Description
Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.
We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.
Role Overview
We are looking for a Commercial Life Sciences leader to help grow and scale phData's Life Sciences - Commercial business across data, analytics, and AI.
You'll lead go-to-market development for our commercial offerings while staying close enough to delivery to shape practical, high-value client solutions - across market access, pricing and reimbursement, patient services, commercial operations, omnichannel, payer analytics, and gross-to-net.
What You'll Do
- Drive Customer Outcomes. Stay relentlessly focused on the client's end goals, evaluating and applying the right data, AI, and platform technologies to deliver tangible business and patient value.
- Serve as a Trusted Advisor. Build strong relationships with commercial, analytics, and data leaders and act as a credible thought partner.
- Drive Sales & Industry Growth. Lead business development that grows phData's commercial footprint across life sciences - shaping proposals, leading client orals, supporting strategic pursuits, and expanding existing accounts against shared revenue goals.
- Identify Expansion Opportunities. Work with account and partner teams to surface adjacent use cases, capture a backlog of next-step opportunities, and turn successful delivery into broader account growth.
- Own & Scale phData's Commercial Accelerators. Own the development of the commercial offerings themselves - defining what they are, what they're worth, and what they need to succeed - while a dedicated team builds them and you stay close enough to keep each build true to the commercial intent.
What Success Looks Like
- A stronger commercial life sciences pipeline, driven by sharper offerings and more effective pursuit support
- Higher win rates and better account expansion through domain-led solutioning
- A growing library of repeatable accelerators, demos, and packaged assets - offerings that get easier to deploy, demonstrate, and scale over time
- Tighter alignment between market demand, the solution roadmap, and delivery
- A faster path from client pain point to scalable solution concept to delivered value
Who You Are
You move fluidly between strategy and execution. You're credible enough to hold executive conversations and shape go-to-market direction, and practical enough to dive into use cases, requirements, and delivery tradeoffs when the work calls for it.
Required Qualifications
- ~10+ years in life sciences, with meaningful time in commercial domain roles, consulting, data and analytics, solution leadership, or adjacent commercial transformation work
- Strong working knowledge of one or more commercial domains: commercial analytics, market access, pricing and reimbursement, patient services, field analytics, omnichannel, commercial operations, or gross-to-net
- Experience shaping and selling data, analytics, digital, or AI-enabled solutions for life sciences clients
- Ability to engage both business and technical stakeholders and translate between commercial priorities and technical approaches
- A track record in client pursuits, proposals, workshops, or strategic account growth
- Comfort operating in ambiguity - structuring problems and moving from concept to execution
- Strong communication: clear narratives, solution framing, and executive-ready materials
Preferred Qualifications
- Experience across both industry and consulting/services/solution environments
- Depth in commercial intelligence platforms, payer analytics, patient access, field force analytics, or AI-enabled commercial workflows
- Direct experience with pharma commercial work such as launch planning, brand performance, segmentation and targeting, next-best-action, or omnichannel analytics
- Familiarity with life sciences commercial data sources and the vendors behind them: claims, formulary, payer, real-world data, specialty pharmacy, hub, HCP/HCO, contracting, and GTN data, via IQVIA, Komodo, Symphony, MMIT, Clarivate/DRG, Definitive Healthcare, Veeva (CRM and Network), or Salesforce Life Sciences Cloud
- Technical fluency across tools like Snowflake, Databricks, AWS, dbt, SQL, Python, R, SAS, Tableau, or Power BI - you don't need to be hands-on in all of them, but you should lead cross-functional conversations across business, data, analytics, ML, and platform teams with credibility
- Experience packaging reusable offerings, accelerators, or market-facing assets
- Co-sell or joint-solution experience with cloud, data, or application vendors
- Exposure to adjacent domains: patient support, provider analytics, or medtech commercial analytics