Analytics Manager - R01563909

We are seeking a seasoned Analytics Solution / Engagement Manager to lead end‑to‑end analytics engagements for strategic clients. This role requires a strong blend of hands-on analytics expertise, solutioning capability, client relationship management, and AI-driven thinking, with a proven ability to deliver measurable business value through advanced analytics.

The incumbent will act as a trusted analytics advisor to clients, owning solution design, delivery governance, stakeholder management, and expansion opportunities across complex, multi‑practice engagements.

• Serve as the primary analytics engagement lead for key client accounts, managing senior stakeholders (CXO, VP, Director level).
• Own client expectation management, ensuring clear alignment on business goals, scope, timelines, and outcomes.
• Drive analytics storytelling, translating complex data insights into clear, actionable narratives for business decision‑makers.
• Lead and present MBRs/QBRs, executive dashboards, and impact assessments, showcasing ROI and business outcomes.
• Proactively identify risks, dependencies, and roadblocks, and resolve them through independent research and structured problem-solving.

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• Lead problem framing and requirement gathering from a business and analytics perspective, converting ambiguous asks into structured analytics use cases.
• Define solution approach, architecture, and analytics roadmap in collaboration with data engineering, BI, and data science teams.
• Provide hands‑on guidance across:
• Analytics & Insights: Advanced SQL, Python/PySpark, exploratory analysis
• Business Intelligence: Power BI / Tableau (data models, dashboards, performance optimization)
• Data Engineering: ETL pipelines, data modeling, cloud data platforms
• Advanced Analytics / Data Science: Predictive or prescriptive modeling (preferred)
• Ensure analytical rigor, data quality, and scalability of solutions delivered.

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• Lead or contribute to client proposals, including:
• Solution design and effort estimation
• Analytics approach and delivery model
• Governance, staffing plans, and value articulation
• Actively support and respond to RFIs/RFPs, showcasing domain knowledge, solution strength, and differentiation.
• Collaborate with sales and leadership teams to drive account growth and deal renewals.

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• Work in a cross‑practice collaboration model, aligning analytics with data engineering, AI/ML, visualization, and domain consulting teams.
• Provide mentorship and technical leadership to analysts, data engineers, and senior consultants.
• Establish delivery best practices, governance frameworks, and execution standards across engagements.

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• Bring an AI‑driven mindset to analytics engagements, identifying opportunities to leverage:
• AI/ML models
• Generative AI and automation
• Advanced optimization and forecasting techniques
• Continuously explore emerging analytics, AI, and data technologies to enhance client value and internal capabilities.

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Strong analytics and business knowledge in one or more of the following domains is mandatory:

• IIT/NIIT background
• Utilities
• Construction / Engineering
• Retail / Consumer Analytics
• Textile & Packaging
• Supply Chain & Operations Analytics

Ability to contextualize analytics solutions within domain‑specific KPIs, workflows, and decision frameworks is critical.