AI Managed Services-Manager – Operate Full-time

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Managed Services

Management Level
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.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

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

• Analyse and identify the linkages and interactions between the component parts of an entire system.
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
• Develop skills outside your comfort zone, and encourage others to do the same.
• Effectively mentor others.
• Use the review of work as an opportunity to deepen the expertise of team members.
• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
• Uphold 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

Role: Manager

Tower: AI Managed Service

Experience: 10 – 15 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

Job Description

As a 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)

• AI Governance and Ethical AI Implementation

• Comprehensive knowledge of AI governance frameworks (e.g., NIST AI Risk Management Framework, ISO/IEC AI standards). (MH)

• Expertise in implementing ethical AI principles, including fairness, transparency, and accountability.(MH)

• Experience in ensuring regulatory compliance for AI solutions, such as GDPR, AI Act, and sector-specific laws (e.g., healthcare or finance regulations).

• MLOps Expertise

• Hands-on experience with MLOps tools such as Kubeflow, MLflow, DataRobot, or Amazon SageMaker Pipelines. (MH)

• Strong command over setting up CI/CD pipelines tailored for AI/ML model development and deployment.

• Proficient in integrating monitoring solutions to track model drift, data drift, and performance in real time. (MH)

• Cloud AI Services

• Deep understanding of cloud-native AI services across major platforms: (MH)one of the three

• AWS (e.g., SageMaker, Rekognition, Lambda).

• Azure (e.g., Azure Machine Learning, Cognitive Services).

• Google Cloud (e.g., Vertex AI, AutoML, TensorFlow Extended).

• Expertise in managing AI workloads across cloud environments with multi-cloud or hybrid cloud strategies..

• AI Model Performance Tuning and Optimization

• Skilled in advanced hyperparameter optimization techniques (e.g., grid search, random search, Bayesian optimization).

• Ability to analyze and optimize model inference latency to improve performance for real-time systems. (MH)

• Experience in techniques to compress and optimize AI models (e.g., quantization, pruning, knowledge distillation).

• Understanding of operational metrics (e.g., F1 score, precision, recall, ROC AUC) for continuous model evaluation.

• AI Toolchain Knowledge

• Proficiency in using AI/ML frameworks such as: (MH)

• TensorFlow, PyTorch, Keras for deep learning.

• Scikit-learn and H2O.ai for traditional ML.

• Hugging Face for NLP.

• Skilled in data visualization using Tableau, Power BI, or Python libraries like Matplotlib, Seaborn, and Plotly.

• Experience in managing data pipelines with ETL tools like Apache NiFi, Airflow, or Talend.

• ITIL and IT Service Management Frameworks (MH)

• In-depth knowledge of ITIL principles, including Incident, Problem, Change, and Release Management.

• Experience with ITSM tools such as ServiceNow, BMC Remedy, or Jira Service Management for managing AI services.

• Ability to design Service Improvement Plans (SIPs) focused on operational efficiency, SLA adherence, and cost reductions.

• Incident and Problem Management (MH)

• Ability to set up incident response playbooks for AI systems, including automated alerting and triaging.

• Expertise in performing detailed root cause analysis (RCA) for AI incidents, such as model degradation or pipeline failures.

• Business Value Alignment ( Soft Skills)

• Strong ability to connect AI solutions to measurable business outcomes (e.g., revenue growth, operational efficiency).

• Proficiency in creating and delivering executive-level presentations showcasing the value and ROI of AI initiatives.

• Expertise in stakeholder engagement, ensuring alignment of AI goals with business objectives across teams.

• Team Leadership and Mentoring ( Soft Skills)

• Proven experience leading multi-disciplinary, global teams, including data scientists, engineers, and analysts.

• Track record of mentoring junior team members in technical and leadership skills.

• Ability to foster a collaborative team environment while setting clear performance goals and KPIs.

• Skilled in hiring, onboarding, and developing AI talent aligned with organizational needs.

Managed Services- AI Services

At PwC, we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple yet powerful solutions. We imagine a day when our clients can simply focus on their business, knowing that they have a trusted partner for their IT needs. Every day, we are motivated and passionate about making our clients better.

Within our Managed Services platform, PwC delivers integrated services and solutions that are grounded in deep industry experience and powered by the talent that you would expect from the PwC brand. The PwC Managed Services platform delivers scalable solutions that add more excellent value to our client’s enterprise through technology and human-enabled experiences. Our team of highly skilled and trained global professionals, combined with the latest advancements in technology and process, allows us to provide effective and efficient outcomes. With PwC’s Managed Services, our clients can focus on accelerating their priorities, including optimizing operations and accelerating outcomes. PwC brings a consultative first approach to operations, leveraging our deep industry insights, world-class talent, and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world-class business and technology capabilities that keep pace with today’s dynamic business environment.

Within our global Managed Services platform, we provide AI Managed Services where we focus more so on the evolution of our clients’ AI portfolio. Our focus is to empower our clients to navigate and capture the value of their application portfolio while cost-effectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating dynamic, efficient and cost-effective growth.

As a member of our AI Managed Service team, we are looking for candidates who thrive working in a high-paced work environment capable of working on a mix of critical Application Evolution Service offerings and engagement, including help desk support, enhancement and optimization work, as well as strategic roadmap and advisory level work. It will also be critical to lend experience and effort in helping win and support customer engagements from not only a technical perspective, but also a relationship perspective.

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 {+ 29 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