Director, Product Management (Emerging Segments)

Labcorp•Durham, NC

6d•$150,000 - $165,000•Hybrid

About The Position

Labcorp is seeking a Director, Product Management, Emerging Segments to join their team. This role is responsible for leading product and portfolio lifecycle strategy, forecasting, and roadmap development. The individual will apply deep disease-domain expertise, regulatory insight, and strong business acumen to advance adoption and drive profitability, margin expansion, and overall portfolio performance. Key responsibilities include monitoring scientific, regulatory, and competitive developments, leading the development of product business cases, serving as the commercial representative for assigned products, managing strategic partnerships, acting as a spokesperson for the product vision, representing the customer voice, and partnering with Marketing to support differentiation strategy. Additionally, the role involves leading operational readiness for product launches and acquisitions. A significant aspect of this role includes AI-Enhanced Duties, where the Director will use AI tools to accelerate portfolio analysis, planning, and execution, leverage AI-synthesized insights for decision-making, enable AI-driven intelligence sharing, and maintain AI-powered agents and knowledge bases. The candidate must reside in the Boston, MA; Madison, WI; San Diego, CA; or Durham/Burlington, NC areas, located near a Labcorp hub. Applicants near Burlington or Durham, NC will follow a hybrid schedule.

Requirements

Bachelor’s degree.
7 or more years’ experience in product management or portfolio strategy in Diagnostics, Pharma or Life Sciences.

Nice To Haves

Advanced degree (MS, MPH, MBA, or PhD).
3 or more years’ experience as a sales hunter in Diagnostics, Pharma or Life Sciences.
Experience with diagnostics commercialization and regulatory pathways.
Experience with market access/payor policies for diagnostics.
Forecasting & Pricing experience.
Experience applying AI to accelerate product-management workflows, business-case drafting, competitive and regulatory monitoring, forecasting input preparation, or launch-readiness coordination, with clear judgment about where AI adds value and where human expertise must lead.
Comfort configuring, prompting, and maintaining purpose-built AI agents or assistants for recurring team workflows, including setting guardrails, reviewing outputs, and keeping a human accountable for every recommendation.
Demonstrated ability to use AI-synthesized market, scientific, and competitive intelligence to strengthen portfolio decisions and cross-functional alignment, while treating AI output as a contributor to, never the source of, strategy.
Experience using AI to standardize artifacts, terminology, and handoffs across adjacent marketing disciplines (Product Management, Solution Marketing, Customer Marketing) to support consistent, cross-team execution.

Responsibilities

Lead product and portfolio lifecycle strategy, forecasting, and roadmap development.
Apply deep disease-domain expertise, regulatory insight, and strong business acumen to advance adoption and drive profitability, margin expansion, and overall portfolio performance.
Monitor scientific, regulatory, and competitive developments to inform portfolio direction.
Lead development of product business cases, including market sizing and growth projections, total cost estimation, business goals, operational workflows, outcomes, and functional requirements.
Serve as the commercial representative for assigned products across scientific, operational, and market access teams.
Manage strategic partnerships that expand product capabilities, drive distribution, and unlock new revenue streams.
Serve as a spokesperson who clearly articulates the product vision to partners and internal teams.
Represent customer voice in strategic committees and facilitate alignment on product evolution, pricing, and go-to-market strategy.
Partner with Marketing to support differentiation strategy and thought leadership priorities.
Lead and ensure operational readiness for product launches and acquisitions.
Use AI tools and agents to accelerate portfolio analysis, planning, and execution while maintaining accountability for decisions.
Leverage AI-synthesized scientific, regulatory, competitive, and customer insights to support portfolio decision-making.
Enable AI-driven intelligence sharing across functions to improve alignment and execution throughout the customer lifecycle.
Maintain AI-powered agents, templates, and knowledge bases that ensure consistent portfolio messaging, insights, and collaboration across teams.