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phData

Managed data engineering and ML solutions

Life Sciences Strategy & Solutions Lead

Strategy & Management ConsultingConfirmed live in the last 24 hours
Full-timeRemote in USANo salary listedRemote

About the Job

Requirements

  • Approximately 10 or more years in life sciences, including meaningful experience in commercial-domain roles, consulting, data and analytics, solution leadership, or adjacent commercial transformation work.
  • Strong working knowledge of at least one commercial domain: 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 artificial-intelligence-enabled solutions for life sciences clients.
  • Ability to engage business and technical stakeholders and translate commercial priorities into technical approaches.
  • A track record in client pursuits, proposals, workshops, or strategic account growth.
  • Ability to operate in ambiguity, structure problems, and move from concept to execution.
  • Ability to develop clear narratives, frame solutions, and create executive-ready materials.

Responsibilities

  • Evaluate and apply appropriate data, artificial intelligence, and platform technologies to deliver business and patient value, pairing commercial-domain knowledge with data, analytics, artificial-intelligence, and cloud capabilities.
  • Build relationships with commercial, analytics, and data leaders; advise clients and translate ambiguous priorities into decisions, roadmaps, and business cases across market access, pricing and reimbursement, patient services, commercial operations, omnichannel, payer analytics, and gross-to-net.
  • Lead business development to grow the commercial life sciences footprint by shaping proposals, leading client presentations, supporting strategic pursuits, and expanding existing accounts against shared revenue goals.
  • Champion capabilities in the market and contribute thought leadership, client stories, and event content for commercial buyers.
  • Work with account and partner teams to identify adjacent use cases, develop a backlog of opportunities, and expand accounts from successful delivery.
  • Own the development of commercial offerings by defining their scope, value, and success requirements, while working with the dedicated team building them to keep development aligned with commercial intent.
  • Scale offerings across accounts through positioning, demonstrations, solution briefs, client and partner conversations, and repeatable go-to-market motions.
  • Feed field and client input into the accelerator roadmap to improve the sellability, deployment, and expansion of successful offerings.
  • Partner with data, engineering, machine-learning, and platform teams to keep solutions commercially relevant and technically feasible.

Desired Qualifications

  • Experience in both industry and consulting, services, or solution environments.
  • Depth in commercial intelligence platforms, payer analytics, patient access, field force analytics, or artificial-intelligence-enabled commercial workflows.
  • Direct experience with pharmaceutical 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 vendors, including claims, formulary, payer, real-world data, specialty pharmacy, hub, HCP/HCO, contracting, and gross-to-net data; IQVIA, Komodo, Symphony, MMIT, Clarivate/DRG, Definitive Healthcare, Veeva CRM and Network, or Salesforce Life Sciences Cloud.
  • Technical fluency across Snowflake, Databricks, AWS, dbt, SQL, Python, R, SAS, Tableau, or Power BI, and the ability to lead credible cross-functional conversations across business, data, analytics, machine-learning, and platform teams.
  • Experience packaging reusable offerings, accelerators, or market-facing assets.
  • Co-selling or joint-solution experience with cloud, data, or application vendors.
  • Exposure to adjacent domains such as patient support, provider analytics, or medtech commercial analytics.

About the Company

phData

Managed data engineering and ML solutions

phData provides data engineering, data strategy, and machine learning solutions through end-to-end managed services and consulting for enterprises. It delivers cloud data engineering, data migrations, business intelligence, and ML applications by combining data infrastructure automation with analytics and AI strategy in project-based engagements and ongoing support. It differentiates itself by offering full, service-led delivery focused on sustainable data engineering practices and strong customer success, plus its status as an AWS consulting partner with specialized cloud analytics and ML expertise on AWS. Its goal is to help clients turn data into actionable insights and sustainable growth by building scalable data platforms and AI systems guided by clear roadmaps.

Company size
501-1,000
Company stage
Seed
Total funding
$2.5M
Headquarters
Minneapolis, MN
Founded
2014

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