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Director Product Portfolio - Life Sciences

Job in Passaic, Passaic County, New Jersey, 07055, USA
Listing for: LexisNexis
Full Time position
Listed on 2026-07-18
Job specializations:
  • Business
    AI Business & Operations, Corporate Strategy, Business Analyst
Job Description & How to Apply Below

Director, Product Portfolio – Life Sciences

Lexis Nexis is seeking a Director, Product Portfolio – Life Sciences to lead portfolio strategy, investment planning, and product execution across our Life Sciences business. This leader will help shape the future of a next-generation regulatory intelligence, data management, workflow, and submission platform that enables customers to move faster, stay compliant, and operate with greater confidence across global markets.

This is not a single-product role. It is a portfolio leadership role for an experienced product executive who can connect customer outcomes, portfolio choices, platform strategy, and commercial impact. The Director will help drive the transformation of a historically fragmented product set into a more unified, scalable, customer-centric platform built around reusable capabilities and high-value workflows. The role will also help define how AI and automation are introduced responsibly in a highly regulated environment, with strong emphasis on explainability, auditability, and human oversight.

What

You Will Do
  • Lead the Life Sciences product portfolio strategy across regulatory intelligence, data, workflow, artifact generation, validation, and submission-related capabilities.

  • Translate a long-range portfolio vision into a pragmatic, staged roadmap tied to measurable customer and business outcomes.

  • Define and prioritize the highest-value customer problems to solve, especially where better regulatory change detection, impact assessment, workflow orchestration, and compliant execution can create meaningful differentiation.

  • Drive product portfolio rationalization and consolidation, ensuring overlapping capabilities are simplified, modernized, or absorbed into a more coherent platform experience rather than expanded in parallel.

  • Partner closely with Engineering, Architecture, Design, Data/AI, Services, Sales, Customer Success, and senior business leaders to align strategy, sequencing, tradeoffs, and execution.

  • Establish clear portfolio investment priorities and product operating rhythms, including annual planning, roadmap governance, business cases, KPI tracking, and outcome reviews.

  • Champion a product model that balances customer-centric experiences above the surface with shared capabilities below the surface, including data models, validation, workflow/state management, integration, analytics, and AI services.

  • Shape the Life Sciences AI strategy in partnership with technical leaders, with a focus on intelligent workflows, explainable decision support, governed automation, and future agentic capabilities that operate safely inside regulated processes.

  • Work directly with customers and prospects to understand regulatory operations pain points, validate product-market fit, and ensure the roadmap is grounded in real-world workflows across labeling, submissions, compliance, and lifecycle change management.

  • Build clarity where complexity exists: turn broad themes and fragmented backlogs into a focused strategy with explicit choices, sequencing, ownership, and expected impact.

  • Lead, coach, and elevate product managers and cross-functional teams, while setting a high bar for strategic thinking, customer empathy, analytical rigor, and execution discipline.

What Success Looks Like

Within the first 12 months, this leader will be expected to:

  • Create a sharper, more coherent Life Sciences portfolio strategy tied to a small number of high-value customer outcomes.

  • Translate that strategy into a credible 12–24 month roadmap that balances revenue protection, platform modernization, and differentiated growth bets.

  • Improve alignment across Product, Engineering, and Commercial teams by making tradeoffs explicit and tying investments to business value.

  • Advance the consolidation of legacy and overlapping capabilities into a more unified platform model.

  • Help bring to market customer-visible capabilities that demonstrate progress toward the long-term platform vision, while also strengthening the underlying architecture and operating model.

  • Establish stronger portfolio metrics around customer value, speed, adoption, retention/expansion, capability reuse, and roadmap execution.

Qualif…
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