Back to jobs
Job Description
Job Summary: As an AI Program Manager, you will be leading and managing AI & Data Science projects at JioStar. The successful candidate will work closely with the Vice President, AI & Data Science, and cross-functional teams to execute and deliver high-impact AI solutions across our business. This role will involve program management, stakeholder engagement, and fostering collaboration to ensure the successful execution of AI projects.
About the team: At JioStar, we are at the forefront of innovation in the media and entertainment industry. Our AI & Data Science team drives cutting-edge solutions for video processing, content analysis, customer insights, and personalization at scale. Join us as we leverage AI and data science to shape the future of entertainment, delivering impactful solutions to millions of users.
Key responsibilities:
- AI Program Leadership:
- Manage the end-to-end execution of high-priority AI and data science initiatives, ensuring timely and high-quality delivery.
- Lead cross-functional teams of data scientists, engineers, product managers, and business stakeholders to implement AI-driven solutions.
- Own the project lifecycle, from ideation and scoping to execution, delivery, and post-launch assessment.
- Stakeholder Management:
- Build and maintain strong relationships with business leaders, data scientists, engineers, and other stakeholders to align AI initiatives with business goals.
- Provide regular updates on program progress, including risks, dependencies, and timelines to key stakeholders.
- Strategic Execution:
- Work closely with leadership to define AI strategies and roadmaps, ensuring that the team’s efforts align with broader business goals.
- Drive the execution of multiple concurrent AI projects, balancing resources, timelines, and priorities effectively.
- Cross-functional Collaboration:
- Facilitate communication and collaboration between AI teams, business units, and other technical teams.
- Ensure clear requirements gathering, documentation, and alignment between teams to minimize risks and maximize impact.
- Risk & Issue Management:
- Proactively identify potential risks and issues that may affect the project timelines and outcomes.
- Work with the team to develop mitigation plans and ensure timely resolution of blockers.
- Process Improvement:
- Continuously improve project management processes and methodologies to enhance productivity and delivery efficiency.
- Implement best practices and frameworks for AI project management across teams.
Skills and attributes for success:
- Strong project management skills with expertise in Agile methodologies, stakeholder management, and resource planning.
- Deep understanding of AI, machine learning, and data science concepts with the ability to communicate complex technical solutions to non-technical stakeholders.
- Excellent problem-solving, analytical, and communication skills.
- Familiarity with AI project workflows, tools, and platforms (e.g., TensorFlow, PyTorch, AWS, GCP, or Azure).
Preferred education and experience:
- 2-3 years of experience in program management, with experience in AI, machine learning, or data science-related fields.
- Proven experience leading cross-functional teams, delivering complex AI projects, and driving strategic execution.
- Bachelor's degree in CS, Engineering, Data Science, or a related field. A Master's degree or MBA is a plus.
About Us
Perched firmly at the nucleus of spellbinding content and innovative technology, JioStar is a leading global media & entertainment company that is reimagining the way audiences consume entertainment and sports. Its television network and streaming service together reach more than 750 million viewers every week, igniting the dreams and aspirations of hundreds of million people across geographies.
JioStar is an equal opportunity employer. The company values diversity and its mission is to create a workplace where everyone can bring their authentic selves to work. The company ensures that the work environment is free from any discrimination against persons with disabilities, gender, gender identity and any other characteristics or status that is legally protected.
If you would like more information about how your data is processed, please contact us.