Job description

Please Note: Local candidates to Southern California Only, This is a hybrid position in the San Diego, CA area. 25% onsite. Must Have Industry experience within Life Science, Medical Device, BioTech or Pharmaceutical organizations. --------------- Exceptional opportunity for Director, Information Technology – Enterprise Analytics & Applied Artificial Intelligence (AI) for a full-time direct hire position in San Diego, CA. The position is hybrid, with an expectation to work onsite at least 25% of the time. • Position: Senior / Director, Information Technology – Enterprise Analytics & Applied Artificial Intelligence (AI) • Location: San Diego, CA • Salary $225k - $250k plus bonus + stock and great benefits, Candidates must be within commuting distance to San Diego, CA and able to work onsite at least 25% of the time, as needed based on need. (1 – 2 days week as needed onsite) The Senior Director, Information Technology – Enterprise Analytics & Applied Artificial Intelligence is responsible for hands-on leadership of a small transformative team focused on both developing strategy for adopting innovative applications of Artificial Intelligence (AI) across the enterprise as well as the execution of results-oriented programs focused on advancing strategic data & analytics capabilities. Must Have Industry experience within Life Science, Medical Device, BioTech or Pharmaceutical organizations. This role is responsible for both AI Strategy & Execution, to help build out, this is a Very Hands on position. Experience/Skills Needed: • Bachelor's degree in a quantitative field, Advanced degree preferred. • 15 years of experience in data and analytics, • 5 years of experience with Next Gen AI-related roles • 7 years in leadership positions. • Must Have Industry experience within Life Science, Medical Device, BioTech or Pharmaceutical organizations. • Hands-on experience designing and delivering large-scale business-oriented solutions focused on data, analytics, and novel applications of machine learning (e.g. GenAI). • Experience working with senior business leaders to develop roadmaps for impactful application of AI (e.g. operational efficiencies, new business growth). • Experience building, deploying, and maintaining proprietary LLM applications (i.e. internal Chat GPT tools). • Experience building, deploying, and maintaining other types of AI-driven intelligent assistance (e.g. RPA, next-best-action platforms) • Experience with deploying and maintaining advanced data management, analytics, and visualization, and AI platforms/tools for data & analytics teams across the enterprise. • Experience building and operating solutions that meet both regulatory (e.g. FDA) and corporate compliance requirements. • Experience partnering and collaborating with R&D, manufacturing, safety, regulatory, commercial and/or enabling functions within Life Science, Medical Device, BioTech or Pharmaceutical organizations. • Deep expertise in AI and data strategy, data architecture, data engineering, data governance, and advanced analytics. • Proven experience in collaborating with Infrastructure, Cybersecurity, and Enterprise Architecture teams to deploy scalable and secure AI solutions. • Strong understanding of modern data stack and cloud-based data platforms (e.g., AWS, Azure) and their data services. • Innovative, capacity to think through enterprise lens and strategic thinker with sound grasp of new technologies, competitive landscapes, and the regulatory environment. • Ability to align digital strategy with the organization’s overall IT and security goals, ensuring that solutions are both innovative and secure. • Vendor management experience including vendor due diligence, contracting, and performance management, fostering partnerships and contracts which result in competitive investment for clients and maximizes the efficiency of vendor performance. • Ability to creatively influence global stakeholders and IT colleagues to achieve objectives and realize business value. • Strong leadership and decision-making skills with ability to develop positive coaching/mentoring relationships with direct reports and matrixed team members. • Excellent analytical and problem-solving skills. Able to understand and absorb complex information and requirements. Responsibilities: These may include but are not limited to: • Lead cross-functional effort to establish comprehensive vision and roadmap for advancing enterprise data architecture, analytics and AI capabilities aligned with strategic corporate objectives. • Collaborate with cybersecurity, legal, and infrastructure teams to refine and/or develop policies and practices that ensure best-in-class data protection, ethical AI use, and regulatory compliance. • Develop and execute results-oriented project portfolio in alignment with enterprise roadmap and related best practice and policies, inclusive of periodic updates to senior management and responsibility for multi-year budget plans. • Provide day-to-day leadership for high-performing data and AI project teams across multiple disciplines, partnering with business leaders to maximize ROI of each effort. • Provide quality oversight throughout project lifecycles; accountable for ensuring best practices in data modeling, governance, application of responsible AI, and compliance with regulatory requirements and corporate policies. • Reinforce data-driven decision-making culture through the advancement of data literacy and access policies that support the growth of responsible and secure self-service analytics capabilities across the enterprise. • Plan, operate and manage enterprise-wide data and metadata technology platforms and infrastructure, including the advancement of enterprise-scale analytics and data lake/warehouse solution along with associated data catalog/data quality program. • Champion emerging AI technologies and lead forums focused on engaging colleagues to jointly transform impactful innovation opportunities into plans of action across the enterprise. • Other duties as assigned The position is hybrid, with an expectation to work onsite at least 25% of the time. Candidates must be within commuting distance to San Diego, CA and able to work onsite at least 25% of the time, as needed based on need. (1 – 2 days week as needed onsite) U.S. Citizens and those authorized work in the U.S without sponsorship are encouraged to apply. Must be able to pass and clear background check and Drug Test prior to starting. If you are interested, please send me your updated Word Resume, along with your direct phone number and email.

Requirements