Digital Foundations - AI Op Model & Governance - Senior Manager

Accenture; Gurugram District; On-site; INR 3,000,000 - 6,000,000; Full time

Benefits offered by this job

Global exposure

Professional development

Competitive compensation

Job summary

Accenture is seeking an AI Op Model & Governance Senior Manager to lead AI operating model design, governance, and data management initiatives across major clients in India. The role involves shaping enterprise frameworks, governance structures, and cross‑functional delivery with senior stakeholders.

You will drive discovery workshops, build value realisation roadmaps, and guide clients on Responsible AI, MLOps, and compliance. 14–20 years’ experience is expected.

Qualifications

• MBA from a tier-1 institute preferred.
• 14 to 20 years of experience in strategy consulting or equivalent.
• 5+ years in AI operating model design, governance, and enterprise data management.
• Proven experience leading cross-functional design workshops with senior stakeholders.
• Experience with CIO/CTO/CDAO interactions to shape transformation roadmaps.
• Knowledge of GDPR/DPDP/CCPA and responsible AI concepts.

Responsibilities

• Define enterprise AI operating models, governance, and value realization frameworks.
• Shape target operating models including centre of excellence design and ownership models.
• Design policy, guardrails, and risk classification for AI programs.
• Advise clients on controls for GenAI, data access, explainability, bias, and lifecycle accountability.
• Lead discovery workshops and executive sessions to align priorities and investment cases.
• Drive budgeting, proposals, and delivery for AI Op Model engagements.

Skills

AI operating model

AI governance

Risk management

Executive stakeholder engagement

Data & analytics strategy

Data management concepts

Education

MBA

Tools

Collibra

Alation

Data catalog

MDM platforms

Cloud data platforms

Job description

AI Op Model & Governance Senior Manager

Join our team in Technology Strategy & Transformation to enable our most strategic clients to realize exceptional business value from Data Management, AI & Data Governance, and AI Operating Model design.

Practice: Technology Strategy & Transformation, Global Network | Areas of Work: AI & Data Operating Model & Governance | Level: Senior Manager | Location: Bangalore / Gurugram / Mumbai / Pune / Chennai / Kolkata / Hyderabad | Years of Experience: 14 to 20 years

Responsibilities

• AI Operating Model Design:
  • Define structural, governance, and process changes required to move from AI pilots to enterprise-scale adoption.
  • Shape AI target operating models covering AI Centre of Excellence design, federated vs. centralized ownership, talent and capability model, operating cadence, and cross‑functional ways of working.
  • Establish pilot‑to‑scale frameworks including use‑case intake, prioritization, value tracking, lifecycle management, model ownership, MLOps/LLMOps handoffs, business adoption, and change enablement.
  • Drive role clarity, process integration, and service management models to embed AI into enterprise delivery and business operations at scale.
• AI Governance & Risk Management:
  • Design pragmatic AI governance frameworks that balance innovation, control, and regulatory readiness.
  • Define policy and guardrail structures across Responsible AI, model risk, privacy, security, compliance, human oversight, and third‑party AI usage.
  • Establish governance processes for use‑case triage, risk classification, approval workflows, documentation standards, testing and validation, monitoring, incident response, and periodic review.
  • Advise clients on controls for GenAI and traditional AI across data access, prompt and output risk, explainability, transparency, bias and fairness, traceability, and model lifecycle accountability.
  • Translate emerging regulatory expectations and enterprise risk requirements into actionable governance operating mechanisms, roles, forums, and reporting.
• Data Operating Model & Data Management:
  • Define a Data & Analytics Operating Model to manage data across organizations, with exposure to core data management disciplines.
  • Support design of data ownership models, governance forums, policy structures, quality controls, and domain‑based roles.
  • Establish frameworks for effective data governance across multi‑speed implementations, defining ownership, policy, stewardship, accountability frameworks, regulatory compliance (GDPR, DPDP, CCPA), and associated processes.
  • Drive Data Capability Maturity Assessments for clients.
  • Design and implement metadata management capabilities, data lineage, data discovery, business glossary, and enterprise data catalog solutions, demonstrating expertise in Collibra, Alation, and data observability platforms.
• Data Platform & Cloud Strategy:
  • Demonstrate understanding of data platform strategy for data‑on‑cloud migrations, big data technologies, large‑scale data lake, and DW‑on‑cloud solutions.
  • Utilize expertise in cloud data platforms Google BigQuery, Azure Synapse, AWS Redshift, or equivalents.
• Executive Advisory & Stakeholder Engagement:
  • Lead discovery workshops and executive design sessions to identify Data & AI opportunities, clarify business pain points, and align stakeholders on strategic priorities.
  • Demonstrate consulting‑led problem structuring, hypothesis‑driven thinking, and convert ambiguity into actionable recommendations, roadmaps, and investment cases.
  • Engage CIO, CTO, CDAO, and business leadership on target state architecture, AI governance, operating model decisions, transformation sequencing, and value realization.
  • Use strong presentation, storytelling, and facilitation skills to influence senior stakeholders and drive alignment across business and technology teams.
• Budgeting & Proposals: Manage budgeting and forecasting activities and own proposal responses for AI Op Model engagements.

Qualifications

• Ms. Business Administration (MBA) from a tier‑1 institute preferred.
• 7–10 years of strategy consulting experience at a consulting firm.
• 5+ years of experience on projects showcasing skills across AI operating model design, AI governance and Responsible AI, enterprise operating model design, organizational design, governance forums, policy and control frameworks, and broader data management exposure.
• Proven experience leading cross‑functional discovery and design workshops, driving structured discussions to extract insights, align diverse stakeholders, and translate inputs into clear value propositions, recommendations, and actionable roadmaps.
• Experience working with CIO, CTO, CDAO, and senior business stakeholders to shape transformation agendas and build executive‑ready recommendations.
• Working exposure to one or more data management domains such as Data Governance, Master Data (MDM), Data Quality, Metadata Management, or Data Catalog.
• Experience in data governance technologies: Collibra, Alation, Talend, Informatica, SAP MDG, Stibo, Alteryx, or equivalent.
• Experience in at least two MDM technologies (Informatica MDM, Reltio, SAP MDG, or equivalent).
• Deep understanding of data supply chain and building value realisation frameworks for data transformations.
• 5+ years of experience leading or managing teams, including planning, structuring analytical work, facilitating team workshops, and developing Data & Analytics strategy recommendations.
• Knowledge of enterprise data architecture concepts through practical experience with Digital Core, Data Mesh, API‑first, AI Centre of Excellence design.
• Foundational understanding of data privacy (GDPR, DPDP, CCPA) and Responsible AI.
• Strong understanding in financial services, retail, consumer goods, telecom, life sciences, transportation, automotive/industrial, or equivalent industries preferred.
• CDMP Certification from DAMA preferred.
• Cloud Data & AI Practitioner Certifications (Azure, AWS, Google) desirable but not essential.

Benefits

• Opportunity to work with key G2000 clients.
• Potential to collaborate with industry experts, enterprise function practitioners, and business intelligence professionals to shape innovative solutions leveraging emerging technologies.
• Ability to embed into everything from client service delivery to internal operations as a responsible professional.
• Personalized training modules to develop skills, industry knowledge, and capabilities.
• Engage in boundaryless collaboration across the entire organization and thrive in a culture committed to accelerating equality for all.

At the heart of every great change is a great human. If you have ideas, ingenuity and a passion for making a difference, join us to bring innovation to the most strategic clients worldwide.