Director Product Intelligence AIML Data Solutions
Director Product Intelligence AIML Data Solutions
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Job Description
PENN Entertainment Inc. is North Americas leading provider of integrated entertainment sports content and casino gaming experiences. From casinos and racetracks to online gaming sports betting and entertainment content we deliver the experiences people want how and where they want them.
Were always on the lookout for those who are passionate about creating and delivering cuttingedge online gaming and sports media products. Whether its through ESPN BET Hollywood Casino theScore Bet Sportsbook & Casino or theScore media app were excited to push the boundaries of whats possible. These stateoftheart platforms are powered by proprietary inhouse technology a key component of PENNs omnichannel gaming and entertainment strategy.
When you join PENN Entertainments digital team youll not only work on these cuttingedge platforms through theScore and PENN Interactive but youll also be part of a company that truly cares about your career growth. Were committed to supporting you as you expand your skills and explore new opportunities.
With locations throughout North America you can build a future at PENN Entertainment wherever you are. If you want to challenge conventions in gaming media and entertainment we want to talk to you.
About the Role & Team
The Director Product Intelligence AI/ML & Data Solutions will be responsible for defining and executing the strategic roadmap for features that leverage data to enhance user engagement and drive business growth. This role combines strategic vision with deep technical understanding to build features that personalize and/or enhance the user experience. You will also oversee the product analytics function ensuring rigorous measurement and optimization of feature performance through A/B testing feature discovery and deep data insights. This leader will be a key collaborator working closely with engineering product strategy user research and design teams to discuss ideas bring innovative features to life and demonstrate their impact.
About the Work
- Develop and articulate a strategic roadmap for datadriven feature innovation on topics including personalization recommender systems chat toxicity models AIpowered user experiences and other advanced applications.
- Identify and evaluate emerging technologies and trends in data science and AI and assess their potential to enhance the user experience.
- Drive the ideation prototyping and validation of new feature concepts ensuring alignment with business objectives and user needs.
- Lead the prioritization and sequencing of solution development balancing strategic impact with technical feasibility.
- Oversee the development and implementation of datadriven features ensuring high quality and performance including working closely with engineering teams to integrate datadriven features into the app.
- Collaborate with engineering teams to ensure that datadriven features are built on a scalable and reliable infrastructure.
- Lead the product analytics function ensuring rigorous measurement and optimization of feature performance.
- Direct A/B testing initiatives and experimentation protocols to validate assumptions optimize feature performance and facilitate iterative enhancements of datadriven products.
- Lead feature discovery work to find gaps and opportunities within the app.
- Collaborate with VPlevel stakeholders across engineering product strategy user research and design to align on product priorities and strategies.
- Communicate effectively with technical and nontechnical audiences translating complex data and concepts into clear and actionable insights.
- Present findings and strategic direction to executive leadership.
About You
- 7 years of proven experience leading teams to deliver data science and analytics solutions at scale in realworld productionlevel settings.
- Formal academic background in a technical or quantitative field (e.g. Computer Science Data Science Engineering Statistics); Masters degree preferred.
- Proven track record of developing and launching successful datadriven features at scale.
- Strong understanding of machine learning data science analytics and AI concepts.
- Experience with product analytics tools and techniques including A/B testing data modelling frameworks & visualization best practices.
- Excellent strategic thinking and problemsolving skills.
- Strong communication and presentation skills with the ability to influence and collaborate with stakeholders at all levels.
- Passion for innovation and a deep understanding of user experience principles.
- Experience working with engineering and data science teams in an agile environment.
- A balance of technical understanding and creative vision.
- Knowledge of the sports betting industry is preferred but not mandatory.
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Candidates residing in Ontario requiring special accommodation can email
theScore is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability or age.
Required Experience:
Director
Employment Type
Full Time
