Engagement Manager - Data & Analytics

Data & Analytics Strategy Architect is an engagement-level strategy lead responsible for defining data and analytics transformation approaches for major programs or accounts. The role combines strategic design, advisory problem-solving, and execution oversight, ensuring solutions are aligned to business outcomes and scalable operating models.

This role represents emphasizing ownership of solution strategy, client advisory conversations, and value realization frameworks , while remaining closely connected to delivery.

Core Responsibilities

• Define data, analytics, and AI transformation roadmaps for client programs or accounts
• Translate business priorities into analytics use cases, architecture direction, and operating model choices
• Lead discovery, assessment, and strategy phases of engagements

Client Advisory & Stakeholder Management

• Act as a trusted advisor to senior client stakeholders (VP / AVP / Director level)
• Facilitate strategy workshops, roadmap discussions, and value-definition sessions
• Support client decision‑making by articulating trade‑offs, risks, and benefits

Governance & Value Realization

• Ensure programs are aligned to defined business outcomes, KPIs, and benefits cases
• Support program governance, escalation, and dependency management
• Identify delivery risks early and guide corrective actions with delivery leads
• Support solutioning, estimates, and proposal development for new and expanding engagements
• Partner with account teams to identify adjacent opportunities and follow‑on work
• Contribute to client presentations and pursuit strategies

Team & Capability Development

• Guide and mentor junior architects, consultants, and analysts
• Promote best practices in strategy articulation, documentation, and executive communication
• Contribute to reusable assets, frameworks, and accelerators

Candidate Profile

• 10-12+ years of experience in analytics consulting, data strategy, or digital transformation
• Strong understanding of data platforms, analytics, BI, cloud, and foundational AI/ML concepts
• Experience in bridging business objectives and technical solutions
• Comfortable operating in structured ambiguity with guidance from senior leaders
• Strong communication skills with the ability to influence senior (non-board) stakeholders
• Bachelor's degree required; master's degree preferred (Business, Data Science, Engineering, Economics, or similar); top-tier institutions a plus.