Director, Product Management, Hereditary Cancer

Labcorp•Durham, NC

3d•$150,000 - $165,000•Hybrid

About The Position

Labcorp is seeking a Director, Product Management, Hereditary Cancer to join our team! This role leads product and portfolio lifecycle strategy, forecasting, and roadmap development. The Director will apply deep disease-domain expertise, regulatory insight, and strong business acumen to advance adoption and drive profitability, margin expansion, and overall portfolio performance. 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, and acting as a spokesperson for the product vision. The role also involves representing the customer voice, partnering with Marketing, and leading operational readiness for product launches and acquisitions. Additionally, the role incorporates AI-Enhanced Duties and Responsibilities, such as using AI tools for portfolio analysis, planning, and execution, leveraging AI-synthesized insights, enabling AI-driven intelligence sharing, and maintaining AI-powered agents and knowledge bases.

Requirements

Bachelor’s degree.
7 or more years’ experience in healthcare product management or portfolio strategy.
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.
Strategic thinking
Cross-functional leadership
Product lifecycle management & commercialization
Scientific and clinical fluency
Analytical and forecasting capability
Stakeholder influence
Operational and financial acumen
Competitive insight

Nice To Haves

Advanced degree (MS, MPH, MBA, or PhD).
5 or more years’ experience in genetic testing, hereditary cancer or oncology.

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.