AI Managed Services-Senior Manager-Operate Full-time

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Managed Services

Management Level
Senior Manager

Job Description & Summary
At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients.

Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services.

Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Craft and convey clear, impactful and engaging messages that tell a holistic story.
• Apply systems thinking to identify underlying problems and/or opportunities.
• Validate outcomes with clients, share alternative perspectives, and act on client feedback.
• Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
• Deepen and evolve your expertise with a focus on staying relevant.
• Initiate open and honest coaching conversations at all levels.
• Make difficult decisions and take action to resolve issues hindering team effectiveness.
• Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm’s code of conduct, and independence requirements.

Job Summary –

A career in our Managed Services team will provide you with an opportunity to collaborate with a wide array of teams to help our clients implement and operate new capabilities, achieve operational efficiencies, and harness the power of technology. Our Analytics and Insights Managed Services team brings a unique combination of industry expertise, technology, data management and managed services experience to create sustained outcomes for our clients and improve business performance. We empower companies to transform their approach to analytics and insights while building your skills in exciting new directions. Have a voice at our table to help design, build and operate the next generation of software and services that manage interactions across all aspects of the value chain.

Minimum Degree Required (BQ) *:

Bachelor’s Degree

Degree Preferred:

Bachelor’s degree

Required Field(s) of Study (BQ):

Preferred Field(s) of Study:

Computer and Information Science, Management Information Systems

Minimum Year(s) of Experience (BQ) *: US

Minimum of 5 years of experience

Certification(s) Preferred:

PMP, Agile Certification, CTAL-TA, CT-TAE

Preferred Knowledge/Skills *:

• Role: Senior Manager

• Tower: AI Managed Services

• Experience: 15 – 18 years

• Key Skills: Managed Services – AI Services

• Educational Qualification: Bachelor’s/master’s degree in computer science/IT or relevant field in reputed institutions

• Work Location: Bengaluru, India

• As a Senior Manager, you’ll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution by using AI Skills. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Skills: ( MH – Must Have and GH – Good to Have)

• Strategic Leadership in AI Managed Services (MH)

• Define and execute the vision and long-term strategy for AI Managed Services, ensuring alignment with corporate goals and client demands.

• Identify and prioritize growth opportunities in AI portfolios, introducing services that deliver measurable client impact and market differentiation.

• Lead strategic planning sessions, defining milestones, success metrics, and pathways for scaling AI service offerings globally.

• Develop and lead AI roadmap discussions with clients, bridging business objectives with AI capabilities to create tangible value.

• AI Service Delivery Management (MH)

• Oversee the complete lifecycle of AI services, from strategic design and development to deployment and optimization.

• Ensure AI service delivery exceeds client SLAs and benchmarks by implementing advanced quality control and monitoring processes.

• Lead service delivery reviews, focusing on identifying efficiency gains and opportunities for cost reduction.

• AI Operations and Governance Frameworks

• Oversee the creation and implementation of AI governance models to address ethical considerations, security, and compliance. (MH)

• Ensure operational excellence in managing AI deployments at scale across multi-cloud environments, focusing on reliability, security, and scalability.

• Build frameworks to track AI system performance, costs, and risks, driving continuous improvement through actionable metrics.

• Enterprise Data and Analytics Strategy

• Design enterprise-wide data strategies, ensuring seamless data integration, preparation, and readiness for AI applications. (MH)

• Establish policies and tools for robust data governance, improving data accessibility and compliance with regulatory requirements.

• Drive initiatives to extract business insights from analytics platforms, linking data outcomes to corporate decision-making processes.

• Risk Management and Compliance Oversight

• Lead the development of risk management plans for AI operations, identifying vulnerabilities in areas like data security, bias, and model integrity. (MH)

• Ensure compliance with global regulations (e.g., GDPR, AI Act) and internal ethical AI guidelines across all AI initiatives.

• Develop risk assessment frameworks to evaluate AI project feasibility and mitigate potential operational disruptions.

• Agile and DevOps Transformation for AI Services ( Soft Skills)

• Lead the integration of Agile methodologies and DevOps practices into AI project delivery, enhancing flexibility and responsiveness.

• Oversee adoption of continuous integration/continuous delivery (CI/CD) pipelines, automating AI deployment workflows.

• Champion organizational change to foster a culture of experimentation, rapid iteration, and continuous learning.

• Team Leadership and Development ( Soft Skills)

• Build and manage cross-functional, high-performing teams, fostering an environment of innovation, accountability, and growth.

• Lead initiatives to identify skill gaps, implement training programs, and upskill team members in advanced AI methodologies and tools.

• Establish leadership pipelines through mentorship and succession planning, ensuring team readiness for future challenges.

• Stakeholder and Executive Communication ( Soft Skills)

• Establish strong relationships with internal and external stakeholders, serving as the primary point of contact for escalations and strategic discussions.

• Communicate AI initiatives’ business impact to senior leadership through detailed reports, dashboards, and executive presentations.

• Align diverse stakeholder groups around shared objectives, creating transparency and buy-in for large-scale AI programs.

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Automation, Automation Framework Design and Development, Automation Solutions, Budgetary Management, Business Process Automation (BPA), Business Process Improvement, Business Process Outsourcing, Business Transformation, Coaching and Feedback, Communication, Continuous Process Improvement, Creativity, Data Quality Automation, Deliverable Planning, Delivery Excellence, Design Automation, Digital Transformation, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 32 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements
0%

Available for Work Visa Sponsorship?
No

Government Clearance Required?
No

Job Posting End Date