our long-term incentive programs.

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, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employer remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.