Nomura Overview:

Nomura is a financial services group with an integrated global network. By connecting markets East & West, Nomura services the needs of individuals, institutions, corporates and governments through its four business divisions: Wealth Management, Investment Management, Wholesale (Global Markets and Investment Banking), and Banking. Founded in 1925, the firm is built on a tradition of disciplined entrepreneurship, serving clients with creative solutions and considered thought leadership. For further information about Nomura, visit.

Nomura Services, India supports the group's global businesses. With world-class capabilities in trading support, research, information technology, financial control, operations, risk management and legal support, the firm plays a key role in facilitating the group's global operations across four international regions.

At Nomura, creating an inclusive workplace is a priority. Our approach to inclusion encompasses a variety of initiatives, including sensitization campaigns, implementing conducive policies & programs, providing infrastructure support and engaging in community events. Over time, we have made meaningful progress in these areas, and this commitment has been well-recognized across the industry. We are proud recipients of the prestigious Top 10 Employers award by the India Workplace Equality Index (IWEI), IWEI Gold Employer of Choice awards, India CSR Leadership Award 2024 for Holistic Village Development Program and the YUVA Unstoppable Changemaker Awards.

Divisional Overview:

The Chief Data Office (CDO) plays a key role in defining and implementing the firm's data strategy and is responsible for defining and overseeing effective data, Cloud and AI governance for Nomura to enable data-driven regulatory compliance, data risk mitigation and improved data usability for analytics and AI. It is the central authority overseeing the Business and Corporate functions in complying with data, Cloud and AI governance requirements.

Business Overview:

AI Governance and Digitization Lead is a strategic role responsible for overseeing an organization's digital transformation and the responsible, compliant, and value-driven adoption of Artificial Intelligence. This position balances innovation with risk management, ensuring that AI initiatives align with business objectives, ethical standards, and evolving legal requirements

What We Offer:

We support employee wellbeing by ensuring a sense of purpose and belonging.
We offer a comprehensive range of wellbeing services which allows employees to get access to the assistance they need at any point in their wellbeing journey
Our bespoke benefits support employees and their family's holistic wellbeing and are inclusive of diverse identities and family structures

Job Responsibilities

- Technology Implementation & Tooling: Lead the evaluation, selection, and implementation of AI governance technology solutions specifically for advanced AI technologies like Generative AI, Agentic AI, Agents / Multi-Agent systems etc. Develop technical specifications and integration requirements to embed the advanced AI technology solutions as part of the overall AI governance tooling implementations.
- Risk Management: Conduct AI risk assessments and impact analyses to identify and mitigate potential risks such as bias, privacy violations, security vulnerabilities, and ethical concerns. Implement automated risk scoring mechanisms, bias detection tools, and continuous monitoring dashboards to scale risk management capabilities.
- Initiative Management & Digital Program Delivery: Act as the business owner for piloting AI technologies and digitization initiatives, managing project timelines, budgets, and the eventual roll-out of successful programs across the organization. Apply agile methodologies and project management frameworks to deliver governance automation projects.
- Process Digitization & Automation: Map current manual AI governance processes and design digitized workflows using tools such as workflow engines, RPA (Robotic Process Automation), and low-code/no-code platforms. Create automated approval workflows, notification systems, and self-service portals for model registration and risk assessments.
- Data & Analytics Management: Build and maintain centralized repositories for AI model metadata, governance metrics, and compliance documentation. Develop data pipelines and analytics capabilities to provide real-time visibility into AI model inventory, risk profiles, and governance status.
- Stakeholder Engagement & Change Management: Collaborate with cross-functional teams, including Legal, Compliance, IT, Data Science, and business units, to promote understanding, adoption, and alignment of AI initiatives with business goals. This includes developing and delivering AI governance training programs, user guides, and technical documentation for governance platforms.
- Monitoring & Reporting: Define and track key performance indicators (KPIs) and adoption rates for AI and digitalization initiatives. Design and implement automated reporting dashboards and analytics tools to provide regular insights for senior leadership and regulatory stakeholders. Leverage business intelligence platforms (e.g., Tableau, Power BI) for governance reporting.
- Training & Capability Building: Contribute to AI governance training and awareness programs, including creating digital learning modules, conducting hands-on workshops for governance platforms, and developing technical documentation for end-users.

Required Techno-Functional Skillset

Technical Competencies:

Experience with AI governance platforms and model risk management tools
Understanding of MLOps, model lifecycle management, and AI/ML development workflows
Understanding of testing / evaluation frameworks for Generative AI, Agentic AI & Agent based implementations
Ability to develop key metrics, generate reporting based on AI Governance framework requirements
Proficiency in workflow automation tools, RPA platforms, or low-code solutions
Knowledge of data governance frameworks and metadata management
Familiarity with API integrations, cloud platforms (AWS/Azure/GCP), and enterprise software architecture
Basic scripting capabilities (Python, SQL) for automation and data analysis
Experience with business intelligence and reporting tools

Functional Competencies:

Deep understanding of AI/ML concepts, model development lifecycle, and associated risks
Knowledge of AI regulations and standards (EU AI Act, NIST AI RMF, ISO 42001)
Process mapping and business process re-engineering skills
Project management methodologies (Agile, Scrum, Waterfall)
Change management and organizational transformation expertise
Business analysis and requirements gathering capabilities
Strong analytical and problem-solving skills with attention to detail

Soft Skills:

Ability to bridge technical and business stakeholders effectively
Strong communication skills to translate complex technical concepts
Collaborative mindset with experience working in cross-functional teams
Strategic thinking combined with hands-on execution capability

Skills, experience, qualifications and knowledge required:

Min of 8 years of experience in technology risk, compliance, or governance roles
Bachelor's degree in computer science, Data Science, Business, Risk Management, or related field
Understanding of AI/ML concepts and common use cases
Practical experience of implementing AI solutions is a plus
Knowledge of AI ethics and responsible AI principles
Familiarity with risk management frameworks and controls
Strong analytical and problem-solving skills
Excellent written and verbal communication abilities
Detail-oriented with strong organizational skills
Strong Project Management and documentation skills
Ability to work effectively with technical and non-technical stakeholders
Critical thinking and analytical mindset
Strong interpersonal and collaboration abilities
Self-motivated with ability to work independently
Adaptability to evolve technology and regulatory landscape

We are committed to providing equal opportunities throughout employment including in the recruitment, training and development of employees. We prohibit discrimination in the workplace whether on grounds of gender, marital or domestic partnership status, pregnancy, carer's responsibilities, sexual orientation, gender identity, gender expression, race, color, national or ethnic origins, religious belief, disability or age.

.Applying for this role does not amount to a job offer or create an obligation on Nomura to provide a job offer. The expression Nomura refers to Nomura Services India Private Limited together with its affiliates.

.The benefits are subject to change and will be in accordance with Company's policies as may be applicable from time to time).

VP - AI Governance