Head - AI Enablement & Productivity Office

greytHR; Bengaluru; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

greytHR in Bengaluru is seeking a dynamic individual to lead the AI Transformation Office. In this role, you will oversee the internal AI strategy and implementation, aimed at driving productivity and operational effectiveness across the organization.

The ideal candidate will have an MBA and extensive experience in transformation and business operations, with a strong understanding of AI and automation patterns. You will establish governance frameworks and enable teams to adopt AI effectively.

Qualifications

• 10-18 years experience in transformation, business operations, or operational excellence.
• Demonstrated ability to drive initiatives without direct authority.
• Strong communication and interpersonal skills.

Responsibilities

• Build the AI Transformation Office and operating model.
• Establish governance with IT and functional leaders.
• Create a champions network for AI initiatives.
• Drive execution cadence and performance reviews.
• Enable teams with internal playbooks and automation.

Skills

Cross-functional change management

Stakeholder management

Leadership

AI/automation patterns

Education

MBA from a reputed institution

Job description

Position Purpose

Greytip Software is India's largest cloud HR & Payroll software solutions company. With a customer base of over 30,000 customers we touch the lives of 3 Mn+ employees daily. Our mission is to improve people‑centric practices and performance in SMEs (Small and Medium Enterprises) through our cloud solution, greytHR.

Role objective

As we prepare our organization to adapt and leverage the rapid changes AI is bringing in, we are looking for a dynamic individual who will help oversee the internal AI strategy, its implementation and enable us to build an organization that can continually evolve and incorporate the advantages that AI can bring to our people and processes.

The key objective will be to build and run greytHR's AI Transformation Office to drive measurable improvements in internal productivity, cycle time, quality, and operational effectiveness using AI and automation while ensuring reuse, governance, and strong leader accountability.

This is a transformation operator role: you will set up the operating system (cadence, portfolio, stage‑gates, scorecards, enablement) that makes AI adoption real across the company.

Key responsibilities

• Build the AITO operating model, define the charter, scope boundaries, and ways of working.
• Establish a lightweight governance model with Security/IT and functional leaders.
• Create a champions network (one AI Champion per function/LoB) with clear responsibilities and time allocation.
• Own the AI initiative portfolio end‑to‑end: set up an initiative intake and prioritization mechanism (ROI, feasibility, reuse, risk), maintain the single source of truth initiative register (stages, owners, baselines, targets, adoption, risk).
• Drive a stage‑gate pipeline (Discovery, Pilot, Scale, Retire) with clear criteria.
• Drive execution cadence and leader accountability: run weekly triage and unblock sessions with champions, run biweekly leader reviews, run monthly CEO AI Council readout, publish transparent performance views.
• Enable teams: build and maintain internal playbooks and reusable patterns, develop internal knowledge assistants, workflow automation, evaluation templates, create a reuse library, partner with IT/Security on tool approvals and safety guidelines.
• Benefits realization & measurement discipline: ensure baseline, instrumentation, target metrics, validate claims, build cost‑to‑value tracking.
• Team building: hire and manage a lean core team (PM + Solutions/Automation lead(s)), leveraging federated delivery via champions.

Required Experience & Capabilities

MBA from a reputed institution.

10‑18 years experience in transformation / business operations / strategy & ops / operational excellence / intelligent automation, ideally in a tech or ops‑heavy environment.

Demonstrated ability to drive cross‑functional change without direct authority.

Track record of delivering measurable outcomes: productivity, cycle time, quality, cost‑to‑serve, automation adoption.

Strong program leadership: portfolio management, stage‑gates, reviews, stakeholder alignment.

Applied understanding of AI/automation patterns (LLMs, RAG, workflow automation, evaluation, monitoring).

Strong comfort with governance: security/data awareness, auditability mindset.

Strong stakeholder management; can hold senior leaders accountable.

Excellent communication and interpersonal skills, ability to influence and collaborate at all levels.