Associate Director, Data Product Owner Tech Ops and G&A

Jazz PharmaceuticalsUS - Home-Based - PA, PA
$153,600 - $230,400Remote

About The Position

Jazz Pharmaceuticals is a global biopharma company focused on innovating to transform the lives of patients and their families by developing life-changing medicines for serious diseases. This role is for a strategic and technically adept TechOps and G&A Functions Data Product Owner to drive the identification and delivery of strategic data and AI products. The role supports Tech Ops (Manufacturing, Supply Chain, Quality) and G&A Functions (Finance, HR, Legal, Procurement). The data product owner is embedded in the Data & AI team and ensures Data & AI product delivery is streamlined, aligned with organizational goals, user-centric, and delivers measurable value. This individual will help drive adoption and use of D&A services and products across the organization. The role is pivotal for culture and change management, fostering collaboration among business stakeholders, decision makers, process modelers, and D&A developers. The ideal candidate combines a passion for data, analytics and AI, strong soft skills, technical understanding, and domain knowledge to create business value through data-driven change. Pharma or biotech experience in TechOps and/or G&A Functions is ideal.

Requirements

  • Proven ability to drive business and financial outcomes of data and AI solutions.
  • Experience in business process design, change management and cross-functional collaboration.
  • Proven ability to manage cross-functional teams and drive stakeholder alignment.
  • Strong understanding of modern data stacks, cloud platforms (especially AWS), and data governance principles.
  • Excellent communication and stakeholder management skills.
  • Strong project management experience including familiarity with Agile/Scrum methodologies.
  • Strategic thinking and problem solving skills, especially in collaborative, cross functional teams.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, or related field.
  • 7+ years of experience in data and AI product management, data or AI project delivery, or related roles.

Nice To Haves

  • Relevant pharma or biotech experience specifically in the areas of TechOps and/or G&A Functions.

Responsibilities

  • Support TechOps and G&A business stakeholders and Center of Excellence Leads through all stages of a product lifecycle including: inspiration (identifying and prioritizing use cases), ideation (prototyping and business case development), and implementation (adoption, workflow integration, impact measurement, and sharing outcomes).
  • Partner closely with the functional Center of Excellence (COE) leads to define data and AI strategic roadmap aligned with enterprise capabilities and functional strategic needs.
  • Liaise with Data Governance Lead to maintain data quality, lineage, and stewardship accountability.
  • Collaborate with Enterprise Data Architect capability team to optimize existing architecture and streamline support of live products.
  • Partner with Enterprise AI Capability team to maximize enterprise AI capability investments and to collaboratively evolve capability roadmap ahead of business needs.
  • Define and communicate the vision, strategy, and roadmap for data products in alignment with enterprise data strategy and business objectives.
  • Track business outcomes achieved through data and AI initiatives, focusing on impact, value measurement, customer satisfaction, and adoption metrics.
  • Translate business needs into actionable data product requirements and prioritize features based on impact and feasibility.
  • Facilitate cross-functional collaboration to ensure data products meet user needs and drive adoption.
  • Manage product backlogs, sprint planning, and iterative delivery in Agile environments.
  • Lead user acceptance testing and gather user feedback to refine and enhance data products iteratively, fostering continuous improvement.
  • Collaborate with governance, risk and security teams to ensure that data products comply with relevant laws and regulations, particularly those related to data privacy and security.
  • Conduct market research and competitive analysis to identify opportunities for innovation and differentiation in data product offerings.
  • Drive adoption aligned to regulatory and governance requirements.
  • Improve operational efficiency and performance through data and AI.
  • Ensure compliance with regulated operational and corporate processes.
  • Monitor product performance using KPIs and user feedback.

Benefits

  • medical, dental and vision insurance
  • 401k retirement savings plan
  • flexible paid vacation
  • discretionary annual cash bonus or incentive compensation
  • discretionary equity grants
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