Engagement Manager - Data & Analytics

Role SummaryData & 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 Strategy & Solution LeadershipDefine data, analytics, and AI transformation roadmaps for client programs or accountsTranslate business priorities into analytics use cases, architecture direction, and operating model choicesLead discovery, assessment, and strategy phases of engagementsClient Advisory & Stakeholder ManagementAct as a trusted advisor to senior client stakeholders (VP / AVP / Director level)Facilitate strategy workshops, roadmap discussions, and value-definition sessionsSupport client decision-making by articulating trade-offs, risks, and benefitsGovernance & Value RealizationEnsure programs are aligned to defined business outcomes, KPIs, and benefits casesSupport program governance, escalation, and dependency managementIdentify delivery risks early and guide corrective actions with delivery leadsCommercial & Pre-Sales SupportSupport solutioning, estimates, and proposal development for new and expanding engagementsPartner with account teams to identify adjacent opportunities and follow-on workContribute to client presentations and pursuit strategiesTeam & Capability DevelopmentGuide and mentor junior architects, consultants, and analystsPromote best practices in strategy articulation, documentation, and executive communicationContribute to reusable assets, frameworks, and acceleratorsCandidate Profile 10–12+ years of experience in analytics consulting, data strategy, or digital transformationStrong understanding of data platforms, analytics, BI, cloud, and foundational AI/ML conceptsExperience in bridging business objectives and technical solutionsComfortable operating in structured ambiguity with guidance from senior leadersStrong communication skills with the ability to influence senior (non-board) stakeholdersBachelor’s degree required; master's degree preferred (Business, Data Science, Engineering, Economics, or similar); top-tier institutions a plus.