23 Aug
|
Scientific Games
|
Toronto
23 Aug
Scientific Games
Toronto
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. 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.
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. Own output quality across the full product definition lifecycle, from problem framing through Ready-to-Build handoff, on the highest-complexity opportunities Lead deployment channel decisions— Databricks-native vs. 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) ~ 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 ~ Influence without authority— can shape how Solutions Analysts and peers approach their work through standards, documentation, and direct coaching, with no reporting relationship ~ Familiarity with Databricks,
Microsoft Teams, and Dynamics as delivery channels Make deployment channel decisions (Databricks‑native vs.
Internal
Director, Data Products Data Science/ML Databricks) Lottery customers 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.
Scientific
Games, LLC and its affiliates (collectively, “SG”) are engaged in highly regulated gaming and lottery businesses. 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. SG is an Equal Chance 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.
Legendary performance. 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.
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. And with the power of data analytics, we can predict what they'll want to play tomorrow. Because it's not just a game.
And Scientific
Games is the partner of choice for these growing markets. Because when it comes to digital, trust is everything. It's the future of Scientific Games. The driver of today's favorite lottery games and most advanced technologies, and sustainability for tomorrow.
📌 Senior Data Product Owner (Toronto)
🏢 Scientific Games
📍 Toronto