Director of Engineering (Hamilton)

We are seeking a Senior Delivery Manager to lead large‑scale Analytics & Data Management programs for marquee clients in our Sports & Gaming practice. This role combines delivery excellence, stakeholder management, team leadership, and account growth, with a strong emphasis on best practices, innovation, and customer satisfaction. The ideal candidate should bring deep experience in data & analytics delivery, solid analytical skills, and the ability to mine new opportunities within existing accounts while ensuring high team morale and predictable outcomes.

The incumbent will collaborate closely with business stakeholders and delivery teams to drive best practices, ensure consistently high quality output across the board, and endeavor to improve the current state. Key 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, data warehouses and modern data stacks.

Demonstrate strong familiarity with AWS Cloud (AWS Redshift, Snowflake, BigQuery, Databricks, Azure, GCP) and exhibit fluency in 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 sharing. Lead opportunity mining, effort estimation and delivery approach definition for new initiatives. Contribute to long‑term account strategy and roadmap planning.

Qualifications 12+ years of experience in delivery, program or project management within analytics, data management or data engineering domains. Proven experience managing large, global, cross‑functional teams. Strong understanding of data management and data engineering ecosystems.

Strong experience with AWS or other cloud data ecosystems (Azure, Databricks, Snowflake, GCP). Hands‑on familiarity with SQL and Python. Experience with Agile delivery and project management tools (JIRA, Azure DevOps, etc.).

Excellent analytical and problem‑solving skills with a structured, data‑driven mindset. Experience with data clean room solutions, consent platforms, DataOps exposure (data observability, DQ frameworks, lineage, incident management, SLO/SLA governance), software/application delivery (frontend, backend, API management, design/UX collaboration), SDLC practices (CI/CD). Outstanding communication and stakeholder management skills, including executive presence.

Demonstrated success in account mining, organic business development and supporting revenue growth. Preferred Ability to balance strategic project management with technical understanding. Experience working with Fortune 500 or global enterprise clients.

Passion for sports, fan engagement or DTC business models. Excellent leadership, communication and stakeholder management abilities. Strong problem‑solving, analytical thinking and decision‑making skills. #J-18808-Ljbffr