Data & AI Analytics leader -Insurance

**Role: PreSales Lead, Data \& Analytics (Senior Director)** **Location: Hartford, Connecticut, USA.( need locals’ 3 days office)** **Reporting to: AVP level.** **Job description:** **Tango Leader – PreSales Lead, Data \& Analytics** **Role Overview** * The PreSales Lead – Data \& Analytics is a senior, client\-facing leadership role. * Responsible for driving revenue growth through strategic account mining and solution\-led presales. * Leads end\-to\-end presales pursuits for Data \& Analytics opportunities. * Acts as a bridge between business, technology, sales, and delivery teams. * Converts qualified opportunities into scalable, profitable, and governable engagements. * Plays a key role in mentoring presales teams and ensuring smooth transition from deal shaping to delivery. **Key Objectives** * Drive revenue growth within strategic and key enterprise accounts. * Establish the organization as a trusted Data \& Analytics transformation partner. * Ensure strong deal governance and architectural alignment from presales to delivery. * Support talent identification and onboarding aligned with account and solution needs. **Detailed Roles \& Responsibilities** **1\. Account Mining \& Revenue Growth** * Collaborate closely with Account Managers, Client Partners, and Sales Leadership. * Proactively mine existing client accounts to identify: * Whitespace opportunities * Expansion, cross\-sell, and up\-sell opportunities * Develop deep understanding of: * Client business models and industry context * Client’s data landscape, maturity, and challenges * Identify and shape value\-led Data \& Analytics use cases such as: * BI and reporting modernization * Advanced analytics and predictive insights * AI/ML and data science solutions * Cloud data platform modernization * Build and maintain a strong pipeline with predictable revenue outcomes. * Support revenue growth across analytics, cloud, and data engineering service lines. **2\. Solution Definition \& Deal Shaping** * Own solution architecture and deal definition for complex Data \& Analytics opportunities. * Design end\-to\-end solutions across: * Data platforms, lakes, and warehouses * BI, dashboards, and reporting layers * Advanced analytics, AI/ML, and data science use cases * Cloud ecosystems (AWS preferred) * Generative AI–based solutions * Define: * Technical architecture * Operating model and delivery approach * Phasing and roadmap * Lead effort estimation, pricing, commercials, and staffing models. * Ensure solutions are: * Client\-value driven * Technically feasible and scalable * Commercially viable and profitable * Clearly articulate solution value propositions to: * Senior business stakeholders * Technology and architecture leaders **3\. Proposal Leadership \& Sales Support** * Lead and own end\-to\-end proposal creation for: * RFPs, RFIs, and RFQs * Client presentations and solution decks * Develop compelling: * Storyboards * Solution narratives * Differentiation messaging * Lead: * Solution walkthroughs * Technical discussions * Executive and CXO\-level presentations * Work closely with Sales, Marketing, and Delivery teams to improve: * Proposal quality * Win ratios * Time\-to\-response * Ensure proposals comply with: * Organizational standards * Risk and compliance guidelines * Delivery capabilities and constraints **4\. Team Mentoring \& Capability Building** * Mentor and coach: * Solution Architects * Presales Consultants * Analysts and junior team members * Build strong capabilities in: * Solution design * Estimation and commercials * Client storytelling * Develop reusable: * Solution frameworks * Accelerators * Presales artifacts and templates * Coach teams on: * Client communication and executive presence * Storytelling and value articulation * Foster a culture of: * Continuous learning * Quality improvement * Innovation in solutioning **5\. Delivery Governance \& Deal\-to\-Execution Transition** * Support seamless transition from presales to delivery teams. * Ensure original solution intent and commercials are preserved. * Participate in: * Architecture reviews * Design validations * Governance forums * Act as an escalation point for: * Solution gaps * Scope clarifications * Architectural or commercial concerns * Ensure early delivery aligns with: * Committed scope * Architecture * Timelines and commercials * Provide advisory support during: * Critical delivery milestones * Steering committee meetings * Audits or risk reviews **Required Skills \& Experience** **Experience** * 15–20 years of overall IT consulting experience. * Minimum 10 years in Data \& Analytics presales, solutioning, or consulting roles. * Proven history of: * Account mining * Revenue generation * Deal closures * Experience working with large enterprises and CXO\-level stakeholders. **Technical \& Domain Expertise** * Strong knowledge of Data \& Analytics ecosystem, including: * Data warehousing and BI solutions * Cloud data platforms (AWS preferred) * Modern analytics stacks (Snowflake, Databricks, etc.) * Good understanding of: * ETL and data integration concepts * Data governance, quality, and security * Advanced analytics and AI/ML use cases * **Property \& Casualty (P\&C) Insurance domain experience is a strong plus.** **PreSales \& Consulting Skills** * End\-to\-end solution architecture and estimation. * Proposal and bid management. * Executive\-level client communication and storytelling. * Strong commercial awareness and pricing constructs. * Effective stakeholder management across sales, delivery, and clients. **Key Competencies** * Strategic and entrepreneurial mindset. * Strong analytical and problem\-solving abilities. * Ability to influence without formal authority. * High degree of ownership and accountability. * Comfortable working in fast\-paced and ambiguous environments. **Success Measures** * Revenue growth and deal conversion ratios. * Quality, scalability, and reusability of proposed solutions. * Client satisfaction and repeat business. * Smooth and effective transition from deal closure to delivery execution.