Job Description & How to Apply Below
We are looking for an experienced and self-driven Analytics COE senior consultant to independently drive client discussions, analytics presales, solutioning, consulting, and account-mining initiatives.
The individual will partner with sales, account, vertical, and delivery leaders to identify growth opportunities, understand client priorities, shape differentiated analytics and AI propositions, and progress opportunities from discovery through proposal and closure.
This is a hands-on, client-facing role requiring strong analytics consulting experience, executive presence, commercial orientation, and the ability to operate independently. The ideal candidate should have a demonstrated track record of growing an analytics business through new wins, account expansion, and the conversion of analytics opportunities into scalable engagements.
Key Responsibilities
1. Client Advisory and Consulting
Independently lead discovery sessions, workshops, and solution conversations with senior business, analytics, data, and technology stakeholders.
Understand the client's business priorities, operating context, analytics maturity, and decision-making challenges.
Translate ambiguous requirements into clearly defined analytics opportunities, solutions, and transformation roadmaps.
Bring relevant industry perspectives, benchmarks, leading practices, and analytics and AI use cases into client conversations.
Develop executive-level POVs, recommendations, and client-ready narratives, while building relationships with existing and new stakeholders.
2. Analytics Presales and Sales Support
Partner with sales and account teams across the opportunity lifecycle, from qualification and discovery through solutioning, proposal development, presentation, negotiation, and closure.
Lead responses to RFPs, RFIs, proactive proposals, and strategic analytics pursuits.
Personally develop solution storylines, proposals, presentations, operating models, roadmaps, effort estimates, and value propositions.
Lead capability presentations, demos, solution workshops, and senior client meetings as the analytics subject-matter leader.
Ensure proposed solutions are differentiated, practical, scalable, commercially viable, and linked to measurable business outcomes.
3. Account Mining and Revenue Growth
Develop analytics growth plans for priority accounts in collaboration with account and delivery leaders.
Identify whitespace and adjacent opportunities based on current engagements, stakeholder priorities, and the client's business agenda.
Build relationships with new functions and decision-makers beyond the current scope of engagement.
Convert client needs and account insights into qualified opportunities, pursuit plans, and actionable next steps.
Independently drive selected opportunities and contribute directly to analytics pipeline, new wins, account expansion, and revenue growth.
4. Solutioning and Commercial Shaping
Structure analytics solutions with clearly defined outcomes, work streams, data requirements, methods, deliverables, governance, and adoption plans.
Shape integrated solutions spanning business consulting, data engineering, BI, advanced analytics, data science, machine learning, GenAI, and agentic AI.
Determine the appropriate engagement construct, including assessments, pilots, MVPs, projects, managed services, or phased transformation programs.
Define delivery models, team structures, estimates, timelines, assumptions, risks, and commercial options.
Own the core solution and client narrative while involving specialists for specific domain or technical inputs.
Balance client value with differentiation, delivery feasibility, scalability, risk, and margin considerations.
5. Engagement Oversight and Expansion
Bring an engagement management perspective to ensure continuity between presales commitments and delivery outcomes.
Provide consulting oversight during the initial stages of strategic engagements and define success measures, governance, and value tracking.
Partner with delivery leaders to address risks, refine solution direction, and maintain alignment with client expectations.
Ensure analytical outputs are embedded into business decisions and workflows rather than delivered as standalone models or dashboards.
Identify follow-on opportunities arising from ongoing engagements and help convert them into expanded scopes.
6. COE and Capability Development
Guide COE teams supporting solutioning, consulting, demos, accelerators, and market-facing collateral.
Develop reusable…
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