VP Sales

Role- VP Sales
Location- Remote
Duration - Fulltime

 

Job Description
We are seeking an accomplished Vice President of Data & AI Sales to lead revenue growth across our Insurance Markets practice, with a focus on Life & Annuities, Group Benefits, and Property & Casualty segments. This senior individual contributor and team leadership role is accountable for driving new logo acquisition, expanding existing client relationships, and positioning our advanced data, analytics, and AI capabilities as transformative solutions.

The ideal candidate brings 15+ years of consulting sales or client engagement experience in data and AI services — with deep fluency in insurance industry dynamics, enterprise buying cycles, and the strategic priorities of C-suite stakeholders including CDOs, CIOs, CTOs, and Chief Actuary officers.

Responsibilities
Revenue Growth & Pipeline Development:

Own and exceed annual revenue targets for Data & AI solutions across assigned insurance accounts and territories
Build and manage a robust qualified pipeline; drive opportunities from origination, forecasting through closure. 
Lead proposal development, solution design workshops, and executive-level presentations for strategic pursuits
Partner with delivery, pre-sales, and SME teams to craft differentiated, ROI-driven value propositions
Client Engagement & Relationship management

Build and sustain C-level relationships across underwriting, claims, actuarial, finance, and operations functions
Lead executive business reviews, strategic account planning sessions, and multi-year roadmap conversations
Proactively identify cross-sell and upsell opportunities within the existing client portfolio
Serve as a trusted advisor to senior insurance executives, translating business challenges into data and AI solution strategies
Insurance & Domain Expertise

Drive sales within Life & Annuities, Group Benefits, and Property & Casualty segments.
Maintain a strong understanding of the insurance value chain (underwriting, claims, policy administration). 
Leverage domain expertise to align Data & AI offerings with regulatory, risk, and operational requirements.
Build credibility as a trusted advisor to insurers navigating digital and AI transformation.
Stay current on industry trends: predictive underwriting, AI-driven claims automation, fraud analytics, GenAI in policy servicing, and embedded insurance solutions and proposals
Account Expansion and Governance:

Ensure seamless transition from sales to delivery, maintaining client satisfaction
Drive renewals, annuity revenue, and long-term managed services opportunities
Implement structured deal reviews, pipeline reviews, and risk management frameworks
Data/ AI leader to partner with broader and strategic account executives and account managers to penetrate into account specific data and AI organizations and expand share of wallet with innovative solutions and commercial structures.
Cross Functional Leadership and Collaboration:

Collaborate with consulting, delivery, product, alliances, and marketing teams to align GTM execution.
Work closely with alliances (cloud, data, AI partners) to co-sell and co-innovate
Enable internal teams with market insights, client feedback, and competitive intelligence
Influence product roadmap and solution investments based on client demand signal
Data and AI Sales:

Lead sales of end-to-end data & AI transformation programs, spanning data modernization (lakehouse, cloud platforms) to AI/GenAI-driven business solutions
Position AI-led transformation includes automation, predictive insights, and decision intelligence capabilities
Translate business problems into data & AI solution architectures and ROI-driven use cases, grounded in real-world insurance workflows
Collaborate with pre-sales, architects, and delivery teams to shape tailored
Data & AI Expertise:

Demonstrate strong working knowledge of modern data architectures and AI ecosystems, including:
Data Lakehouse architectures (e.g., Delta Lake, Databricks, Snowflake, Microsoft Fabric)
Cloud-native data platforms (AWS, Azure, Google Cloud Platform)
Data engineering, data governance, and real-time analytics frameworks
Solid understanding of AI/ML concepts and enterprise use cases, including:
Predictive modeling, risk scoring, and pricing optimization
NLP, document intelligence, and claims automation
Generative AI / LLM applications (e.g., OpenAI, Claude, copilots) for underwriting, servicing, and operations
Ability to connect architecture to use case to business value, articulate how data platforms enable AI-driven transformation
Familiarity with end-to-end data & AI lifecycle: ingestion, transformation, modeling, deployment, monitoring, and governance
Qualifications
15+ years of experience in consultative sales, business development, or client engagement for data, analytics, or AI services
Demonstrated track record of meeting or exceeding $5M+ annual revenue targets in a professional services or technology services environment
Deep expertise in one or more insurance segments: Life & Annuities, Group Benefits, P&C
Experience selling to C-suite and VP-level buyers; comfort leading executive-level conversations and workshops
Strong understanding of enterprise data architectures, ML/AI solution concepts, and modern cloud platforms (AWS, Azure, Google Cloud Platform)
Strong conceptual understanding of modern data stack and AI ecosystem, including lakehouse architectures, data platforms, and GenAI frameworks
Exceptional communication, storytelling, and executive presentation skills
Bachelor’s degree in business, Computer Science, Mathematics, or a related field
Preferred
MBA or advanced degree
Prior experience in consulting firm or leading analytics/AI services firm
Experience with Generative AI solution selling and familiarity with LLM-based applications in insurance
Existing network of senior relationships at major insurance carriers or reinsurers
Familiarity with insurance regulatory environment (NAIC, state-level compliance considerations)
Cloud Data platform certifications (AWS/Azure/Google Cloud Platform)
Databricks Lakehouse Fundamentals Certifications
AI/Gen AI: Azure or Open AI/ Anthropic Partner Certifications, DeepLearning.AI