Own Omnichannel Engine Product Strategy and Roadmap

• Define the product vision and roadmap for the omnichannel orchestration / next-best-engagement engine and related decisioning capabilities.
• Align engine strategy with Commercialization goals, Therapeutic Area launch plans, and the broader omnichannel capability roadmap led by the Executive Director.
• Continuously update the roadmap based on business needs, model performance, and emerging capabilities in analytics and AI.

Translate Brand & Therapeutic Area Strategies into Engine Logic

• Work with brand and Therapeutic Area teams to understand customer journeys, strategies, and priority actions.
• Translate strategies into business rules, triggers, eligibility logic, and prioritization frameworks within the engine.
• Ensure orchestration logic reflects field, digital, patient, and access channel nuances.

Partner with Business Insights and technology on Models and Algorithms

• Collaborate with Business Insights and Technology teams to develop, deploy, and refine predictive and prescriptive models (e.g., propensity, response, next-best-action).
• Define the operational requirements for models to run within the engine (inputs, refresh cadence, thresholds, guardrails).
• Help interpret model outputs and ensure they are translated into actionable, understandable recommendations for end users.

Design and Optimize Orchestration & Automation Workflows

• Define and maintain standard orchestration workflows that determine how recommendations are generated, prioritized, and delivered to channels.
• Partner with CRM and Marketing Automation teams to ensure recommendations are seamlessly executed across relevant systems.
• Implement and manage A/B tests, champion–challenger approaches, and other experiments to improve engine logic and outcomes.

Build and Maintain Closed-Loop Measurement

• Define closed-loop processes linking recommendations, actions taken, and customer responses back into the engine.
• Partner with Business Insights and Technology teams to design dashboards, metrics, and diagnostics for engine performance (e.g., adoption, recommendation quality, lift vs. control).
• Use insights to refine business rules, model configurations, and orchestration workflows.

Ensure Integration with Data, Platforms & Taxonomy Standards

• Work with Business Insights and Technology, and the Taxonomy & Tagging COE to ensure the engine has access to the right structured data, tags, and identifiers.
• Support integration of the engine with CRM, marketing automation, content systems, and analytics platforms via APIs and data pipelines.
• Advocate for data quality, timeliness, and standardization as foundational requirements for engine performance.

Drive Adoption, Change Management & Ways of Working

• Partner with Sales, Marketing, Medical, Market Access, and Business Insights and Technology teams to embed engine recommendations into daily operating rhythms (e.g., call planning, digital campaign planning).
• Develop training materials, playbooks, and communication plans to help users understand, trust, and act on recommendations.
• Facilitate user feedback loops to identify adoption barriers and inform future enhancements.

Manage Risk, Governance & Compliance

• Ensure that business rules and model-driven recommendations operate within compliance, legal, and regulatory guardrails for pharmaceutical promotion.
• Maintain documentation and approvals for key rules, logic changes, and model deployments.
• Coordinate with Compliance, Legal, and Medical to update logic when policies, labels, or regulations change.

Lead Team, Vendors & Budget Within Scope

• Manage and develop a team (and/or matrixed resources) responsible for engine configuration, testing, and optimization.
• Oversee vendor and partner relationships related to orchestration and decisioning capabilities.
• Contribute to budget planning for engine-related licenses, services, and innovation initiatives, and manage spend within agreed parameters.

Support Enterprise Omnichannel Capability Evolution

• Collaborate closely with the Executive Director, Omnichannel Capability and peer Directors (CRM & Marketing Automation; Taxonomy & Tagging COE) to ensure a cohesive omnichannel operating model.
• Provide input into enterprise omnichannel maturity assessments and roadmap discussions.
• Share best practices and learnings across TAs and markets to continually raise capability standards.

• BA/BS undergraduate degree, preferably in Business, Technology, Analytics or Health Sciences is required. A master’s degree or equivalent experience is preferred.
• Minimum 8+ years in life sciences or pharmaceutical industry, with exposure to commercial operations, analytics, or digital transformation; at least 3 years focused on omnichannel strategy, orchestration, or capability enablement
• Proven expertise with omnichannel platforms and tools (e.g., Salesforce Marketing Cloud, Veeva CRM/Engage, Adobe Experience Cloud, etc.)
• Strong technical skills in data modeling, analytics, and API integration for commercial platforms
• Exceptional knowledge of commercial data domains, including Customer 360, Incentive Compensation, Claims/Payer, Omnichannel Engagement, and enterprise data assets as well as proficiency in leveraging syndicated/secondary datasets from leading vendors (IQVIA, Symphony Health, Veeva, Definitive Healthcare, AHA, AMA, Specialty Pharmacy, etc.)
• Hands-on experience with predictive modeling, and AI/ML deployment in marketing contexts
• Strong understanding of AI-driven marketing applications, including next-best-action orchestration and emerging agentic frameworks
• Experience leading cross-functional teams, tool/platform experts, and vendors
• Strong communication, training, and stakeholder engagement capabilities to drive adoption of and best practices
• Familiarity working within legal, regulatory, and privacy frameworks impacting pharmaceutical commercialization in the U.S.

Omnichannel Orchestration & Decisioning Expertise

• Strong understanding of omnichannel strategies and how orchestration / NBA engines drive customer engagement.
• Experience designing or operating rules-based and model-driven decisioning systems in a commercial setting (ideally within the pharmaceutical or life sciences industry).

Product Ownership & Platform Mindset

• Comfortable owning an engine as a product with a defined vision, roadmap, and backlog.
• Skilled at making trade-offs between complexity, value, and time-to-market.

Data, Modeling & Analytics Fluency

• Solid grasp of predictive and prescriptive analytics concepts (propensity models, response models, recommendation systems) and new agentic concepts.
• Able to partner effectively with data scientists and analysts and translate between business questions and technical approaches.

Business Rules & Segmentation Logic

• Strong ability to define and govern business rules, segmentation, and prioritization logic that align with brand strategies and compliance requirements.
• Comfortable managing change-control processes for rules and logic updates.

Cross-Functional Collaboration & Influence

• Demonstrated ability to work with Marketing, Sales, Medical, Market Access, Business Insights and Technology, and Compliance stakeholders.
• Strong communication skills, with the ability to explain complex engine behavior and trade-offs in clear, business-relevant language.

Analytical & Results Orientation

• Uses data to evaluate engine performance, adoption, and incremental impact.
• Embraces test-and-learn approaches and iterative optimization.

Change Management & User Enablement

• Experience embedding new tools or capabilities into sales/marketing workflows.
• Skilled in training, stakeholder engagement, and driving behavioral change.

People & Vendor Leadership

• Experience leading small teams and/or matrixed resources in technical or analytics-heavy environments.
• Comfortable managing vendors and ensuring delivery quality against SLAs.