Data Analytics Lead Remote Jobs in Oregon (NOW HIRING)

We are looking for a Commercial Strategy & Solutions Leader to help grow and scale phData's Life Sciences business across data, analytics, and AI.

In this role, you will lead go-to-market development for our commercial offerings while staying close enough to delivery to shape practical, high-value client solutions. Your work will span market access, pricing and reimbursement, patient services, commercial operations, omnichannel, payer analytics, and gross-to-net.

You will spend most of your time shaping market-facing offerings, supporting strategic pursuits, and advising clients. You will also own the development of phData's commercial accelerators-defining what they are, what they are worth, and what they need to succeed.

• Drive customer outcomes by staying focused on client goals and applying the right data, AI, and platform capabilities to create measurable business and patient value.
• Sharpen where phData can credibly win by combining deep commercial domain knowledge with data, analytics, AI, and cloud capabilities.
• Serve as a trusted advisor to commercial, analytics, and data leaders, helping clients turn ambiguous priorities into clear decisions, roadmaps, and business cases.
• Lead business development that expands phData's commercial footprint in life sciences, including shaping proposals, leading client orals, supporting strategic pursuits, and growing existing accounts against shared revenue goals.
• Champion phData's commercial capabilities in the market through thought leadership, client stories, event content, and other credibility-building activities.
• Identify adjacent use cases and expansion paths with account and partner teams, turning successful delivery into broader account growth.
• Own the development of phData's commercial accelerators by defining their value proposition, positioning, and requirements while partnering closely with the teams responsible for building them.
• Scale commercial offerings across accounts through demos, solution briefs, client and partner conversations, and repeatable go-to-market motions.
• Feed field and client feedback into the accelerator roadmap so offerings become easier to sell, deploy, and expand over time.
• Partner with data, engineering, ML, and platform teams to ensure solutions remain both commercially relevant and technically feasible.

• A stronger commercial life sciences pipeline driven by sharper offerings and more effective pursuit support.
• Higher win rates and stronger account expansion through domain-led solutioning.
• A growing library of repeatable accelerators, demos, and packaged assets that become easier to deploy, demonstrate, and scale over time.
• Tighter alignment between market demand, the solution roadmap, and delivery execution.
• A faster path from client pain point to scalable solution concept to delivered value.

You move fluidly between strategy and execution. You are credible in executive conversations and practical enough to dive into use cases, requirements, and delivery tradeoffs when needed. You understand how commercial organizations operate, how data and analytics support decision-making, and where AI creates real value versus noise. You are energized by building, packaging, and scaling solutions-not just advising on them.

• 10+ years of experience in life sciences, including 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, such as 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.
• Track record of contributing to client pursuits, proposals, workshops, or strategic account growth.
• Comfort operating in ambiguity, structuring problems, and moving from concept to execution.
• Strong communication skills, including clear narrative development, solution framing, and executive-ready materials.

• Experience across both industry and consulting, services, or 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 gross-to-net data through platforms such as IQVIA, Komodo, Symphony, MMIT, Clarivate/DRG, Definitive Healthcare, Veeva CRM and Network, or Salesforce Life Sciences Cloud.
• Technical fluency across tools such as Snowflake, Databricks, AWS, dbt, SQL, Python, R, SAS, Tableau, or Power BI. You do not need to be hands-on in all of them, but you should be able to 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 such as patient support, provider analytics, or medtech commercial analytics.