Program Manager, Machine Learning

4 days ago

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Sony Interactive Entertainment

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For all of the latest PlayStation related news, career openings, and updates, please visit PlayStation on LinkedIn at https://www.linkedin.com/company/playstation-sony/ About Sony Interactive Entertainment Recognized as a global leader in interactive and digital entertainment, Sony Interactive Entertainment (SIE) is responsible for the PlayStation® brand and family of products and services$1. .$1

10,000+

Description

• Manage the overall work program of interrelated projects: • Support the Program Owner with their responsibilities via daily management of the Program throughout its life. • Establish internal procedures within the program and reviewing them regularly. • Plan the overall program, including timelines, and monitoring the progress against high level milestones to ensure adherence to the plan; updating the high-level plan as necessary. • Coordinate the projects and their interdependencies, promoting collaboration. • Identifying and anticipating program risks and issues, developing mitigation strategies, and facilitating issue resolution and escalation. • Managing stakeholders’ communication by identifying key stakeholders, assessing their interests, and developing strategies for effective communication. • Working with stakeholders to define measurable benefits, ensure outputs/deliverables will properly realize those benefits, and track progress. • Lead a team of machine learning researchers and developers: Provide guidance, mentorship, and support to help them achieve their professional goals, fostering an environment where they can thrive and excel. • Foster a strong team culture, morale, and cohesiveness. • Supporting technical leads by ensuring that the team has access to the necessary tools and resources to perform their work. • Conducting staff appraisals, fostering individual growth through regular one-to-ones, and identifying and mitigating risks. • Approving holidays and expenses in collaboration with technical leads. • Acting as a central point of contact for various SIE departments. • Develop and implement talent strategies: Attract, recruit, and retain top-tier talent in machine learning, ensuring that our team remains at the cutting edge of innovation and expertise. • Cultivate a culture of innovation: Establish and maintain a culture of curiosity and continuous learning within the team, encouraging ambitious ideas and groundbreaking research. • Foster inclusivity and diversity: Create a work environment where every team member feels valued, respected, and empowered to contribute their unique perspectives and talents. • Operate in a global environment: Navigate the challenges of working with diverse, global teams spread across different time zones, demonstrating flexibility and a willingness to work outside normal hours when required. • Handle administrative tasks: • Efficiently manage general administrative responsibilities, ensuring smooth day-to-day operations. • Coordinate resources across the team. • Maintain the main program documentation. • Adhere to governance structures, report to the governance board, and seek necessary approvals.

Requirements

• Bachelor’s degree in a relevant field; technical degrees in Computer Science, Data Science, Machine Learning, or Artificial Intelligence are advantageous but not required. • An MBA or other degrees in management or leadership would be highly advantageous. • Proven experience managing large-scale programs, with a solid understanding of program management methodologies. • Proven experience in managing a team of researchers or developers, preferably with a focus on machine learning related projects. • Experience in recruitment and retention strategies, with a track record of attracting and developing top talent in machine learning. • Previous experience of communicating how a program’s objectives align with the organization's strategic goals. • Familiarity with agile development methodologies and a collaborative approach to problem-solving. • An interest in gaming and exploring the intersection of machine learning and game technology.