pimpri chinchwad maharashtra chief executive officer Jobs – 14 Open Jobs Today

AI Governance Lead - Operational- Vice President 1
Apex Group —Baner, Pune, Maharashtra
- Full-time
- AI
- Communication skills
Chief Financial Officer(CFO)
Nectar Infotel Solutions —Pune, Maharashtra
- Finance
- Master's degree
- Analysis skills
Chief Engineer/Vice President
SED-AMENITY PLOT NO 2 —Pune, Maharashtra
- Full-time
- PMP
- Master's degree
- Project management
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13d
AI and Data Stewardship - Assistant Vice President 3
Apex Group —Baner, Pune, Maharashtra
- Full-time
- AI
- Leadership
- Communication skills
CISO (Chief Information & Security Officer)
Energy Exemplar —Pune, Maharashtra
- Azure
- Computer Science
- AWS
Global Head of Cyber Defence
Apex Group —Baner, Pune, Maharashtra
- Full-time
- Management
- Computer Science
- Analysis skills
Service Delivery Manager (SDM) - Cloud Operations
Northern Trust Corp. —Pune, Maharashtra
- Full-time
- Azure
- Computer Science
- DevOps
Senior Executive/Manager – Accounts and Finance
Nayanta University —Bavdhan, Pune, Maharashtra
- Full-time
- ERP systems
- Microsoft Office
- Finance
Sr-BDE
Verinite —Pune, Maharashtra
- Full-time
- Sales
- Communication skills
BDE-EXSITING MARKET
Verinite —Pune, Maharashtra
- Full-time
- Communication skills
Manager Business Analysis
ASPERA Advisors —Pune, Maharashtra
- Online application
- Microsoft Powerpoint
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- Microsoft Excel
Gen AI Engineer
Zycus —Pune, Maharashtra
- Full-time
- Azure
- ERP systems
- System design
Senior Analyst â€“ Supply Chain & Operations (Spend Analysis)
Zycus —Pune, Maharashtra
- Full-time
- Microsoft Excel
- Master's degree
- Analysis skills
Principal Data Engineer
SiteMinder —Pune, Maharashtra
- Full-time
- Hybrid work
- Master's degree
- SQL
- Machine learning
- Health insurance

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AI Governance Lead - Operational- Vice President 1

Apex Group -
Baner, Pune, Maharashtra

Apply Now

Job details

Full-time

Qualifications

Software deployment
NIST standards
Risk management
Linked data
AI
RMF
Communication skills

Full job description

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 AI Risk Assessment Lead / Operational AI Governance Lead is a leadership role within the Office of the Chief AI & Data Officer (CDAO), responsible for operationalizing the enterprise AI Governance and Responsible AI framework.

This role owns the end-to-end AI risk assessment lifecycle, ensuring that all AI use cases, models, and AI agents are systematically assessed for risk, documented, approved, monitored, and continuously governed in line with regulatory, ethical, and business requirements.

This role acts as the central execution authority for AI risk and controls, bridging AI product teams, risk management, compliance, legal, security, and data governance. This is a high-impact, execution-focused role operating in a fast-paced environment where AI systems are being rapidly deployed and must be governed at scale.

Strategic Objectives of the Role

This role exists to:

Ensure AI systems are safe, compliant, and trustworthy
Embed risk-by-design into the AI lifecycle
Enable rapid AI innovation with controlled risk
Provide audit-ready AI governance
Protect the organization from regulatory, reputational, and ethical AI risks

Key Responsibilities

1. AI Risk Assessment Framework (Core Mandate)

Design and operationalize the enterprise AI Risk Assessment Framework.
Define risk taxonomy across:
- Model risk
- Data risk
- Bias & fairness
- Explainability
- Security & privacy
- Regulatory & ethical risk
Establish/Update risk scoring and tiering (Low / Medium / High / Prohibited).

2. AI Use Case Intake & Approval

Own the AI use case intake and triage process.
Lead risk assessments for:
- New AI use cases
- Model changes and retraining
- AI agents and autonomous systems
Facilitate AI approval forums and control gates.
Provide go/no-go recommendations.

3. Model & Agent Governance

Ensure all AI models and agents are:
- Registered in the AI registry
- Documented with model cards
- Linked to data sources and lineage
Define operational controls for:
- Human-in-the-loop
- Explainability
- Monitoring and drift
- Kill-switches and fallback mechanisms

4. Regulatory & Audit Readiness

Ensure alignment with:
- NIST AI RMF
- ISO 42001
- EU AI Act
- Model Risk Management (SR 11-7)
- DORA, GDPR, internal policies
Prepare AI governance evidence for:
- Regulators
- Internal audit
- External auditors

5. Continuous Monitoring & Control

Define AI monitoring requirements for:
- Bias and fairness
- Performance drift
- Data drift
- Model degradation
Partner with Data and AI engineering to implement:
- Alerts
- Thresholds
- Escalation workflows

6. Cross-Functional Influence & Enablement

Act as the AI risk advisor partnering with Head of AI Governance:
- Product teams
- Risk & Compliance
- Legal
- Security
- Data Governance
Translate technical AI risks into enablement:
- Business risk language
- Regulatory exposure
- Financial and reputational impact
Drive adoption of Responsible AI practices across the organization.

Required Experience & Skills

AI & Risk Expertise (Strong Requirement)

8–10 years in:
- AI governance
- Model risk management
- Technology risk
- Data risk / compliance
Strong understanding of:
- ML/GenAI lifecycle
- Model development and deployment
- LLMs, agents, and foundation models

Regulatory & Governance Knowledge

Deep familiarity with:
- NIST AI RMF
- ISO 42001
- EU AI Act
- SR 11-7 / model risk
- GDPR, DORA
Experience operating in regulated industries (FS, healthcare, insurance, fintech).

Technical Fluency

Ability to engage with: Data scientists, ML engineers, Platform teams
Understanding of:
- Model cards
- Training vs inference pipelines
- MLOps monitoring tools

Communication & Operating Style

Exceptional executive communication skills
Ability to influence without authority
Comfortable operating in a fast-paced, high-ambiguity environment
Strong facilitation and decision-making under pressure
Able to balance innovation with risk pragmatically

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.

Apply Now

Refine Your Search

chief executive officer jobs in pimpri chinchwad maharashtra

AI Governance Lead - Operational- Vice President 1

Chief Financial Officer(CFO)

Chief Engineer/Vice President

AI and Data Stewardship - Assistant Vice President 3

CISO (Chief Information & Security Officer)

Global Head of Cyber Defence

Service Delivery Manager (SDM) - Cloud Operations

Senior Executive/Manager – Accounts and Finance

Sr-BDE

BDE-EXSITING MARKET

Manager Business Analysis

Gen AI Engineer

Senior Analyst â€“ Supply Chain & Operations (Spend Analysis)

Principal Data Engineer

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