Senior Data Delivery Manager (Engagement Lead)

Responsibilities

• Own end-to-end data engagements—from opportunity qualification and innovation workshops, through solution shaping, delivery, stabilization, and account expansion. Outcome: Data programs delivered on time, within budget, and aligned to agreed business outcomes
• Become a strategic data advisor to executive sponsors, business owners, IT leaders, and Chief Data/Analytics Officers across our global enterprise client base (Europe, the Americas, LATAM, APAC). Outcome: Expansion of client relationships through new or extended data & AI initiatives to help identify and shape
• Lead client communication and governance: set cadence, run steering committees, negotiate scope, manage expectations, and resolve escalations. Outcome: Recognition as a trusted data advisor, with your recommendations driving a measurable impact on client strategies and platforms
• Drive business value in initiatives such as data platform and Lakehouse buildouts, enterprise data warehouse modernization, cross-platform data migrations, advanced analytics, ML/AI activation, and data governance transformations
• Frame target-state data visions with clients—connecting business priorities to data strategy, operating models, KPIs, and transformation roadmaps
• Partner with Sales and Solution Architects during presales to shape delivery models, define data capabilities, and architect scalable approaches for complex data ecosystems
• Ensure seamless deal-to-delivery transitions, clarifying scope, governance, team structure, and execution plans grounded in data operating best practices
• Validate SOWs and commercials to ensure feasibility, profitability, and alignment with client data goals
• Coordinate multiple delivery streams across data engineers, data scientists, analytics specialists, data architects, product owners, and fellow Delivery Managers—in support of both mature data organizations and greenfield team buildouts. Outcome: High-performing, data-focused delivery teams that operate within…
• Establish and run delivery governance with data-centric KPIs, risk frameworks, quality gates, and escalation paths—with best practices applied across modern cloud and analytics ecosystems

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