31 Jul
|
Apex Group
|
Pune
The Apex Group was established in Bermuda in 2003 and is now one of the world’s largest fund administration and middle office solutions providers.
Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard-working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide.Your career with us should reflect your energy and passion.
That’s why, at Apex Group, we will do more than simply ‘empower’ you. We will work to supercharge your unique skills and experience.
Take the lead and we’ll give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry-changing realities.
For our business, for clients, and for you The Data & AI Stewardship Lead is a senior, business-facing leadership role within the Office of the Chief AI & Data Officer (CDAO), reporting directly to the Head of AI & Data Governance.
This role is responsible for operationalizing the enterprise Data and AI Governance strategy through a strong stewardship model that ensures data and AI assets are well understood, trusted, properly documented, and responsibly used across the organization.
The role acts as the primary execution lead for stewardship, bridging business domains, technology teams, risk, compliance, and product organizations, and driving enterprise adoption of governance platforms such as Informatica Data Catalog / Axon / IDMC.
This is a highly influential role requiring exceptional communication, facilitation, and change leadership skills.
Strategic Objectives of the Role
This role exists to
Make AI and Data Governance real and operational for the business
Ensure data and AI accountability is embedded into day-to-day workflows
Enable trusted data and responsible AI at scale
Drive measurable business value from metadata, lineage, and stewardship
Key Responsibilities
1.
Enterprise
Data & AI Stewardship (Core Mandate)
Design and lead the enterprise Data & AI Stewardship Operating Model.
Establish and manage the network of:
Data Stewards
AI Stewards
Product / Domain Owners
Define stewardship roles, responsibilities, and escalation paths.
Ensure accountability for
Critical data assets
AI use cases and models
Data products and pipelines
2.
Informatica Platform
Leadership (Metadata at Scale)
Serve as the business owner for Informatica governance platforms:
Informatica Data Catalog (EDC / IDMC)
Axon Data Governance
Drive enterprise adoption and value realization of:
Business glossary
Critical data elements (CDEs) (definition & ownership only)
End-to-end lineage
Data classification and sensitivity tagging
Translate technical metadata into business-relevant insights and decisions.
- AI Use Case & Model Stewardship
Ensure all AI assets are:
Registered in AI / data catalogs / AI registries
Properly documented (purpose, ownership, data sources, risks)
Aligned to responsible AI requirements (fairness, explainability, traceability)
4.
Stewardship Operating
Model & Business Adoption
Build and run the enterprise stewardship community of practice.
Define stewardship playbooks, onboarding, and training.
Embed stewardship into
Product lifecycle
AI development lifecycle
Architecture and change processes
Act as the primary business advocate for metadata and ownership.
- Communication, Influence & Change Leadership (Most Important)
Run enterprise stewardship forums, councils, and working groups.
Evangelize
“Data as a Product”
“AI as a governed business capability”
Drive cultural adoption of governance as enablement, not compliance.
Required Experience & Skills
Skilled Experience
8–10+ years in Data Governance, AI Governance, Data Management, or Analytics Leadership
Proven experience operating in a federated, enterprise environment
Experience working with senior stakeholders (VP / SVP / C-level)
Informatica Expertise (Strong Requirement)
Hands-on experience with:
Informatica Data Catalog (EDC / IDMC)
Axon Data Governance
Metadata management and lineage
Data classification and business glossary
AI & Responsible AI Knowledge
Strong understanding of
AI lifecycle and use case management
Model documentation (model cards, inventories)
Data sourcing for AI systems
Familiarity with
NIST AI RMF
ISO 42001
EU AI Act / regulatory AI expectations
Communication & Influence (Critical Differentiator)
Exceptional stakeholder management and facilitation skills
Ability to influence without formal authority
Strong executive communication and storytelling capability
Proven experience driving organizational change
Disclaimer: Unsolicited CVs sent to Apex (Talent Acquisition Team or Hiring Managers) by recruitment agencies will not be accepted for this position. Apex operates a direct sourcing model and where agency assistance is required, the Talent Acquisition team will engage directly with our exclusive recruitment partners.
📌 AI and Data Stewardship - Assistant Vice President 3 (Pune)
🏢 Apex Group
📍 Pune