Lead end-to-end delivery of large-scale analytics and data management programs: enforce delivery best practices, manage multi-workstream teams, liaise with senior stakeholders, ensure quality/performance on cloud data platforms, and drive account growth and talent development.
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, strong 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 best quality output across the board, and endeavor to improve the current state.
Key Responsibilities:
1. Delivery Leadership
- 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.
2. Stakeholder & Client Management
- 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.
3. Team Leadership & Talent Development
- 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.
4. Analytics, Data & Technology Oversight
- Provide delivery leadership for solutions involving:
- Data Management & Data Engineering
- Cloud-based analytics platforms
- 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.
5. Account Growth & Organic Business Development
- 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.
Key Responsibilities:
1. Delivery Leadership
- 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.
2. Stakeholder & Client Management
- 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.
3. Team Leadership & Talent Development
- 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.
4. Analytics, Data & Technology Oversight
- Provide delivery leadership for solutions involving:
- Data Management & Data Engineering
- Cloud-based analytics platforms
- 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.
5. Account Growth & Organic Business Development
- 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.
Qualifications:
- 10-12 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 & 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, and SLO/SLA governance), software/application development delivery (frontend, backend, API management, and design/UX collaboration), SDLC practices (CI/CD)
- Outstanding communication and stakeholder management skills, including executive presence.
- Demonstrated success in account mining, organic BD, and supporting revenue growth.
Preferred Skills:
- 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.
Soft Skills:
- Excellent leadership, communication, and stakeholder management abilities.
- Strong problem-solving, analytical thinking, and decision-making skills.
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What you need to know about the Montreal Tech Scene
With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.
Key Facts About Montreal Tech
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