IN_Senior Manager_AI/ML_GCC_Advisory_Pune

PwC; Pune District; On-site; INR 3,500,000 - 7,000,000; Full time

Benefits offered by this job

Mentorship programs

Flexible work arrangements

Inclusive benefits

Equal employment opportunities

Job summary

PwC India seeks a Senior Manager/Director with AI proficiency to drive data, analytics, and GenAI initiatives across the GCC segment. You will lead multi-workstream transformation programmes, shape solution architectures, and guide teams in delivery while building executive relationships and new business opportunities.

You will also develop reusable IP, mentor talent, and ensure Responsible AI governance aligned to statutory requirements.

Qualifications

• Minimum 7+ years in client-facing technology/management consulting with delivery ownership.
• Hands-on depth in building and scaling ML/GenAI solutions.
• Experience at Big4 or top tech consulting arm; Senior Manager/Director level.
• Proven origination track record with revenue influence.

Responsibilities

• Lead AI transformation programmes for marquee clients in enterprise data modernisation and GenAI deployment.
• Review solution architectures, model design, evaluation, and Responsible AI controls.
• Drive AI adoption, define use cases, and stand up AI Centre of Excellence.
• Build CXO relationships, manage end-to-end pursuits, and grow accounts.

Skills

AI leadership

Data engineering

Big4 experience

Sales origination

GenAI/LLMOps

Education

B.E./B.Tech IIT/NIT/BITS

MBA (IIM/ISB/XLRI/top global school)

M.S./Ph.D. in CS/Statistics/Data Science (strong plus)

Tools

Databricks

Snowflake

Azure Fabric/Synapse

AWS SageMaker

GCP Vertex AI

dbt

Kafka

Job description

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

*Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Job Description & Summary

We are seeking to recruit an SM/ Director with AI proficiency who can help build practice and drive sales in the GCC segment.

Responsibilities

AI & Analytics Transformation Leadership (40%)

• Lead large, complex, multi-workstream AI and data transformation programmes for marquee clients — enterprise data modernisation, GenAI/Agentic AI deployment, MLOps industrialisation, and analytics operating-model redesign.
• Act as the senior technical authority: review solution architectures, model design choices, evaluation frameworks, and Responsible AI controls — not just delegate them.
• Drive AI adoption and change management: use‑case portfolio definition, value cases, AI Centre of Excellence stand‑up, and workforce enablement.
• Establish measurable outcomes — cycle‑time reduction, cost‑to‑serve, decision quality, and ROI — and hold delivery accountable to them.

Business Development & Sales (30%)

• Own an annual sales/origination target; build and convert a qualified pipeline across new GCC accounts.
• Lead pursuits end‑to‑end: qualification, win strategy, solutioning, commercials, orals, and negotiation.
• Build CXO-level relationships (CDO, CIO, CTO, CAIO, Head of Digital) and grow accounts from project to programme to platform.

Practice & Capability Building (20%)

• Build reusable IP, accelerators, and industry AI solutions; contribute to PwC's GenAI/Agentic AI asset library.
• Scale the team: hiring, capability roadmaps, technical mentoring, and career sponsorship for Managers and Senior Managers.
• Champion Responsible AI — governance, model risk, bias/fairness testing, explainability, and alignment to the EU AI Act, India's DPDP Act, and RBI/SEBI/IRDAI expectations.

Thought Leadership & Market Presence (10%)

• Author points of view, whitepapers and industry reports; represent PwC at NASSCOM, industry forums, and client roundtables.
• Shape the market narrative on enterprise AI in India.

Mandatory skill sets

• Technology Consulting Experience: Minimum 7+ years in a client‑facing technology/management consulting role, owning delivery and commercial outcomes. Must have operated in a billable, engagement‑led model.
• Hands‑on AI Leader: Demonstrable hands‑on depth — has personally built, deployed and scaled ML/GenAI solutions (not purely advisory/PMO). Must have led at least 2–3 enterprise AI transformations from strategy through production.
• Firm Pedigree: Current or recent experience at a Big4 (Deloitte, EY, KPMG), Accenture Technology, CG or a Tier-1 GCC/Global tech consulting arm at Senior Manager / Associate Director / Director level.
• Sales Background: Proven origination track record — must be able to evidence personally sold/influenced revenue (indicatively ₹10–20Cr+ cumulative or a consistent annual target). Comfortable owning a number.
• Technical Depth Expected: Must have working, current fluency in: GenAI & Agentic AI — LLM selection & fine‑tuning, RAG architectures, agent orchestration (LangChain/LangGraph, Semantic Kernel, AutoGen), prompt & context engineering, evaluation/guardrails; Classical ML & Data Science — supervised/unsupervised learning, forecasting, NLP, computer vision, causal inference, optimisation; Modern Data Stack — Databricks, Snowflake, Azure Fabric/Synapse, AWS (SageMaker/Bedrock), GCP (Vertex AI), dbt, Kafka, lakehouse & data mesh architectures; MLOps/LLMOps — CI/CD for models, feature stores, monitoring, drift detection, model registries, cost & latency optimisation; Governance — data governance, master data, Responsible AI frameworks, model risk management.

Preferred skill sets

• Sector depth in BFSI, Consumer/Retail, Pharma/Life Sciences, or Manufacturing.
• Experience serving Global Capability Centres (GCCs) in India.
• Cloud/platform certifications — Azure AI Engineer, AWS ML Specialty, Databricks Data Engineer/ML Professional, GCP Professional ML Engineer.
• Published research, patents, or open‑source contributions in AI/ML.
• Experience with AI-enabled managed services or outcome‑based commercial models.

Years of experience required

10–15 years total post‑qualification experience, with a clear trajectory to Director.

Education qualification

• B.E./B.Tech from IIT / NIT / BITS / Tier‑1 engineering institute, and/or MBA from IIM / ISB / XLRI / FMS / MDI / top global school.
• Advanced degree (M.S./Ph.D.) in CS, Statistics, Data Science or Applied Mathematics is a strong plus.

Required Skills

• Data Engineering

Optional Skills

• Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, AI Fluency, AI-Human Collaboration, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration

Desired Languages

(If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

May 21, 2026

Are you ready to make a difference?

Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.