Senior Director, Data Product Delivery

Fujifilm•Morrisville, NC

About The Position

Shape the future of data and AI at enterprise scale. As our Senior Director, Data Product Delivery, you’ll be the executive heartbeat behind our most strategic, regulated data products—turning contract commitments into audit-ready solutions that deliver measurable value for our customers. You’ll define how we deliver globally, set the standards and release gates that keep us safe and compliant, and lead cross-functional teams to outcomes that accelerate our digital, data, and AI transformation. The work we do at FUJIFILM Biotechnologies has never been more important—and we are looking for talented candidates to join us. We are growing our locations, our capabilities, and our teams, and looking for passionate, mission-driven people like you who want to make a real difference in people’s lives. Join FUJIFILM Biotechnologies and help make the next vaccine, cure, or gene therapy in partnership with some of the most innovative biopharma companies across the globe. We are proud to cultivate a culture that will fuel your passion, energy, and drive - what we call Genki. Fujifilm is globally headquartered in Tokyo with over 70,000 employees across four key business segments of healthcare, electronics, business innovation, and imaging. We are guided and united by our Group Purpose of “giving our world more smiles.” Visit: https://www.fujifilm.com/us/en/about/region/careers

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, Business, or related field (required)
Certifications: PgMP or PMP (required)
12+ years of progressive product/program/portfolio delivery in technology, including 8+ years leading global product delivery or PMO functions
Proven success delivering complex, multi‑stakeholder data and AI/analytics products at enterprise scale, including customer‑facing engagements and vendor/partner ecosystems
5+ years in data/analytics/AI domains with working knowledge of data architectures, data platforms, MLOps/ModelOps, and data governance
10+ years managing, leading, and developing people
Hands‑on experience operating in regulated, quality‑driven environments (e.g., life sciences, healthcare) with strong compliance outcomes (GxP, GDPR/data privacy, AI ethics, ISO/ITGC)
Track record driving digital transformation, including data and AI adoption and literacy
Executive presence with experience briefing senior stakeholders, chairing steering committees, and leading cross‑functional decision forums
Proficiency with PPM and delivery tools (e.g., ServiceNow, Smartsheet, Azure DevOps), analytics/BI (e.g., Power BI/Tableau), and collaboration platforms; familiarity with Planner or similar

Nice To Haves

Advanced degree strongly preferred (e.g., MBA, MSc)
Additional certifications preferred: Agile/SAFe (e.g., POPM), Lean Six Sigma (Green/Black Belt); product management certification (e.g., Pragmatic/PMC) is a plus
Advanced degree (MBA, MSc)
Agile/SAFe and Lean Six Sigma certifications; product management certification (Pragmatic/PMC or equivalent)
Deep experience in highly regulated industries (life sciences/biopharma, healthcare) and audit‑ready delivery (GxP/CSV, GDPR/data privacy, AI governance)
Leading global, matrixed teams and vendor/partner ecosystems to deliver customer‑facing data products
Implementing MLOps/ModelOps and data governance at scale, including AI risk management and guardrails
Portfolio financial management, business casing, cost‑to‑serve optimization, and SOW/vendor management

Responsibilities

Be the executive face of digital, data, and AI for strategic customers: chair governance and steering forums, keep communication transparent, and lock outcomes to client objectives in partnership with global program managers.
Orchestrate end‑to-end delivery of customer data products: from scoping and contracting through discovery, build, validation, deployment, and sustainment—hitting agreed quality bars and value targets every time.
Turn the portfolio into clear executive insight: deliver crisp reporting on status, risks, financials, and outcomes to senior leadership and customer stakeholders.
Set the playbook for delivery excellence: champion the right methodology for the mission—Agile, Waterfall, or hybrid—tailored to data and AI initiatives with the strategy team.
Optimize capacity to maximize impact: plan resources, prioritize demand, and balance a global data/analytics/AI portfolio to protect timelines and value.
Build a powerhouse team: lead and coach senior contributors across sites, set vision and priorities, drive engagement, and deliver outcomes on-time and on-budget—while growing careers and fostering a high‑performance, compliant culture.
Make compliance a competitive advantage: partner with IT Compliance to embed GxP/CSV, GDPR/data privacy, AI ethics/guardrails, and corporate quality standards across every project activity.
Keep programs on the rails: track milestones, interdependencies, and critical paths; run portfolio tooling and dashboards; synthesize insights for leadership and customer reporting.
Ignite AI fluency and adoption: lead internal initiatives that raise AI literacy, strengthen governance, and scale responsible AI practices across the organization.
And more as we grow: jump on high‑impact opportunities that protect operations, elevate customer satisfaction, and unlock new value.