AI & Governance – Technical Manager

Keka Inc.; Hyderabad; Remote; INR 350,000 - 700,000; Full time

Job summary

Keka Inc. in Hyderabad, India seeks an experienced AI Transformation Project Manager to lead AI adoption across enterprise security, ensuring PCI DSS and GDPR compliance. You will drive measurable value through governance, change management, and scalable AI-enabled processes.

Applicants bring 12–15 years in programme management, strong stakeholder skills, and a track record delivering AI-enabled transformations at scale in regulated environments.

Qualifications

• 12–15 years of overall professional experience in project/programme management of technology or transformation initiatives.
• Experience driving AI/digital adoption and transformation programmes at scale.
• Understanding of enterprise AI / GenAI tools and embedding them into business workflows.
• Experience in payment technology and/or information security domain.
• Working knowledge of PCI DSS, GDPR, and information security/data protection principles.
• Excellent stakeholder management, change management, communication, and influencing skills.
• Strong analytical mindset; defines KPIs/OKRs and tracks adoption and benefits realization.
• Ability to operate in a regulated, security-sensitive environment with governance discipline.
• Portfolio or program management across cross-border teams.

Responsibilities

• Drive AI penetration and adoption across Security units and teams.
• Manage and maintain the AI transformation portfolio, removing technical and organizational blockers.
• Define and oversee agentic AI initiatives, including governance and human-in-the-loop requirements.
• Increase AI awareness through sessions, webinars, and tech talks.
• Align AI initiatives with the Group Security North Star strategy and objectives.
• Identify and scale high-value AI use cases with a clear adoption roadmap.
• Lead AI-enabled process transformation to improve efficiency and quality.
• Plan, govern, and deliver AI adoption projects end-to-end (scope, timelines, budget, risks).
• Drive change management, training, and communities of practice to sustain adoption.
• Define and track KPIs/OKRs to measure adoption, productivity gains, and value.
• Collaborate with security leaders to remove blockers and align priorities.
• Maintain governance, manage risks, and report on adoption, value, and compliance.

Skills

Programme management

AI adoption

GenAI tools

Security governance

PCI DSS & GDPR

Stakeholder management

KPIs & OKRs

Regulatory environment

Cross-border collaboration

Remote work

Job description

Job Description: AI & Governance - Technical Manager

We are seeking an experienced AI Transformation Project Manager to lead and accelerate AI adoption across the ORG wide Security. Operating in a highly regulated environment governed by PCI DSS and GDPR, this role drives AI-led productivity, use-case adoption, and end-to-end process transformation in close alignment with our North Star strategy and Security Roadmap. The ideal candidate combines strong programme and project management discipline with a passion for AI deployment, change management, and delivering measurable business value, all while upholding the highest standards of information security and data protection.

Required Skills & Experience

• 12 - 15 years of overall professional experience, with a strong track record in project / programme management of technology or transformation initiatives.
• Demonstrated experience driving AI, digital, or productivity-led adoption and transformation programmes at scale.
• Practical understanding of enterprise AI / GenAI tools and how to embed them effectively into business workflows.
• Experience operating within the payment's technology and / or information security domain.
• Working knowledge of PCI DSS, GDPR, and core information security and data protection principles.
• Excellent stakeholder management, change management, communication, and influencing skills.
• Strong analytical mindset, with experience defining KPIs / OKRs and tracking adoption and benefits realisation.
• Ability to operate in a regulated, security-sensitive environment with strong governance discipline.
• Ability to work remotely with minimal supervision, adapt to changing priorities, and interact effectively with diverse teams.
• Portfolio or program management experience across cross-border teams and business units.

Key Responsibilities

• AI Penetration & Adoption: Drive the adoption and depth of AI across Security, expanding reach and usage across teams.
• AI Transformation Portfolio: Manage and maintain the AI transformation portfolio; monitor progress and unblock technical and organizational barriers with strong leadership.
• Agentic AI & Autonomous Tasks: Define and oversee agentic AI initiatives, including autonomous task execution and decision-support automation; establish ethical guardrails, monitoring, containment measures, and human-in-the-loop requirements; validate outcomes and ensure safe production deployment.
• Awareness & Engagement: Increase AI awareness in Security through inspiration sessions, webinars, and tech talks to sustain momentum.
• North Star Alignment: Ensure all AI initiatives are designed and prioritized in alignment with the Group Security North Star strategy and security objectives.
• Use Case Identification & Adoption: Identify, prioritize, and scale high-value AI use cases; build and manage a use‑case pipeline and adoption roadmap with clear ownership.
• Process Transformation: Lead AI-enabled process transformation to improve efficiency, quality, turnaround time, and operational excellence.
• Programme & Project Delivery: Plan, govern, and deliver AI adoption projects end-to-end (scope, timelines, budget, dependencies, risks, benefits realization).
• Change Management & Community Building: Drive change management, training, communications, and AI communities of practice to sustain adoption and cultivate adoption champions.
• KPI & Benefits Realisation: Define and track KPIs and OKRs to measure AI adoption, productivity gains, and value delivered; report progress to leadership.
• Stakeholder Management: Partner with security leaders, CISO office, product, engineering, and business teams to align priorities and remove blockers.
• Governance, Risk & Reporting: Maintain robust governance over AI adoption, manage risks, and provide transparent reporting on adoption, value, and compliance.

Security & Compliance Focus

• Ensure all AI adoption initiatives comply with PCI DSS, GDPR, and internal information security and data security policies.
• Partner with the CISO office, Information Security, and Data Privacy teams to enable responsible, compliant, and secure AI usage.
• Safeguard sensitive cardholder and personal data; enforce data classification, handling, and protection standards across AI use cases.
• Embed security-by-design and privacy-by-design principles into AI-enabled processes, tools, and ways of working.

Preferred - Good to Have

• Exposure to AI governance, responsible AI, or AI risk management frameworks.
• Familiarity with North Star and OKR-based strategic execution.
• Experience establishing AI champion networks and communities of practice within a large organisation.