At a Glance
- Tasks: Lead innovation in iLottery by merging business needs with data solutions.
- Company: Join Aristocrat, a pioneering and inclusive employer in the gaming industry.
- Benefits: Competitive pay, health benefits, bonuses, and a focus on your wellbeing.
- Other info: Dynamic team culture with opportunities for growth and collaboration.
- Why this job: Make a real impact in the future of online gaming with your expertise.
- Qualifications: 2+ years as a Product Manager in data; experience in iGaming is a plus.
The predicted salary is between 63000 - 77000 £ per year.
This job is with Aristocrat, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community.
Please do not contact the recruiter directly.
Aristocrat has a reputation for groundbreaking strategies in the gaming industry.
As a Data Product Manager, you will play a leading role in advancing innovation and quality in our i Lottery division.
This important role lets you merge business needs with data capabilities to produce world-class solutions.
We cultivate collaboration, inclusion, and strong ambition at Aristocrat, making this a highly outstanding chance for driven individuals to make a tangible impact.
Join us in crafting the future of regulated online gaming using your expertise and passion!
What You'll Do
- Partner with lottery customers and internal collaborators to deeply understand their business objectives, processes, decisions, and difficulties.
- Translate business needs into scalable, trusted, and actionable data solutions by assessing relevant sources, definitions, quality, constraints, and platform capabilities.
- Own initiatives throughout the entire product lifecycle, from opportunity assessment through development, delivery, launch, adoption, measurement, and continuous improvement.
- Define reusable data products, including governed datasets, semantic models, dashboards, APIs, data feeds, monitoring and alerting capabilities, and self-service features.
- Collaborate with engineering and governance teams to establish data contracts, quality rules, lineage, metadata, ownership, access controls, retention, and monitoring.
- Maintain and prioritize the backlog using customer value, business impact, risk, dependencies, effort, and capacity.
- Coordinate delivery across Data Engineering, BI, QA, Architecture, and platform teams, ensuring clear communication of scope, decisions, risks, and timelines.
- Serve as a key product contact for data and reporting needs, facilitating alignment across customers, collaborators, and delivery teams.
- Work with support and engineering teams to define observability, incident priorities, root-cause follow-up, and preventive improvements for production data products.
What We're Looking For
- Over 2 years of experience as a Product Manager/Owner of a data product, managing data & analytics solutions (Data Lake/DWH/ Cloud Service).
- Experience in the i Gaming or i Lottery industry is highly beneficial.
- Proficiency in data modeling, infrastructure, and analytics.
- Experience working with data pipelines, ELT workflows, and contemporary cloud data architectures.
- Experience with current cloud data platforms such as Snowflake, Azure Data Lake, Azure SQL, dbt, Airflow, or similar tools.
- Ability to understand and work with SQL queries and data models.
- Knowledge of data governance, privacy, security, regulatory reporting, and responsible data use cases.
- Excellent communication and strong problem-solving skills.
- Ability to multi-task and meet deadlines in a fast-paced environment.
- Experience with BI reporting and analytics solutions using Power BI, Tableau, Looker, Qlik or similar platforms.
- Agile Product Management experience: Features/User Stories, Acceptance Criteria and Agile Delivery.
- Proficiency with product management tools such as Jira, Trello, TFS/Azure Dev Ops Server, Monday. com.
- BA/B. Sc. in Industrial Engineering, Economics, Information Systems, Computer Science/Engineering, Information Technology, or another quantitative field.
- Familiarity with AI-enabled analytics, data products, or machine learning concepts is an advantage.
This job description may have been reviewed and enhanced using AI-assisted tools to improve clarity, consistency, and inclusivity.
All final content, role requirements and hiring decisions remain subject to human review and approval by Aristocrat.
Compensation Philosophy
We offer a comprehensive pay and benefits package designed to stay competitive in the market, support your wellbeing, and recognise your contribution to our success.
Our approach is underpinned by a pay-for-performance belief in rewarding individual impact.
Your specific compensation package will be determined by factors such as your skills, experience, qualifications, and location.
Depending on your role and location, you may be eligible for annual bonuses and incentives, health and wellbeing benefits, paid time off, retirement plans, insurance coverage, and other local or statutory benefits.
Specific details about compensation and benefits for this position will be discussed during the recruitment process.
Data product manager employer: Aristocrat
Aristocrat is an exceptional employer that fosters a dynamic and inclusive work culture, offering employees the chance to thrive in a hybrid environment. With a strong focus on professional development, you will have ample opportunities to mentor fellow engineers and lead innovative projects while staying at the forefront of automation technology. Located in the UK, our team enjoys a collaborative atmosphere that encourages creativity and growth, making it a rewarding place to build your career.
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We think this is how you could land Data product manager
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We think you need these skills to ace Data product manager
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Aristocrat. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Aristocrat!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
