1

Executive Insurance Data Analytics Jobs in Massachusetts

... Executive Leadership Lead the development, alignment and maintenance of relevant and actionable KPI ... data sources and analytical tools Expertly manage external MSP and internal stakeholders to ...

Showing results 21-40

Executive Insurance Data Analytics information

How does an executive insurance data analytics typically collaborate with other departments to drive business decisions?

In the Executive Insurance Data Analytics role, collaboration with departments such as underwriting, claims, and product development is essential. You will regularly work with cross-functional teams to interpret complex data, identify trends, and provide actionable insights that support strategic business decisions. Clear communication and the ability to translate analytics into business terms are key, as you will often present findings to both technical and non-technical stakeholders. This collaborative approach not only helps improve operational efficiency but also ensures data-driven decision-making across the organization.

What are the key skills and qualifications needed to thrive as an executive insurance data analytics, and why are they important?

To excel as an Executive in Insurance Data Analytics, you need expertise in statistical analysis, data modeling, insurance industry knowledge, and often an advanced degree in data science or actuarial science. Familiarity with analytics platforms like SAS, SQL, Python, and business intelligence tools, as well as certifications such as CPCU or data analytics credentials, are typically required. Strategic thinking, leadership, and strong communication skills help drive insights and influence organizational decision-making. These skills are crucial for transforming complex data into actionable strategies that enhance profitability and manage risk in the insurance sector.

What is the difference between Executive Insurance Data Analytics vs Insurance Data Analyst?

AspectExecutive Insurance Data AnalyticsInsurance Data Analyst
Required CredentialsBachelor's or higher in Data Science, Statistics, or related field; experience in insurance analyticsBachelor's in Data Science, Statistics, or related field; entry to mid-level experience
Work EnvironmentStrategic, leadership-focused, often in management teamsOperational, data-focused, often in analytics teams
Employer & Industry UsageInsurance companies, consulting firms, risk management firmsInsurance companies, brokers, third-party analytics providers

Executive Insurance Data Analytics roles focus on strategic decision-making and leadership in insurance data projects, while Insurance Data Analysts handle data collection, analysis, and reporting at operational levels. Both roles require similar educational backgrounds but differ in scope and responsibility.

What is an executive insurance data analytics?

An Executive Insurance Data Analytics professional is a senior leader who oversees the collection, analysis, and interpretation of data to guide decision-making within insurance organizations. They leverage advanced analytics, data science, and business intelligence to identify trends, assess risks, and optimize business strategies. Their role often involves setting data strategy, ensuring data quality, and communicating insights to stakeholders to improve profitability and efficiency. They typically collaborate with IT, actuarial, underwriting, and claims teams to drive data-driven transformation across the company.
What are the most commonly searched types of Insurance Data Analytics jobs in Massachusetts? The most popular types of Insurance Data Analytics jobs in Massachusetts are:

Vice President Data Analytics & Insight

Verastem

Boston, MA • On-site

$315K - $375K/yr

Full-time

Re-posted 11 days ago


Job description

Position Summary


The Vice President, Market Data, Analytics & Insights is a high-impact role responsible for shaping andleading a best-in-class analytics capability that drives commercial performance and informs enterprisedecision-making. This leader will transform analytics from a reporting function into a strategicengine-delivering predictive insights, enhancing market understanding, and enabling data-drivengrowth across the organization. The role sits at the center of Commercial, Market Access, PatientServices, Medical Affairs, and Finance, serving as a trusted advisor to leadership and a critical enablerof performance.


Key Responsibilities
Commercial Analytics & Performance
Lead all analytics supporting Sales, Medical (where appropriate), Marketing, Market Access,
Patient Services, and Executive Leadership
Lead the development, alignment and maintenance of relevant and actionable KPI
frameworks, dashboards, and performance management systems to optimize commercial
excellence
Deliver actionable insights that identify growth opportunities, risks, and priorities
Partner with Commercial leadership to optimize targeting, segmentation, and resource
allocation


Data Strategy & Management
Own enterprise commercial data strategy (acquisition, integration, governance, and quality)
Maximize value of specialty pharmacy, claims, EMR, payer, provider, and patient-level data
Identify and deploy new data sources and analytical tools
Expertly manage external MSP and internal stakeholders to scalable, accurate and reliable
operations of the customer data infrastructure


Forecasting & Strategic Planning
Lead forecasting for marketed products and pipeline assets
Develop cross functional, integrated forecasting and strategic planning process to ensure
timely delivery of well aligned projections
Design, build and leverage appropriate models (patient, epidemiological or market based) to
guide supply chain, financial planning, solve business questions and drive insights
Support annual planning, long-range planning, and business reviews
Deliver scenario planning and sensitivity analyses to guide key decisions
Partner with Finance to align forecasts and assumptions


Market Intelligence & Competitive Insights
Build and lead a market intelligence capability
Track competitive landscape, clinical developments, and reimbursement trends
Translate insights into clear, actionable strategy recommendations
Support market analysis at all levels within the organization (e.g. forecasting, brand, executive,board, investor-facing, etc)


Customer & Market Insights
Lead primary and secondary market research
Generate insights across providers, patients, payers, and stakeholders
Identify unmet needs and evolving treatment dynamics
Partner cross-functionally to translate insights into action


Pipeline & Launch Support
Support commercialization planning for pipeline assets
Lead market sizing, patient flow, and launch readiness efforts
Inform development strategy through market insights
Support BD diligence and commercial evaluations


Analytics Transformation & Innovation
Build a culture of data-driven decision-making
Elevate analytics to a strategic, forward-looking capability
Automate reporting and enhance organizational efficiency
Drive adoption of advanced analytics, AI, and predictive modeling


Leadership
Build, scale, and lead a high-performing analytics organization
Set clear priorities, expectations, and development plans
Drive cross-functional alignment and collaboration
Serve as a core member of the Commercial Leadership Team
Set and manage appropriate budget to meet objectives


Qualifications
Required
Bachelor's degree required; advanced degree preferred (MBA, MS, MPH, PharmD or
equivalent)
15+ years of experience in biopharma, healthcare, consulting, or analytics
Proven leadership in commercial analytics, forecasting, or insights functions
Deep understanding of pharma data sources, patient journeys, and market dynamics
Proven ability to integrate data and generate insights from products distributed through hubs,
specialty pharmacies, and specialty distributors
Successful experience supporting specialty and/or oncology product launches
Demonstrated ability to influence senior leadership and drive enterprise decisions


Preferred
Experience supporting both commercial-stage and pipeline assets
Track record building or scaling analytics capabilities in a growth-stage biotech
Experience with advanced analytics, AI, and predictive modeling
Oncology and/or rare disease experience


Core Competencies
Strategic Thinking
Executive Presence
Business Acumen
Analytical Rigor
Cross-Functional Leadership
Preference for fast paced, performance driven organizations
Innovation & Continuous Improvement
Communication & Storytelling
Change Leadership
Results Orientation


The base salary range ($315,000 - $375,000) provided reflects our current estimate of what we anticipate paying for this position. Your actual base salary will be based on several factors, including job-related skills, experience, internal equity, relevant education or training, location, and market dynamics. In addition, you will be eligible for an annual bonus, equity compensation, and a competitive benefits package.