Role Responsibilities:
- Define program roadmaps and project plans for AI-driven initiatives, ensuring alignment with business objectives.
- Oversee program budgeting, timelines, and resources across multiple cross-functional workstreams.
- Collaborate with data governance leads to incorporate policies, standards, and best practices into AI initiatives.
- Integrate data quality, metadata management, and compliance requirements into AI project lifecycles.
- Promote responsible AI guidelines, ensuring transparency, fairness, and compliance with relevant regulations.
- Provide clear communication channels and reporting structures for AI and governance initiatives.
- Conduct regular briefings, workshops, and training sessions to build awareness and drive adoption of AI governance practices.
- Act as the bridge between technical teams and executive leadership to clarify program objectives and progress.
- Track key program metrics (e.g., budget, schedule, quality) to evaluate project success and identify improvement areas.
- Implement feedback loops, post-implementation reviews, and lessons learned to optimize future AI programs.
- Ensure adherence to data protection laws and internal governance policies for all AI initiatives.
- Collaborate with Legal, Security, and Compliance teams to proactively address regulatory risks and audits.
- Manage relationships with third-party vendors and consultants for AI solutions and data governance toolsets.
- Document program processes, standards, and frameworks, ensuring organizational learning and repeatable success.
- Foster a culture of continuous learning and innovation within AI and data governance.
Minimum Experience, Essential Knowledge & Skills:
- 10 years’ experience in a similar role.
- Experience in program/project management of large-scale AI or data-related initiatives.
- Strong understanding of Responsible AI & Ethical Principles
- Best practices for data classification and Strategies for continuous integration, delivery, and monitoring of AI models.
Minimum Qualifications:
- Bachelor’s Degree in Computer Science or Engineering.
Preferred Certifications / Other Qualifications:
- Master Degree or equivalent in an area related to Data Science, AI, Business Analytics, or Information Management.
