Responsible AI Framework Specialist

Overview

Support the day-to-day operations of the Responsible AI programme and wider AI Strategy within the AI Centre of Excellence, helping the business navigate frameworks, track adoption, and maintain key tooling and communications.

What you'll do

• Maintain and update the Responsible AI Tracker, monitor Workday module completions and support the collation of metrics and insights for internal governance forums and external reporting.
• Own the upkeep of the Responsible AI SharePoint site, ensuring content is current, and publish updates, guidance, and FAQs to support business understanding and adoption.
• Support the development, refinement, improvement and automation of manual processes, working with stakeholders to clarify requirements, reduce complexity, and ensure processes remain effective, consistent, and fit for purpose.
• Support the broader adoption of the AI CoE strategy, contributing to internal communications, training sessions, and community of practice activities.
• Act as a first-line contact for queries from the business regarding Responsible AI processes and wider AI adoption standards, triaging and escalating technical or strategic queries to the appropriate CoE leads.
• Work closely with Responsible AI Specialists, platform teams, and business stakeholders to ensure Responsible AI and Centre of Excellence processes and standards are understood, adopted, continuously improved and automated where possible.
• Provide hands-on data expertise to support data-driven Responsible AI delivery, working with the Responsible AI team and supporting Group Platforms.

What you'll need

• Strong organisational skills, with the ability to manage multiple operational tasks.
• Strong stakeholder management skills, able to adjust communication styles to suit the audience.
• Familiarity with AI concepts and responsible AI principles such as fairness, explainability, and privacy.
• Experience using collaboration tools (e.g., SharePoint, Power BI, Workday, Teams).
• Comfortable working with data and reporting tools to track progress and surface insights.
• Familiarity with machine learning lifecycle management (MLOps) and frameworks.
• 8-13 years of experience (YOE: 8-13).

Nice to have

• Experience supporting AI Strategy development and adoption.
• Ability to communicate technical concepts clearly to non-technical stakeholders.
• Experience building and deploying AI models in production.
• Exposure to Responsible AI frameworks or governance processes (e.g., AI Assurance, consequence scanning methodology).
• Experience in a regulated industry such as banking or insurance.
• Understanding of change enablement and experience in cloud environments.
• Experience building or maintaining data pipelines.

Details

• Location: Hyderabad.
• Work mode: Hybrid.
• Flexible working options available.
• End date: Friday 23 October 2026.