Senior Director, Enterprise Data & Intelligence

This is a fully remote position, open to applicants in California.

📋 Description

• Formulate and implement the enterprise vision, strategy, roadmap, and investment plan for Enterprise Data & Intelligence, ensuring it aligns with Travere's business goals and long-term priorities.

• Create and refine an enterprise operating model that harmonizes centralized data platforms, governance, and standards with analytics owned by the business, tailored to organizational maturity, capability, and needs.

• Collaborate with business leaders across the organization to pinpoint opportunities where reliable data, reporting, and analytics enhance decision-making, operational efficiency, and business results.

• Direct the strategy, architecture, and development of the enterprise data platform, ensuring it provides scalable, secure, and governed capabilities that facilitate enterprise reporting, analytics, digital innovation, and AI readiness.

• Implement a practical, maturity-based approach to enterprise data governance, data quality, stewardship, and information management that promotes business agility while safeguarding enterprise information assets.

• Establish the Enterprise Data & Intelligence function utilizing an MSP-first operating model, offering strategic leadership for managed service providers, technology partners, and the long-term enhancement of internal enterprise capabilities.

• Work alongside the Sr. Dir AI Strategy & Engineering to guarantee that enterprise data acts as a dependable foundation for AI, machine learning, and intelligent automation through well-defined ownership, governance, and collaborative practices.

• Oversee the Enterprise Data & Intelligence portfolio with executive oversight, which includes financial planning, technology investments, vendor management, and enterprise architecture, while acting as the executive advocate for enterprise data across Travere.

⛳️ Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related discipline is required.

• A Master's degree or equivalent advanced education is preferred.

• At least twelve (12) years of progressive leadership experience in Enterprise Data, Analytics, Business Intelligence, Data Engineering, or related fields within the life sciences or pharmaceutical industry.

• Proven success in developing enterprise data strategies, investment roadmaps, and operating models that align technological capabilities with business objectives.

• Demonstrated experience in leading enterprise data platform implementations using modern cloud technologies and scalable data architectures.

• Experience in building enterprise capabilities through a mix of internal teams, managed service providers, and strategic consulting partners.

• Proven track record in managing enterprise budgets, technology investments, vendor relationships, and strategic sourcing initiatives.

• Ability to influence executive leadership, drive organizational change, and foster strong cross-functional partnerships.

🏝️ Benefits

• Premium health.

• Financial benefits.

• Work-life and well-being offerings for eligible employees and their dependents.

• Wellness and employee support programs.

• Life insurance.

• Disability coverage.

• Retirement plans with employer match.

• Generous paid time off.