Manager - AI Democratization & Upskilling

Wipfli India; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Wipfli India in Bengaluru is seeking a Manager - AI Democratization to drive delivery across multiple AI adoption workstreams. You will maintain Azure DevOps pipelines, coordinate training and adoption initiatives, and ensure alignment with the Pillar Lead.

This hands-on role blends project management, Scrum Master, and business analysis to keep work moving and provide leadership-level updates. The role requires 8 to 12 years of experience, strong collaboration across HR, L&D, and AI teams, and

Qualifications

• Bachelor's degree or equivalent professional experience.
• 6+ years of project or program coordination experience.
• Experience managing multiple connected workstreams with delivery evidence.
• Structured backlog management; Azure DevOps preferred.
• Working knowledge of Microsoft 365 and SharePoint.

Responsibilities

• Maintain pillar pipeline and Azure DevOps Epics, Features, and PBIs with owners, priorities, status, and dependencies.
• Coordinate AI training, knowledge assets, and role-based skills pathways.
• Collaborate with HR, L&D, AI teams, business liaisons, and regional teams to drive adoption.
• Prepare concise status updates, leadership summaries, and evidence-based progress.
• Maintain delivery evidence and ensure follow-through across workstreams.

Skills

Backlog management

Azure DevOps

Scrum facilitation

Business analysis

Delivery coordination

Stakeholder coordination

Communication

Microsoft 365

Change enablement

Education

Bachelor's degree or equivalent

Tools

Azure DevOps

SharePoint

Microsoft 365 Copilot

Job description

Position: Manager - AI Democratization

(8 to 12 years of experience)

Job Summary:

We are seeking a hands-on, India-based Project Manager to support the firmwide AI Democratization & Upskilling pillar. This role will keep the delivery pipeline moving, maintain reliable visibility in Azure DevOps, coordinate training and adoption initiatives, and ensure consistent follow-through with workstream owners. The position combines practical project management, Scrum Master, business analysis, and delivery coordination responsibilities across multiple concurrent workstreams. The Project Manager will report to the AI Democratization & Upskilling Pillar Lead and will coordinate plans, milestones, dependencies, risks, decisions, and evidence. The Pillar Lead retains responsibility for direction, priorities, leadership alignment, major output approvals, and overall accountability. This is an ongoing role and not a fixed term project assignment.

Essential Responsibilities:

Pipeline and work-item management

Maintain the pillar pipeline and assigned Azure DevOps Epics, Features, and Product Backlog Items (PBIs). Keep owners, priorities, status, next actions, dependencies, risks, decisions, and supporting evidence current. Follow up with owners and identify stalled, duplicate, cross-pillar, or unowned work.

• Maintain a clear and trusted view of new, active, blocked, and completed work.

Training and upskilling coordination

• Coordinate the inventory of current AI training, knowledge, and reusable assets.
• Support role-based skills pathways, learning activities, and the Training and Knowledge Plan.
• Organize audiences, owners, communications, participation, feedback, gaps, and follow-up actions.
• Turn recurring questions and learning gaps into practical improvements.

Adoption and stakeholder coordination

• Collaborate with HR, Corporate Communications, Learning and Development, AI teams, business liaisons, subject-matter experts, service lines, and regional teams.
• Support approved Champion, Super User, Business AI Liaison, pilot, and maturity activities.
• Convert agreed functional inputs into sequenced PBIs, coordinate assigned owners, and ensure visible follow-through.
• Run delivery cadences with functional designees, workstream owners, and SMEs; escalates blockers early to the Pillar Lead with options and a recommended next step.

Delivery management and reporting

• Convert approved priorities into sequenced actions and coordinate contributors through completion.
• Maintain action, risk, dependency, and decision tracking; validate reported progress against evidence.
• Prepare concise status updates, decision requests, and leadership summaries with recommended next steps.
• Maintain delivery evidence supporting reported progress, completed work, and leadership updates.

Required Qualifications:

• Bachelor's degree or equivalent relevant professional experience.
• Typically, six or more years of relevant experience in project or program coordination, with demonstrated capability in several areas such as business analysis, backlog or pipeline management, delivery management, learning operations, adoption, or change enablement.
• Experience managing multiple connected workstreams while maintaining reliable ownership, status, dependencies, and delivery evidence.
• Structured backlog-management experience is required; Azure DevOps experience is strongly preferred. Comparable experience with another work‑management platform may be considered.
• Working knowledge of Microsoft 365 and SharePoint.
• Ability to provide regular overlap with US working hours.

Skills and Abilities:

• Dependable self‑starter who creates structure from ambiguity and follows through without repeated prompting.
• Ability to coordinate across teams and functions without direct authority.
• Strong project management, delivery coordination, Scrum facilitation, and business analysis capabilities.
• Clear written and verbal communication, including concise leadership reporting and decision requests.
• Strong problem solving and sound judgment on what to resolve directly versus what to escalet, with clear context, options, and a recommended next step.
• Ability to keep pipeline data, records, and reported progress accurate, current, and evidence based.
• Proficient with Microsoft 365 and Microsoft 365 Copilot tools to organize work, synthesize information, and move multiple workstreams forward efficiently, with judgement to validate outputs before use.
• Genuine interest in practical AI adoption and building long‑term capability across the firm.

Work location:

Wipfli India, Bengaluru