Director of Engineering overseeing Analytics & Data Management programs for marquee clients in Sports & Gaming. Ensuring delivery excellence, stakeholder management, team leadership, and account growth.
Responsibilities
Own end-to-end delivery of analytics and data management engagements, ensuring scope, timelines, quality, and cost targets are met.
Establish and enforce delivery best practices, governance models, and execution frameworks across programs.
Manage complex, multi-workstream programs and projects involving data engineering, data platforms, and analytics solutions.
Proactively identify risks, dependencies, and bottlenecks; drive structured problem-solving and mitigation plans.
Act as a trusted advisor to senior client stakeholders, ensuring transparency, alignment, and value realization.
Lead executive-level reviews, steering committee meetings, and roadmap discussions.
Balance client expectations with internal capabilities to ensure sustainable delivery.
Build, manage, and scale large, globally distributed teams across geographies.
Foster a culture of collaboration, ownership, continuous improvement, and high team satisfaction.
Mentor delivery managers, tech leads, and high-potential talent; support career growth and succession planning.
Provide delivery leadership for solutions involving data management & data engineering, cloud-based analytics platforms, and data warehousing and modern data stacks.
Demonstrate strong familiarity with AWS Cloud, including AWS Redshift, SQL and Python (hands-on not mandatory, but must be delivery-fluent).
Collaborate with architects and engineering leads to ensure scalable, secure, and performant solutions.
Drive organic growth within existing accounts by identifying white-space opportunities and unmet client needs.
Partner with sales and leadership to support account growth targets, proposals, and solution shaping.
Lead opportunity mining, effort estimation, and delivery approach definition for new initiatives.
Contribute to long-term account strategy and roadmap planning.
Requirements
10-12 years of experience in delivery, program, or project management within analytics, data management, or data engineering domains.
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