Process Reinvention Hub (PRH) Manager / Senior Manager

Role summary (ML7 - Manager)

The PRH Manager is responsible for delivering transformation initiatives that combine process reinvention, business consulting, data-driven decision making, and AI-enabled ways of working. The role sits at the intersection of strategy and execution.

Managers are expected to lead workstreams, manage client stakeholders, coach consultants and analysts, develop transformation assets, and support business development activities.

They serve as trusted engagement leaders who can move from problem identification through solution design and implementation while ensuring delivery excellence and measurable value realization.

The PRH Manager contributes to the three core PRH domains — Process Reinvention, Data & Analytics Enablement, and AI-Driven Transformation — explicitly identified as the foundation of the PRH operating model.

Key responsibilities:

1. Engagement delivery leadership

Lead medium-to-large transformation workstreams and client engagements.

• Manage day-to-day engagement execution

• Lead workshops and stakeholder sessions

• Drive issue resolution

• Maintain project governance

• Manage risks and dependencies

• Ensure quality of client deliverables

• Monitor realization of business outcomes

• Manage client and Accenture project stakeholders, ensuring alignment, transparency, and trust throughout the engagement

Accountable for scope management, timeline adherence, delivery quality, and client satisfaction.

2. Process transformation consulting

Lead process improvement and redesign activities.

• Current-state assessments

• Process mapping

• Process mining interpretation

• Root-cause analysis

• Future-state design

• Service delivery optimization

• Operating model recommendations

Expected outcomes: improved efficiency, reduced cycle times, better customer experience, and enhanced operational performance — aligning directly with PRH’s focus on business process reinvention and end-to-end redesign.

3. Data and analytics enablement

Support organizations in becoming data-driven. Leads activities including:

• KPI design

• Business metrics development

• Dashboard requirements definition

• Data quality improvement initiatives

• Reporting transformation

• Performance management frameworks

Responsible for translating business requirements into data needs, defining value measurement approaches, supporting Power BI and reporting initiatives, and enabling insight-based decision making — as PRH positions trusted data and measurable performance as a key transformation pillar.

4. AI transformation and innovation

Identify and operationalize AI opportunities.

• AI use case identification

• Process suitability assessments

• Copilot and GenAI adoption initiatives

• Intelligent automation opportunities

• Agentic workflow identification

• Productivity improvement analysis

Expected outcomes: faster execution, reduced manual effort, improved decision support, and enhanced employee experience — contributing to PRH’s AI-driven transformation agenda and reusable AI accelerators.

5. Client relationship management

Serve as a trusted day-to-day advisor.

• Client stakeholder engagement

• Status communication

• Executive reporting

• Workshop facilitation

• Expectation management

• Change management support

Expected behaviors: demonstrate business acumen, provide practical recommendations, build trust across stakeholders, and represent PRH professionally.

6. Capability development and asset creation

Contribute to building PRH’s intellectual property and reusable assets.

• Create methodologies

• Build templates and accelerators

• Capture lessons learned

• Develop playbooks

• Maintain knowledge repositories

• Build demo environments and showcases

Supports the documented PRH objective that every engagement should become a reusable framework or asset.

7. People leadership and coaching

Develop high-performing teams.

• Coach analysts and consultants

• Conduct career conversations

• Support talent discussions

• Develop capability plans

• Provide performance feedback

• Lead training sessions

Expected outcomes: improved capability maturity, faster onboarding, higher engagement, and a strong succession pipeline — the FY27 PRH direction explicitly emphasizes credential development, capability growth, and practitioner readiness.

8. Business development support

Support growth activities and pipeline generation.

• Conduct opportunity research

• Support proposal development

• Prepare client presentations

• Build business cases

• Contribute to pursuit shaping

• Participate in client discussions

Expected contribution: qualified opportunities, proposal support, transformation storytelling, and capability positioning — PRH’s operating model highlights participation in pursuit shaping, solution design, and opportunity qualification.

Preferred skills

Process transformation

• Business Process Management

• Lean

• Six Sigma

• Process Improvement

• Process Mining

• Operating Model Design

Data & analytics

• Power BI

• Advanced Excel

• Reporting & KPI Design

• Data Governance Fundamentals

• Analytics Storytelling

AI & digital

• Copilot

• Generative AI

• Intelligent Automation

• Digital Transformation

• Process Digitization

Consulting skills

• Workshop Facilitation

• Executive Communication

• Problem Solving

• Stakeholder Management

• Storytelling

• Structured Thinking

Success measures

The Manager role is evaluated on five dimensions aligned to the emerging PRH scorecard.

• Delivery Excellence
  • Project success

• • Client satisfaction

• • Quality of deliverables

• • On-time execution
• Capability Growth
  • Assets developed

• • Knowledge contributions

• • Certifications achieved

• • Capability-building activities led
• Talent Development
  • Team coaching effectiveness

• • Talent retention

• • Skill development outcomes

• • Practitioner readiness
• Growth Contribution
  • Proposal participation

• • Opportunities supported

• • Client introductions

• • Pipeline influence
• Innovation
  • AI solutions adopted

• • Productivity improvements identified

• • Reusable accelerators created

• • Transformation improvements delivered

Expected leadership behaviors

A successful PRH Manager demonstrates the following behaviors:

• Lead Delivery
  • Own outcomes and drive execution.
• Simplify Complexity
  • Turn ambiguous business problems into actionable workplans.
• Build Capability
  • Develop people while delivering client value.
• Drive Innovation
  • Continuously identify better ways of working through process, data, and AI.
• Commercial Mindset
  • Understand how delivery contributes to growth and capability expansion.

Executive expectations

A PRH Manager is not simply a project manager. They are expected to function as a transformation leader and capability builder. Their primary mission is to:

• Deliver transformation outcomes

• Develop future consultants and managers

• Create reusable PRH assets

• Advance AI-enabled ways of working

• Contribute to practice growth

In a mature PRH operating model, Managers are the leaders who convert transformation concepts into delivered client impact while building the capability and talent foundation needed for scalable growth. This role sits at the center of PRH’s growth, capability, productivity, and talent agenda.

Role summary (ML6 - Senior Manager)

The PRH Senior Manager leads end-to-end business transformation initiatives that combine process reinvention, data-driven decision making, and AI-enabled operating model transformation. The role is the bridge between client business challenges, capability development, solution design, and execution.

The individual drives growth, shapes opportunities, develops reusable assets, leads client engagements, builds practitioner capability, and delivers measurable business outcomes across transformation programs.

This Senior Manager positions PRH as a strategic capability that accelerates client value creation through process redesign, data engineering, automation, analytics, and AI-enabled transformation — anchored in PRH’s focus areas of Process Reinvention, Data Engineering, and AI-Driven Transformation.

Key responsibilities: (ML6 - Senior Manager)

1. Client transformation leadership

Lead large-scale transformation initiatives from diagnostic through implementation.

• Conduct transformation assessments and maturity evaluations

• Lead process discovery and process mining engagements

• Facilitate design-thinking and future-state workshops

• Develop transformation roadmaps

• Define business cases and value realization plans

• Establish operating model redesign recommendations

• Guide implementation execution and adoption

• Manage client and Accenture project stakeholders, ensuring alignment, transparency, and trust throughout the engagement

Expected outcomes: improved efficiency, cost reduction, productivity enhancement, better customer and employee experience, and sustainable operational performance.

2. Process reinvention leadership

Serve as a recognized subject matter expert in process transformation, leading:

• End-to-end process redesign

• Operating model transformation

• Shared services optimization

• GCC enablement

• Digital process transformation

• Service delivery modernization

Applies techniques including Lean, Six Sigma, BPM, Process Mining, Digital Twin simulations, and value stream analysis — fixing how work runs before automation is introduced.

3. Data and analytics transformation

Partner with business, technology, and data teams to build data-driven enterprises. Leads initiatives involving:

• Enterprise reporting

• KPI frameworks

• Data quality improvement and data governance

• Data engineering requirements

• Performance management systems

• Power BI and visualization strategy

Accountable for defining business metrics, establishing value measurement approaches, and driving adoption of data-led decision making — building trusted data foundations, KPIs, and controls.

4. AI and intelligent operations leadership

Identify and scale AI-enabled transformation opportunities. Leads:

• Generative AI use case definition

• Agentic AI solution design

• Workflow automation opportunities

• Human-in-the-loop governance models

• AI operating framework design

• AI adoption and change programs

Develops business cases, defines implementation approaches, ensures responsible AI adoption, and measures realized benefits — positioning AI as an outcome layer built on reinvented processes and trusted data.

5. Growth and sales leadership

Drive market growth and revenue generation.

• Identify and qualify opportunities

• Build transformation hypotheses

• Develop pursuit strategies and executive presentations

• Lead client workshops

• Participate in proposal development and deal shaping

• Build relationships with Reinvention Partners and account leadership

Typical targets: pipeline creation, qualified opportunities, revenue influence, and conversion of pursuits into engagements.

Business development support

Support growth activities and pipeline generation.

• Conduct opportunity research

• Support proposal development

• Prepare client presentations

• Build business cases

• Contribute to pursuit shaping

6. Capability and practice building

Help build and scale PRH as an enterprise capability by leading:

• Methodology development

• Asset creation and reusable accelerators

• Knowledge management

• Solution frameworks and demonstration assets

• Capability collateral

Expected contribution: build repeatable offerings, increase delivery scalability, and strengthen market differentiation through codified, reusable frameworks.

7. Talent leadership

Develop future transformation leaders.

• Coach Managers, Consultants, and Analysts

• Conduct career and talent discussions

• Support succession planning

• Lead capability development programs

• Drive certification and credential attainment

• Build AI and transformation skills

Accountable for team engagement, career growth, staff development, deployment readiness, and talent retention.

8. Governance and program leadership

Oversee complex transformation programs.

• Executive steering committees

• Program governance and status reporting

• Risk management and benefits tracking

• Stakeholder alignment and change management

Manages scope, budget, timeline, resource planning, and quality assurance.

Success measures

The PRH Senior Manager is measured across five dimensions that mirror the FY27 PRH operating model — Growth, Capability, Productivity, Talent, and Culture.

Growth

• Pipeline generated

• Qualified pursuits

• Client expansions

• Revenue influenced

Capability

• Assets developed

• Reusable frameworks created

• Certifications and credentials achieved

Delivery

• Client outcomes realized

• Program success

• Value realization

Talent

• Team engagement

• Deployment readiness

• Leadership development

• Retention

Innovation

• AI use cases deployed

• Productivity gains achieved

• Transformation accelerators created

Executive expectations

A PRH Senior Manager is not merely a delivery leader. The role functions as a mini-practice leader, balancing four responsibilities simultaneously:

• Grow the business

• Lead transformation engagements

• Build PRH capability assets

• Develop people and future leaders

In a mature PRH model, the most successful Senior Managers convert client problems into repeatable transformation offerings while building a self-sustaining capability and talent pipeline.

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Manager (ML7)

Basic Qualifications

• Bachelor's degree in Business, Engineering, Industrial Engineering, Supply Chain, Operations Management, Information Systems, or a related field.
• 8 to 12 years of consulting, shared services, operations, business transformation, or industry experience.
• Experience leading business transformation or process improvement initiatives.
• Experience managing cross-functional teams and stakeholder groups.
• Experience in one or more functional areas such as Finance, Procurement, Human Resources, Supply Chain, Customer Operations, Shared Services, or Global Capability Centers (GCCs).

Preferred Skills

Process Reinvention

• Business Process Management (BPM)
• Process Improvement
• Lean
• Six Sigma
• Process Mining
• Operating Model Design

Data & Analytics

• KPI Design
• Reporting Transformation
• Power BI
• Advanced Excel
• Analytics Storytelling
• Performance Management Frameworks

AI & Digital Transformation

• Copilot
• Generative AI
• Intelligent Automation
• Process Digitization
• Digital Transformation

Consulting & Leadership

• Workshop Facilitation
• Stakeholder Management
• Executive Communication
• Problem Solving
• Structured Thinking
• Team Coaching and Development

Senior Manager (ML6)

Basic Qualifications

• Bachelor's degree in Business, Engineering, Industrial Engineering, Supply Chain, Operations Management, Information Systems, or a related field.
• 10 to 15+ years of consulting, shared services, GCC, operations transformation, or large enterprise transformation experience.
• Proven experience leading large-scale transformation programs from strategy through implementation.
• Experience managing complex stakeholder environments, executive sponsors, and cross-functional organizations.
• Demonstrated experience in growth, business development, pursuit shaping, and transformation solutioning.

Preferred Skills

Process Reinvention & Operating Model Transformation

• End-to-End Process Redesign
• Shared Services Transformation
• GCC Enablement
• Operating Model Design
• Process Mining
• Value Stream Analysis
• Lean and Six Sigma Methodologies

Data, Analytics & Performance Transformation

• Enterprise Reporting Strategy
• KPI Framework Design
• Data Governance
• Data-Driven Operating Models
• Power BI
• Analytics Strategy

AI & Intelligent Operations

• Generative AI
• Agentic AI
• Copilot
• Intelligent Automation
• AI Operating Frameworks
• AI Adoption Programs

Leadership & Growth

• Executive Stakeholder Management
• Program Governance
• Large Program Leadership
• Business Case Development
• Opportunity Qualification
• Proposal Development
• Practice Building
• Talent Development
• Revenue and Pipeline Growth

Preferred Qualifications (Applicable to Both Levels)

• Master's Degree or MBA is an advantage.
• Lean Six Sigma certification is preferred.
• Experience with Process Mining tools, Power BI, Automation, AI, or Digital Transformation initiatives.
• Experience working in global consulting, shared services, GCC, or enterprise transformation environments.
• Strong communication, presentation, facilitation, and stakeholder management skills.
• Ability to translate complex business challenges into actionable transformation strategies.

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