Scientific Games: Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary performance, and unwavering security to responsibly propel the global lottery industry ever forward.
Position Summary Job Summary: Working-lead role that owns product definition quality for the highest-complexity opportunities in the Data Products portfolio– output quality across the full lifecycle, from problem framing through Ready-to-Build handoff. Insight is the starting focus. This role sets the standard for the rest of the team by demonstrating it directly, not by directing others’ work. Scope: Owns product definition quality for the highest-complexity opportunities in the Data Products function, working as an individual contributor. Partners with Platform Engineering, Data Science/ML, and business stakeholders. Sets the standard Solutions Analysts follow— without formal authority over their day-to-day work or performance. Reports to the Director, Data Products.
Essential Job Functions Own output quality across the full product definition lifecycle, from problem framing through Ready-to-Build handoff, on the highest-complexity opportunities
Set the standard for what a well-defined opportunity looks like— and demonstrate it directly in your own work
Make the call on what moves forward
Build repeatable methods and templates that Solutions Analysts can execute without your involvement in every decision
Author product definitions, business metric tables, and agent context specs for the highest-complexity opportunities
Lead deployment channel decisions— Databricks-native vs. Teams, Dynamics, or another end-user tool
Maintain the business context layer: metric definitions, metadata, and decision rules that keep AI products reasoning correctly
Represent product definition in cross-functional reviews with Platform Engineering and DS/ML
Raise the judgment of Solutions Analysts through direct feedback, documented standards, and context— without a reporting relationship
Ensure handoffs to Platform Engineering are clean, and define for DS/ML what models must produce and within what constraints
Qualifications Required Bachelor’s degree in a relevant field
7+ years in data, analytics, or product, with deep hands‑on ownership of product definition work end‑to‑end (people‑management experience not required)




Product definition depth— can write a well‑structured product spec, business metric table, and agent context document, and knows the difference between a complete one and one that causes problems downstream
Technical fluency without engineering scope— understands what Databricks, Teams, and Dynamics can do well enough to make deployment decisions, without reaching into Platform Engineering’s territory
Working‑lead instinct— most effective close to the work, and sets standards by demonstrating them rather than directing others
Influence without authority— can shape how Solutions Analysts and peers approach their work through standards, documentation, and direct coaching, with no reporting relationship
Operating model discipline— manages the boundary with Platform Engineering and DS/ML cleanly, and holds that line under pressure
Desired Hands‑on experience defining AI/agentic products (semantic‑layer or metadata‑driven products)
Familiarity with Databricks, Microsoft Teams, and Dynamics as delivery channels
Authority To Set and enforce the Ready‑to‑Build standard for product definitions
Decide what product definition work moves forward to handoff
Make deployment channel decisions (Databricks‑native vs. Teams, Dynamics, or other)
Roadmap changes and new commitments (owned by the Director)
Cross‑functional escalations that change Platform Engineering or DS/ML scope
Prioritizing Discovery Analysts’ work (owned by their manager— this role influences, not directs)
Key Contacts Internal Director, Data Products
Platform Engineering
Data Science/ML
Business stakeholders
Discovery Team
External Technology and platform vendors (e.g., Databricks)
Lottery customers
Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, stand, walk, bend, use hands, operate a computer, and have specific vision abilities to include close and distance vision, and ability to adjust focus working with computer and business equipment.
Work Conditions Scientific Games, LLC and its affiliates (collectively, “SG”)



are engaged in highly regulated gaming and lottery businesses. As a result, certain SG employees may, among other things, be required to obtain a gaming or other license(s), undergo background investigations or security checks, or meet certain standards dictated by law, regulation or contracts. In order to ensure SG complies with its regulatory and contractual commitments, as a condition to hiring and continuing to employ its employees, SG requires all of its employees to meet those requirements that are necessary to fulfill their individual roles. As a prerequisite to employment with SG (to the extent permitted by law), you shall be asked to consent to SG conducting a due diligence/background investigation on you. This job description should not be interpreted as all-inclusive; it is intended to identify major responsibilities and requirements of the job. The employee in this position may be requested to perform other job-related tasks and responsibilities than those stated above.
SG is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.
Relentless innovation. Legendary performance. And unwavering security. All built on a foundation of trusted partnerships. This is what it takes to be a global leader in lottery games, sports betting and technology. And to propel the industry ever forward. At Scientific Games, we elevate play every day. From cutting‑edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we care about the details that drive profits for lottery beneficiary programs. We know what people like to play today. And with the power of data analytics, we can predict what they'll want to play tomorrow. We're always thinking about the player experience. Because it's not just a game. It's an instant of optimistic fun. But the best part? We're just getting started. iLottery and sports betting are the recent frontier in play. And Scientific Games is the partner of choice for these growing markets. Because when it comes to digital, trust is everything. The lottery experience is always one of excitement. But we're endlessly innovating, always evolving and firmly committed to responsible gaming. So that the future of lottery funding shines bright. It's the future of stability and inspiration. The strength of security paired with the thrill of the new. It's the future of Scientific Games. The driver of today's favorite lottery games and most advanced technologies, and sustainability for tomorrow. And it all starts now.

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📌 Senior Data Product Owner (Ontario)
🏢 Scientific Games
📍 Ontario