Director Product Portfolio - Life Sciences
Listed on 2026-07-18
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Business
AI Business & Operations, Corporate Strategy, Business Analyst
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.
WhatYou 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.
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.
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