
201 - 500 employees
Founded 2014
💼 Consulting
🏥 Healthcare
🏭 Manufacturing
💰 $2.5M Seed Round on 2018-03
Consulting • Healthcare • Manufacturing
phData is a company specializing in providing data engineering, analytics, and cloud migration solutions. They offer services including AI and machine learning strategies, analytics and visualization, and elastic operations to help businesses build and operationalize modern data products and applications. phData is an elite partner of Snowflake and provides end-to-end consulting for developing modern data applications and processing vast datasets efficiently. They cater to industries such as healthcare, financial services, and manufacturing by optimizing data platforms and delivering actionable insights using cutting-edge technology and expertise.
🕒 July 29
🇺🇸 United States – Remote
⏰ Full Time
🟠 Senior
💻 Solutions Engineer
🦅 H1B Visa Sponsor
👻 Ghost score 46%
Where this job comes from
Posted on phData's careers page, not through a job board
First seen by Remote Rocketship July 29

201 - 500 employees
Founded 2014
💼 Consulting
🏥 Healthcare
🏭 Manufacturing
💰 $2.5M Seed Round on 2018-03
Consulting • Healthcare • Manufacturing
phData is a company specializing in providing data engineering, analytics, and cloud migration solutions. They offer services including AI and machine learning strategies, analytics and visualization, and elastic operations to help businesses build and operationalize modern data products and applications. phData is an elite partner of Snowflake and provides end-to-end consulting for developing modern data applications and processing vast datasets efficiently. They cater to industries such as healthcare, financial services, and manufacturing by optimizing data platforms and delivering actionable insights using cutting-edge technology and expertise.
• Grow and scale phData's Life Sciences - Commercial business across data, analytics, and AI • Lead go-to-market development for commercial offerings • Shape practical, high-value client solutions across market access, pricing and reimbursement, patient services, commercial operations, omnichannel, payer analytics, and gross-to-net • Evaluate and apply data, AI, and platform technologies to deliver business and patient value • Build relationships with commercial, analytics, and data leaders as a trusted advisor • Translate ambiguous client priorities into decisions, roadmaps, and business cases • Lead business development, shape proposals, lead client orals, support strategic pursuits, and expand existing accounts • Champion phData capabilities through thought leadership, client stories, and event content • Identify adjacent use cases and expansion opportunities with account and partner teams • Own and scale commercial accelerators through positioning, demos, solution briefs, client and partner conversations, and repeatable go-to-market motions • Partner with data, engineering, ML, and platform teams to keep solutions commercially relevant and technically feasible
• ~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 • 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 vendors, including claims, formulary, payer, real-world data, specialty pharmacy, hub, HCP/HCO, contracting, and GTN data • Technical fluency across tools such as Snowflake, Databricks, AWS, dbt, SQL, Python, R, SAS, Tableau, or Power BI • 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 such as patient support, provider analytics, or medtech commercial analytics
• Remote-first work environment • Equal opportunity and inclusive workplace • Disability accommodations available
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