Director - Data, Analytics, and Innovation

The Director for Data, Analytics & Innovation will define and develop the data strategy, drive digital transformation, and manage business relationships for the Core R&D team. This role involves leading a multi-discipline team, fostering talent, building partnerships, and ensuring technical capabilities. Reporting to senior leadership, the director will drive strategic value through technology and innovation, develop relationships with business and IT leaders, and oversee data, analytics, IoT, AI, and governance strategies to support the division's long-term plans and operations.

• Provides strategic technology leadership and consultation on business architecture, process optimization, data, analytics, IoT, AI, innovation, and trends.
• Develops and aligns the IT portfolio for data, analytics, IoT, AI, and innovation across the business.
• Enhances strategic partnerships across various domains, focusing on data, analytics, health analytics, IoT, AI, and innovation.
• Manages divisional data and analytics services, overseeing on-premises, cloud, and big data ecosystems.
• Accountable to senior leadership for technology enablement, ensuring alignment with internal technology strategy and managing business value.
• Represents IT on various councils, leads Core Diagnostics' Data Use Ethics & Governance Council, and interfaces with external health analytics partnerships.
• Partners with business leadership to establish and manage a technology strategy supporting key imperatives

Key Responsibilities:

• Develop and align IT strategy with business priorities, providing thought leadership on technology capabilities and trends.
• Define business objectives and IT solutions, creating long-range plans and capability roadmaps.
• Oversee the portfolio of data, analytics, IoT, and AI services, ensuring effective program management and delivery.
• Manage costs of data, analytics, IoT, and AI solutions, focusing on cost-effective operations and sourcing strategies.
• Ensure compliance with relevant regulations and policies, safeguarding assets and intellectual property.
• Champion change and innovation, fostering creativity and supporting risk-takers.
• Lead the BRM team, handling all aspects of people management and promoting team morale.
• Ensure organizational effectiveness, compliance with policies, and manage budgets and major projects.

Education and Experience:

• Bachelor's degree in computer science, data science, business administration, or equivalent.
• 12 years in business relationship management, data and analytics, enterprise data strategy, and IT in large/midsized multinational pharmaceutical or healthcare organizations.
• Strong verbal/written communication, collaboration, problem-solving, and partnering skills.
• Experience developing technology strategies for business value creation across various domains.
• Proven success in leading large-scale initiatives with enterprise-level impact.
• Financial and process skills, creative problem-solving, and experience in matrix global organizations.
• Leadership in translating big data capabilities into business outcomes and supporting real-time decision-making.
• Experience in developing data strategies, solving technical debt, and simplifying IT landscapes.
• Strong understanding of data warehousing, big data architecture, and delivering large data management initiatives.
• Hands-on analytical experience in optimization across various business functions.
• Experience in vendor management, regulatory environments, and validated healthcare systems.
• Strong organizational, project management, and decision-making skills.
• Proven leadership, self-direction, and strong work ethic.
• Ability to work effectively with all management levels and drive change in ambiguous environments.

Preferred Qualifications:

• Advanced degree in data science or strategy development.
• Advanced statistical and data science knowledge.
• Experience managing cloud computing, big data analytics, AI, and operations.
• Business knowledge in diagnostics, health analytics, pharmaceutical, or medical device industry.
• Experience with third-party vendors for external data.
• Experience in regulated environments with validated healthcare systems.