Director of Data

Posted Yesterday
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Waterloo, ON, CAN
In-Office
Expert/Leader
AdTech • Digital Media • Gaming • Marketing Tech • Software • Sports • Conversational AI
Powering Sports Media Monetization for Operators & Rights Holders through BetTech solutions & Agentic AI Solutions.
The Role
Lead consolidation of fragmented analytics into a single source of truth, implement data governance and quality frameworks, define KPIs and BI tool strategy, migrate to a modern cloud data stack, enable first-party data and personalization via a unified customer data lake, partner with Product and Commercial teams, and manage Data & BI teams to deliver automated, revenue-driving analytics.
Summary Generated by Built In

 

Role Summary
The Director of Data is a strategic leader responsible for transforming our data landscape into a unified, high-performing asset. You will lead the transition from fragmented, inconsistent reporting to a single source of truth that enables every stakeholder to make data-driven decisions with ease.
You will oversee the end-to-end data strategy, from governance and engineering to advanced analytics. Your goal is to move the organization away from manual data "tweaking" and toward a scalable, automated environment where data is a primary driver of product development and revenue growth.
Why this role exists
Currently, our data environment is fragmented across different platforms (Looker and PowerBI) and suffers from inconsistent definitions and manual processing. This role exists to fix these foundational issues, unify our customer data into a single lake, and ensure that data is never an afterthought in our product lifecycle. You will bridge the gap between technical execution and business value, making it possible for stakeholders to eventually interact with our data in a self-service, conversational, intuitive way.
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Responsibilities
•    Champion a data driven decision-making culture: Embed data in every business decision, ensuring stakeholder self-service, proactive insight led decision making and shift from descriptive reporting to predictive and prescriptive insights.
•    Establish a Single Source of Truth: Lead the consolidation of fragmented data sources into a unified layer to ensure consistent reporting across all regions and products.
•    Define and Standardize KPIs: Create a coherent dictionary of business metrics so that "the truth" is the same for every department.
•    BI Tool Strategy: Solve the current fragmentation of BI, creating a streamlined dashboard ecosystem that discourages "ad hoc" clutter.
•    Data Governance & Quality: Implement rigorous standards for data cleaning, eliminating the need for manual raw data adjustments.
•    1st Party Data Transition: Strategy and execution of moving from 3rd party to 1st party data sources to future-proof our revenue streams.
•    Product Integration: Work with Product and Engineering to ensure data tracking and analytics are baked into new features from day one, rather than added as an afterthought.
•    Enable Personalization: Build a unified customer data lake that allows for advanced cohort segmentation and personalized experiences for our fans.
•    Leadership & Roadmap: Review and manage the Data & BI teams, setting a prioritized roadmap that addresses technical debt while delivering high-impact business wins.
•    Partner with Commercial and Product teams: Improve the revenue attribution and measurement and identify growth opportunities through data
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Must-Have Experience
•    10+ years in Data Leadership: Proven experience managing data engineering, analytics, and BI teams in a fast-paced digital environment.
•    Architecting "Single Source of Truth": A track record of successfully consolidating fragmented data environments and migrating legacy systems.
•    Cloud Data Expertise: Deep knowledge of modern data stacks (e.g., BigQuery, Snowflake, or AWS) and BI tools (Looker/PowerBI).
•    Data Governance Mastery: Experience defining global KPIs and implementing data quality frameworks that eliminate manual reporting errors.
•    Commercial Mindset: Ability to translate complex data issues into clear business outcomes, specifically regarding 1st party data and programmatic revenue.
•    Stakeholder Management: Experience working with C-suite and Product leads to embed data into the core business strategy.
Nice to Have
•    Experience in sports media, iGaming, or high-volume consumer tech.
•    Exposure to AI/LLM integration for "conversational" data interfaces.
•    Experience managing data transitions during mergers or acquisitions.

Skills Required

  • 10+ years in Data Leadership
  • Experience managing data engineering, analytics, and BI teams
  • Proven track record consolidating fragmented data environments and migrating legacy systems (architecting a Single Source of Truth)
  • Deep knowledge of modern data stacks (BigQuery, Snowflake, or AWS)
  • Experience with BI tools (Looker, PowerBI)
  • Experience defining global KPIs and implementing data quality frameworks
  • Commercial mindset; translate data into clear business outcomes, especially for 1st party data and programmatic revenue
  • Experience working with C-suite and Product leads to embed data into strategy
  • Experience in sports media, iGaming, or high-volume consumer tech
  • Exposure to AI/LLM integration for conversational data interfaces
  • Experience managing data transitions during mergers or acquisitions
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The Company
HQ: London
128 Employees
Year Founded: 1999

What We Do

FairPlay Sports Media is a global technology-driven media network and BetTech infrastructure provider that empowers betting operators, media publishers, and rights holders to monetize sports engagement beyond passive advertising. Backed by Bruin Capital and led by Group CEO Stuart Simms, we are redefining the relationship between sports media and betting. We are not a traditional affiliate network; we are the AI-powered operating system for the regulated sports betting industry. By combining 25 years of proprietary betting data with advanced Agentic AI and Managed Trading Services, we bridge the gap between fan engagement and commercial transaction; turning passive viewers into high-value, revenue-generating customers. From "Renting Audiences" to "Owning Outcomes" C-Suite leaders face a "Commodity Trap" with inefficient AdTech. We solve this with our "Virtuous Circle" methodology, which fuses: First-Party Data: Real-time behavioral insights from over 100 million monthly unique users. Agentic AI: Autonomous predictive models (via FairPlay AI, formerly Quarter4) that identify high-intent betting moments. BetTech Connectivity: Low-latency OddsGrid APIs and white-label widgets that increase Yield (RPM). The result? We help partners significantly reduce Cost Per Acquisition (CPA), extend Lifetime Value (LTV), and ensure rigorous compliance across regulated markets (UK, Europe, US). The Tech Stack: Powered by "Teammate" & OddsGrid Our proprietary stack integrates seamlessly into partner ecosystems: FairPlay AI & "Teammate": Our Generative AI assistant acts as a 24/7 betting analyst, leveraging neural networks to generate probability-based predictions that drive retention. OddsGrid: Processing 100 million data updates weekly, our pricing engine provides the industry's most robust real-time data feeds. Managed Trading: We act as an extension of your team, optimizing risk and pricing to maximize commercial performance. Our Network Previously Oddschecker Global Media, our portfolio; including oddschecker, WhoScored, SuperScommesse, Confido Network, and CasinoSmash, serves as the data engine for our B2B infrastructure.

Why Work With Us

FairPlay Sports Media is the AI-powered operating system for sports monetization. We combine deep-tech innovation with the global scale of brands like oddschecker. Join us to build Agentic AI that processes 100m data updates weekly to predict fan behavior. Don't just watch the game; engineer the outcome.

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