Senior Director

Senior Director at NeerInfo Solutions Senior Director at NeerInfo Solutions in Bloomfield, Connecticut Posted in 3 days ago.

Type:

full-time

Job Description:

Role:

Senior Director Location:

Hartford, Connecticut, USA 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 Overall IT consulting experience. 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.