Data Sales Consultant

EXL is seeking a dynamic, growth-centric Data & AI Sales Consultant to join our Data & Analytics practice. This is a high-impact, client-facing role focused on driving new sales engagements across Insurance and Healthcare domains. You will work at the intersection of delivery, industry market units, and business development - building compelling sales narratives, responding to RFPs, and helping clients unlock value from cloud-led data modernization and AI transformation.

This role requires frequent travel and client engagement across key markets including Atlanta, Jersey City, New York City, and Charlotte.

• Sales Origination & Pipeline Growth: Partner with Sales, Industry Market Units, and Account teams to originate, qualify, and develop net-new data-led opportunities across Insurance and Healthcare verticals. Drive pipeline growth through proactive outreach, thought leadership, and executive engagement.
• Cross-Functional Collaboration: Act as the connective tissue between Delivery, Domain, and GTM teams. Work closely with Data Engineering, AI/ML, and Analytics delivery units to shape solutions that are technically credible and commercially compelling.
• Client Engagement & Solutioning: Lead and support client-facing workshops, discovery sessions, solution demonstrations, and executive presentations. Translate complex client challenges into clear, differentiated value propositions.
• RFP / RFI & Proposal Management: Own or support end-to-end RFP/RFI responses, proposal development, and SOW/pricing solutioning. Build and maintain a library of reusable collateral, case studies, and demo assets tailored to Insurance and Healthcare buyers.
• Domain-Specific Use Case Development: Develop compelling, industry-specific use cases and points-of-view across Claims, Underwriting, Policy, Pricing, Actuarial, Risk (Insurance), and Care Management, Utilization, and Operations (Healthcare).
• AI & Platform-Led Narratives: Position EXL's capabilities in AI/GenAI, cloud-led data modernization (Snowflake, Databricks, Microsoft Fabric, AWS, Azure), and data governance as integrated solutions aligned to client transformation priorities.
• Stakeholder Influence: Engage CDOs, Data Office leaders, VP/SVP-level business stakeholders, and technology decision-makers to understand their data strategy and position EXL as a strategic transformation partner.
• Collateral & Enablement: Build and refresh sales collateral, pitch decks, battle cards, competitive differentiation materials, and solution one-pagers in collaboration with marketing and practice teams.

• 12+ years of experience in Data, Analytics, Consulting, or Technology — with a clear track record in sales, pre-sales, or business development roles.
• Strong domain expertise in P&C Insurance (Claims, Underwriting, Actuarial, Policy, Pricing) and/or Healthcare (Payer, Provider, or Health Services operations).
• Demonstrated experience in cloud-led data platform sales or solutioning across Snowflake, Databricks, Microsoft Fabric, AWS, or Azure.
• Hands-on experience developing AI/GenAI use cases for enterprise clients — from initial pitch through proof of concept framing.
• Proven ability to respond to and lead RFP/RFI engagements, write proposals, and structure commercial solutions.
• Executive presence and strong consultative storytelling — ability to engage C-suite and VP-level stakeholders with confidence.
• Comfortable working in a matrixed, cross-functional environment with delivery teams, industry market units, and sales leadership.
• Travel-ready with availability to cover key client markets:
  Atlanta, Jersey City / New York City, and Charlotte.

• Prior experience at a data consulting, analytics, or IT services firm (e.g. EXL, Cognizant, Deloitte, Accenture, Capgemini) in a sales or pre-sales capacity.
• Active relationships with CDO, Data Office, or Data & Analytics leadership at Tier 1 or Tier 2 P&C or Health Insurance carriers.
• Experience building reusable sales accelerators, demo environments, or industry-specific POC frameworks.
• Familiarity with Data Governance, Data Quality, Master Data Management, or Data Mesh as enterprise sales levers.
• Understanding of the broader data modernization landscape including Data Vault, medallion architectures, lakehouse patterns, and cloud-native ingestion.
• MBA or advanced degree in a quantitative, business, or technology discipline is a plus.