Senior Director Commercial Advanced Analytics & Data Strategy

Please note that this position can be based in Princeton NJ San Diego CA or San Francisco CA. Acadias hybrid model requires this role to work in our office three days per week on average.

Position Summary

The Sr. Director Commercial Advanced Analytics & Data Strategy is a strategic leadership role responsible for defining building and scaling the analytics capabilities data strategy and governance frameworks that enable commercial decision-making across the organization. This role ensures that high quality data advanced analytics and AI enabled insights are seamlessly integrated into commercial strategy planning launch execution and in market optimization. The Sr. Director serves as a strategic partner cross-functionally translating business priorities into scalable analytics products and platforms while ensuring governance compliance and measurable business impact.

Over time this role will build and mature commercial advanced analytics and data capabilities establish fitforpurpose operating models and define future talent and capability needs to support the evolving business. The role will work closely with Acadias AI team which provides shared AI expertise across Commercial and R&D as well as with IT teams responsible for enterprise data infrastructure and platform enablement.

Primary Responsibilities

Commercial Analytics Strategy & Leadership

• Partner with Commercial leadership to define the advance analytics vision strategy and initiatives that enables the development of scalable analytics and decision-support capabilities that drive business outcomes

• Lead and govern advanced analytics projects predictive analytics and AI/machine learning solutions supporting brand strategy launch planning patient support segmentation targeting omnichannel optimization and sales effectiveness.

• Enable AI-driven commercial use cases such as next-best-action customer engagement optimization automated forecasting and scenario planning.

• Balance innovation with rigor by ensuring analytics solutions are interpretable validated and compliant with internal and external requirements including privacy laws

• Translate commercial business questions into analytics use cases models and decision frameworks.

• Ensure analytics outputs and insights are actionable adopted and embedded into commercial planning existing workflows processes systems and demonstrate measurable outcomes.

• Act as a trusted advisor to Commercial leadership influencing decisions through data-driven insights

• Partner with the Enterprise AI team to identify prioritize and scale high-value AI and advanced analytic capabilities solutions and governance.

Data Strategy Governance and Cross-Functional Enablement Leadership

• Establish commercial data strategy to support the organization in achieving its business objectives. This includes leading the acquisition implementation and evolution of the commercial data assets including syndicated claims EMR prescription HUB/SP/Partner promotional and digital data.

• Partner cross-functionally with Enterprise Data IT and infrastructure teams to enable scalable data platforms data pipelines and tools that support analytics AI and self-service insights.

• Oversee vendor selection and management for data sources analytics tools and platforms.

• Establish governance frameworks for data access analytics validation and model lifecycle management.

• Collaborate with legal/compliance teams to mitigate risk and ensure compliance with HIPAA GDPR CCPA and internal data privacy and security policies.

• Partner with IT data and infrastructure teams to align commercial analytics needs with enterprise architecture platform standards security requirements and long-term data strategy.

Leadership & Communication

• Serve as a bridge between business stakeholders and technical teams ensuring clarity of requirements and outcomes.

• Influence senior executives through concise storytelling visualization and business impact measurement.

• Build lead retain and mentor a high-performing team and capability in support of advanced analytics data acquisition and data governance while fostering a culture of accountability continuous improvement and innovation.

• Assess and evolve organizational capabilities talent and ways of working needed to scale commercial advanced analytics over time.

• Other responsibilities as assigned.

Education/Experience/Skills

Bachelors degree in data science statistics engineering computer science or a related field; Advanced degree (MS PhD or MBA) preferred. Targeting 12 years of progressively responsible experience in commercial analytics data science or data infrastructure data strategy or related functions with significant experience in biotech or pharmaceutical organizations. An equivalent combination of relevant education and experience may be considered.

Key Skills:

• Advanced analytics modeling and visualization tool experience (AI/ML predictive analytics (Python) SQL R and PowerBI).

• Experience working with modern data platforms and cloud technologies (e.g. Snowflake Databricks DataRobot Dataiku AWS Azure GCP).

• Deep experience and understanding of commercial datasets data environments and data vendors (including Hub Specialty Pharmacy patient services Veeva CRM syndicated claims prescriptions payer social media/website Google Facebook etc.).

• Proven ability to lead cross-functional AI/ML and Analytical initiatives and influence senior stakeholders and to drive adoption of analytic solutions.

• Solid understanding of pharmaceutical commercialization concepts including launches brand planning and lifecycle management.

• Demonstrated experience in leading data governance initiatives and processes.

• Demonstrated ability to design and communicate complex systems and analytical solutions to both technical and non-technical audiences aligning resources and execution to achieve functional and enterprise goals.

• Proven abilities with executive-level communication data storytelling and change leadership.

• Demonstrated impact of analytics on commercial strategy decision making performance and ROI.

• Proven ability to lead coach and develop talent while building organizational capability in a fast-evolving environment.

• Experience partnering effectively with cross-functional partners and business stakeholders to deliver scalable analytics solutions.

• Ability to balance strategic vision with hands-on prioritization and execution in fast past environment.

Physical Requirements

This role involves regular standing walking sitting and the use of hands for handling or operating equipment. The employee may also need to reach climb balance stoop kneel crouch and maintain visual verbal and auditory communication in a standard office environment and while working independently from remote locations. The employee must occasionally lift and/or move up to 20 pounds. This position requires the ability to travel independently overnight and/or work after hours as required by travel schedules or business needs.

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