SVP, Data Product & Insights - Life Sciences

Arcadia•Washington, DC

6d•$260,000 - $300,000

About The Position

Arcadia is dedicated to happier, healthier days for all. We believe that there is a better healthcare world â one powered by data. Our platform transforms complex, diverse data into a unified foundation for health, helping organizations deliver better care, boost revenue, and lower costs. Weâre a team of fiercely driven individuals committed to making healthcare more sustainableâand weâre looking for passionate people to help us get there. For more information, visit arcadia.io. Why This Role Is Important to Arcadia The Senior Vice President, Data Product & Insights is the senior-most executive accountable for defining, shaping, and building Arcadiaâs Life Sciences data products and insights for commercialization. This is not a portfolio-only or purely strategic role. Arcadia is seeking an executive who wants to stay close to the workâsomeone who combines enterprise-level ownership with direct, hands-on engagement in the most critical data, product, and commercial decisions. Arcadia has built a highly differentiated real-world data asset spanning longitudinal claims, deep clinical EHR data, labs, and unique connectivity to provider workflows. The next phase of Life Sciences growth depends on translating that complexity into clear, analytically rigorous, and market-ready data products that are easy to understand, easy to evaluate, and easy to sell. At the SVP level, this role carries end-to-end accountability for how Life Sciences data is brought to market, including how it is: Defined and modeled Exposed through insight and visualization tools Packaged and priced Positioned in the market The SVP will set direction and build the operating modelâwhile remaining deeply involved in the highest-leverage work, including data model design, product definition, pricing tradeoffs, and support for Arcadiaâs most strategic deals. A critical component of this role is translating Arcadiaâs existing analytics, insight, and data visualization platformsâoriginally built for value-based careâinto Life Sciencesâready products and workflows that resonate with pharma, biotech, and data-driven buyers. What Success Looks Like In 3 months - Develop a deep understanding of Arcadiaâs Life Sciences strategy, data assets, GTM motion, and revenue targets. - Establish strong executive-level relationships across Product, Data Engineering, Commercial, Partnerships, Legal, and Operations. - Assess the current Life Sciences data product portfolio, analytics workflows, and insight surfaces, identifying gaps and near-term priorities. - Initiate hands-on data model design and refinement, partnering closely with Engineering on near- and long-term Life Sciences data roadmap planning. In 6 months - Deliver a clear, revenue-aligned Life Sciences data product and insights roadmap, tied to FY26 GTM and growth priorities. - Improve feasibility, cohorting, and analytical workflows to reduce deal friction and accelerate sales cycles. - Adapt Arcadiaâs existing dashboards and analytics tools to support LS use cases such as feasibility analysis, data exploration, and commercial storytelling. - Personally engage in priority enterprise and channel deals as the executive authority on Life Sciences data and insights. In 12 months - Arcadia has a focused set of well-articulated, insight-driven Life Sciences data products with clear differentiation and pricing logic. - Sales cycles are measurably shorter due to clearer product definitions, stronger analytical proof points, and more effective use of insight surfaces. - The SVP is recognized by the executive team as the clear owner of Life Sciences data product and insight strategy, with direct impact on revenue growth and pricing discipline.

Requirements

15+ years of experience in life sciences data, real-world data, analytics, or data product leadership.
Deep, hands-on experience working with claims, EHR, labs, and clinical event data models.
Proven ability to work directly with engineering teams on data pipelines, schemas, and analytic readiness.
Experience owning externally facing data products and executive-level product and commercial decisions.
Strong commercial instinct and experience supporting selling, pricing, and value articulation of data products.
Executive presence and ability to influence across a complex, fast-growing organization.

Nice To Haves

Experience scaling data or analytics products in a SaaS or platform-based business.
Familiarity with data marketplaces, channel partnerships, and enterprise licensing models.
Experience translating internal analytics or dashboards into externally facing, customer-ready products.
Experience partnering with legal and compliance teams on data-use rights and governance.

Responsibilities

OWN LIFE SCIENCES DATA PRODUCT STRATEGY & DELIVERY
Own enterprise-level accountability for the definition, differentiation, and market readiness of Arcadiaâs Life Sciences data products.
Translate pharma, biotech, and commercial LS use cases into clear data models, schemas, and product requirements.
Drive clear decision-making for Life Sciences data product scope, sequencing, and tradeoffsâbalancing engineering complexity, speed, and commercial value.
Ensure tight alignment between Life Sciences data products and Arcadiaâs core platform roadmap.
PARTNER CLOSELY WITH ENGINEERING ON DATA MODELS & PIPELINES
Work directly and regularly with data engineering and platform teams on pipelines, data models, refresh cadence, and metadata.
Act as a hands-on product counterpart to engineeringâreviewing outputs, validating assumptions, and ensuring analytical usability for LS buyers.
Establish and enforce Life Sciences data product priorities across engineering teams, ensuring LS needs are reflected in core roadmap decisions.
TRANSLATE ARCADIA INSIGHTS & VISUALIZATION PLATFORMS FOR LIFE SCIENCES
This work focuses on translating underlying data models into credible, externally facing insight experiencesânot building UI for its own sake.
Own the adaptation of Arcadiaâs existing analytics, dashboards, and data visualization tools (e.g., Foundry/Vista) for Life Sciences use cases.
Repurpose insight surfaces to support: Feasibility and cohort exploration; Therapeutic-areaâspecific data characterization; Commercial and scientific storytelling for LS customers
Identify where existing tools fall short and define targeted enhancements, rather than relying solely on net-new platforms.
Ensure LS-facing insights accurately reflect underlying data models and stand up to external customer and partner scrutiny.
ENSURE INSIGHTS DIRECTLY ENABLE PRODUCT & SELLING
Ensure analytics and insight work is explicitly oriented toward product definition and revenue enablement, not standalone research.
Develop repeatable insight frameworks that clearly communicate where Arcadiaâs data is strongest by therapeutic area and use case.
Personally support the most strategic enterprise deals and partnerships as the senior data and analytics authority, especially in late-stage sales cycles.
OWN PRICING & VALUE ARTICULATION STRATEGY
Own executive accountability for Life Sciences data pricing and packaging strategy, in close partnership with Commercial and Finance.
Ground pricing, tiering, and premium SKU decisions in data depth, differentiation, and demonstrated customer value.
Help shift Life Sciences selling from bespoke analysis toward productized, value-based offerings with strong pricing discipline.
BUILD THE TEAM & OPERATING MODEL
Build and lead a high-performing Life Sciences data product and analytics organization, including direct and dotted-line leadership across teams.
Establish clear operating rhythms, KPIs, and prioritization frameworks tied directly to revenue and growth outcomes.
Serve as a connective executive across Product, Data, Ops, Legal, and Commercial teams to prevent execution gaps.