Director, Data & Analytics

Job Summary:

The Director Data & Analytics leads the enterprise data business intelligence advanced analytics and artificial intelligence agenda. The role defines strategy establishes governance builds scalable data capabilities and partners with business leaders to convert trusted data into measurable business a regulated life sciences environment the Director ensures that analytics and AI solutions are secure compliant explainable appropriately validated and aligned with data integrity and privacy expectations.

Job Responsibilities

Enterprise Data and Analytics Strategy

• Define and execute a multi-year enterprise data and analytics strategy aligned with business priorities technology architecture risk tolerance and the company operating model.
• Own the data and analytics portfolio roadmap operating cadence budget recommendations resource plan and value-realization framework.
• Advise executive leaders on major data analytics digital and AI opportunities tradeoffs dependencies and risks.
• Create clear decision rights across central data teams business data owners stewards and technology partners.

Data Platform Architecture and Delivery

• Lead the design and evolution of a secure scalable enterprise data platform including ingestion integration lakehouse or warehouse services semantic models and data products.
• Prioritize integration of critical commercial clinical quality regulatory manufacturing financial people and enterprise data sources based on business value and readiness.
• Establish platform reliability data freshness monitoring support documentation and service-level expectations.
• Apply disciplined product and program management to move initiatives from discovery through delivery adoption and measurable benefit.

Data Governance Quality and Compliance

• Establish the enterprise data governance framework including domains ownership stewardship definitions metadata cataloging lineage quality standards access controls retention and issue management.
• Partner with Quality Regulatory Legal Privacy Information Security and system owners to define controls appropriate to regulated and sensitive data use.
• Promote source-of-truth reporting consistent enterprise KPI definitions transparent assumptions and audit-ready documentation.
• Ensure that data and analytics practices support applicable GxP data integrity privacy security records management and validation requirements.

Business Intelligence and Decision Support

• Lead enterprise BI strategy executive dashboards performance reporting self-service analytics and common visualization and reporting standards.
• Partner with functional leaders to translate strategic and operational questions into data products analyses forecasts scenarios and actionable recommendations.
• Build an enterprise semantic and KPI layer that improves consistency reuse and confidence in management information.
• Drive adoption through training data literacy analyst communities and embedded decision routines.

Artificial Intelligence and Advanced Analytics

• Define and execute an enterprise AI and advanced analytics roadmap focused on high-value feasible and responsible use cases.
• Establish an AI intake and prioritization process that evaluates business value data readiness model risk regulatory impact security privacy explainability human oversight and change-management needs.
• Lead responsible deployment of generative AI copilots predictive analytics machine learning intelligent automation and decision-support solutions.
• Create and maintain AI governance standards for approved tools acceptable use access documentation testing monitoring model performance bias and risk review human-in-the-loop controls and retirement.
• Partner with Quality Security Legal Privacy and business owners to determine when AI-enabled solutions require formal risk assessment validation control evidence or ongoing monitoring.
• Ensure AI augments accountable human decision-making and is not used for unsupported autonomous decisions in regulated or high-risk processes.
• Build organizational AI fluency through practical education use-case coaching adoption support and communication of benefits limitations and responsibilities.

Leadership Talent and Partnerships

• Build and lead a high-performing multidisciplinary team spanning data engineering governance BI analytics data products and AI using internal talent and external partners as appropriate.
• Chair or co-lead a cross-functional Data and Analytics Council to prioritize investments resolve ownership issues and monitor value quality risk and adoption.
• Develop business partnerships across Commercial Market Access Medical Affairs R&D Quality Regulatory Manufacturing Supply Chain Finance Human Resources and other functions.
• Manage vendors and strategic partners with clear accountabilities performance measures security expectations and knowledge-transfer requirements.

Qualifications:

• Bachelors degree in data science analytics statistics computer science information systems engineering business or a related discipline; advanced degree preferred.
• Approximately 10 or more years of progressive experience in data analytics business intelligence digital technology or related roles including leadership of complex enterprise initiatives.
• Experience building or scaling enterprise data platforms governance programs BI capabilities data products advanced analytics or AI-enabled solutions.
• Experience in pharmaceutical biotechnology healthcare medical device manufacturing or another regulated industry strongly preferred.
• Demonstrated success leading cross-functional transformation influencing senior stakeholders managing partners and converting strategy into measurable outcomes.

Technical and Business Capabilities

• Working knowledge of modern cloud data architectures data integration APIs lakehouse or warehouse patterns semantic models BI platforms metadata lineage master data and data quality practices.
• Practical understanding of AI and machine learning lifecycle concepts generative AI model evaluation responsible AI controls monitoring and human oversight.
• Ability to evaluate technology options and delivery approaches based on value scalability security compliance usability interoperability total cost and organizational readiness.
• Strong business acumen executive communication portfolio management financial discipline vendor management and change-leadership skills.
• Ability to explain complex data and AI topics clearly to technical business executive and governance audiences.

The above statements are intended to describe the general nature and level of the work being performed by colleagues assigned to this position. This is not intended to be an exhaustive list of all responsibilities duties and skills required. Aquestive reserves the right to make changes to the job description whenever necessary.

As part of Aquestives employment process final candidate will be required to complete a drug test and background check prior to employment commencing. Please Note: Aquestive is a drug-free workplace and has a drug free workplace policy in place.

Aquestive provides equal employment opportunities to all colleagues and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.

This position has an expected base salary range of $200000 - $230000.

Required Experience:

Director