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Product Director – Data and AI/ML Platforms - Evinova

AstraZeneca

$167,772 - $251,658
Sep 17, 2025
Gaithersburg, MD, US
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Evinova, a new Health-tech business subsidiary of AstraZeneca, is looking to solve longstanding life sciences challenges by harnessing the power of digital and AI to transform patients' lives. They aim to deliver market-leading digital health solutions that are science-based, evidence-led, and human experience-driven, creating new standards across the healthcare sector.

Requirements

  • Deep understanding of data architectures, pipelines, integrations, cloud platforms, and data management frameworks.
  • Familiarity with AI/ML workflows, including enablement of ML Ops in complex health data environments.
  • Experience with clinical and operational pharmaceutical datasets, interoperability challenges, and regulatory requirements.
  • 5+ years of experience as a Product Director in a SaaS environment.
  • Demonstrated success leading product strategy and platform delivery for data-centric SaaS solutions, ideally in life sciences or clinical research.
  • Advanced product management capabilities in a regulated, technical environment, setting high standards across product discovery, strategic alignment, delivery excellence, and responsible innovation.
  • 8+ years of experience as a Product Director in a SaaS environment.

Responsibilities

  • Shape Vision & Strategy: Articulate and drive strategic direction for Evinova’s data and AI/ML platforms, balancing short-term priorities with long-term business and technology goals.
  • Lead Roadmap & Delivery: Own and evolve the roadmap for our data and AI/ML platforms, guiding product enhancements in data ingestion, architecture, integrations, and client data delivery.
  • Champion Data Excellence: Influence technical solutions for secure, scalable data management and integrations—ensuring data quality, platform interoperability and regulatory compliance for clinical and operational datasets.
  • Enable Analytics & AI/ML: Support the platform’s capacity to deliver and operationalize advanced analytics and machine learning, including ML Ops capabilities for data-driven decision making.
  • Drive Collaboration & Stakeholder Alignment: Engage with cross-functional agile teams and external partners to refine requirements, set priorities, and ensure outcomes that meet business and user needs.
  • Promote Commercial Success: Leverage strong product and domain knowledge to increase customer value, product adoption, and business impact for pharmaceutical clients.
  • Measure & Optimize: Define and track product metrics related to platform adoption, integration performance, data quality, and customer satisfaction—driving continuous improvement.

Other

  • Engaging face-to-face in our offices 3 days a week.
  • Advanced skills in stakeholder communication, business case development, and product discovery—able to shape and align cross-functional teams around ambitious goals.
  • Strong analytical mindset, outcome orientation, and commitment to continuous learning.
  • Bachelor’s degree in computer science, engineering, life sciences, or related field, or equivalent relevant experience.
  • Master’s degree in computer science, engineering, life sciences, or related field, or equivalent relevant experience.