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Executive Leadership for CMOs in the Age of AI

Executive Leadership for CMOs in the Age of AI

Application closes 29th Jun 2026

What's new in this CMO programme?

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    Dedicated modules on AI and agentic AI for marketing

    Build capabilities in AI, agentic AI for marketing, and marketing analytics through no-code modules designed for business leaders.

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    Two campus immersions at IIT Bombay

    Begin and conclude the programme on the IIT Bombay campus with faculty sessions, peer networking, applied learning, and a capstone project

Programme outcomes

Lead marketing in the age of AI

Build future-ready marketing leadership capabilities

  • Formulate growth strategies grounded in business model analysis, competitive dynamics, and ROI thinking.

  • Design customer strategies that move beyond acquisition to lifetime value using behavioural insights.

  • Define AI strategies for marketing and govern AI deployment across human-AI workflows.

  • Lead the transition from traditional marketing automation to agentic AI for marketing systems.

  • Architect omnichannel digital strategies across search, social, video, and commerce.

  • Build brand equity and product positioning in markets shaped by AI-driven recommendation systems.

Earn a Certificate of Completion from IIT Bombay

  • #28

    #28

    QS Rankings in Engineering & Technology, 2025

  • #3

    #3

    NIRF India Rankings 2024

  • #1

    #1

    NIRF India Innovation Rankings, 2024

  • #3

    #3

    NIRF India Engineering Rankings, 2024

  • #30

    #30

    QS Rankings in Data Science and AI, 2024

  • #63

    #63

    QS Rankings in Electrical & Electronics, 2024

  • #2 in India

    #2 in India

    QS World University Rankings, 2026

Programme Highlights

Why choose this CMO programme

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    Designed and delivered by IIT Bombay Faculty

    Industry-relevant curriculum designed and delivered by IIT Bombay, Global Faculty, and Industry Leaders through live sessions and masterclasses.

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    Two campus immersions at IIT Bombay

    Start and close the programme on campus with in-person faculty interaction, cohort building, hands-on learning, and capstone presentations.

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    Real-world case studies

    Engage with case studies spanning marketing strategy, customer experience and digital transformation from leading organizations.

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    AI, Agentic AI, and Marketing Analytics-Focused Curriculum

    Build capabilities in AI, agentic AI for marketing, and marketing analytics through no-code modules designed for business leaders.

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    Hybrid delivery for senior leaders

    An 8-month hybrid pathway with live sessions, masterclasses and two campus immersions, designed for senior marketing professionals and executives.

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    Peer learning and networking opportunities

    Learn with a cohort of senior professionals through structured and informal networking during immersions and interactive online sessions.

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    Dedicated programme support

    Receive personalised support from a dedicated Programme Manager throughout the learning journey.

Skills you will learn

Marketing Strategy

AI Strategy for Marketing

Agentic AI for Marketing

Marketing Analytics

Customer Value Chain Analysis

Brand and Product Strategy

Revenue and Pricing Strategy

Go-To-Market Strategy

Digital Marketing Communications

MarTech Leadership

Marketing Strategy

AI Strategy for Marketing

Agentic AI for Marketing

Marketing Analytics

Customer Value Chain Analysis

Brand and Product Strategy

Revenue and Pricing Strategy

Go-To-Market Strategy

Digital Marketing Communications

MarTech Leadership

view more

  • Overview
  • Learning Path
  • Curriculum
  • Projects
  • Faculty
  • Fees

Who is this programme for?

Designed for senior professionals leading or preparing to lead the marketing, growth, and revenue agenda.

  • Marketing and Sales Leaders and Aspiring CMOs

    Transitioning from functional marketing or sales to enterprise-wide leadership demanding AI and data fluency.

  • Senior Marketing Professionals

    Future-proofing leadership with a strong understanding of marketing, AI, agents, and marketing analytics.

  • Business Heads, Entrepreneurs, and Founders

    Leaders driving revenue and growth who want to understand modern marketing, pricing, omnichannel execution, and AI-powered systems.

  • Functional Leaders

    Leaders from sales and product strategy taking on broader commercial responsibilities and building marketing and AI literacy.

Experience a unique learning journey

  • Learn through live online sessions

    Engage with IIT Bombay faculty, global faculty, and industry leaders through live online sessions.

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  • Two campus immersions at IIT Bombay

    Participate in 2 campus immersions with access to IIT Bombay's technology infrastructure.

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  • Apply learning through a Capstone Project

    Apply programme learning through an industry-relevant Capstone Project on real-world marketing challenges.

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  • Get personalised assistance

    Receive personalised support from a dedicated Programme Manager throughout the learning journey.

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Comprehensive curriculum

Designed and delivered by IIT Bombay, the curriculum progresses from market strategy and customer understanding to brand, revenue, and go-to-market execution, and culminates in an applied focus on AI, agentic AI for marketing systems, and marketing analytics.

Module 1: Business Models, Competitive Landscape, and Growth Strategy

Every marketing strategy is downstream of a business model choice. This module establishes the foundation on which subsequent modules build.

Topics:

• Product, subscription, platform, and ecosystem-based business models • Growth strategy: core growth, adjacency expansion, and new growth bets • The evolution of marketing from performance marketing to Marketing 6.0 • Hyper-personalisation • CMO strategies for balancing technology, data, and AI

Module 2: Customer Value Chain Analysis and Experience Management

A CMO must be able to quantify which customers matter most, how they behave across channels, and where value is created or lost. This module builds the analytical and behavioural foundations for customer-facing decisions.

Topics:

• Buyer personas and consumer behaviour across omnichannel journeys • Decoding the customer experience • Customer value chain analysis and customer lifetime value modelling • New approaches to market segmentation • Customer engagement, brand communities, and next-generation immersive experiences

Module 3: Product and Brand Strategy in Digital and AI-Mediated Markets

This module focuses on the two key assets for a CMO: product and brand. It addresses brand equity and product positioning in a market shaped by algorithms, marketplaces, and AI-driven recommendations.

Topics:

• Product management and product-market fit in digital markets • Building and measuring brand equity through new tools and brand valuation models • Promotion strategy across traditional and digital channels • Influencer marketing strategy

Module 4: Revenue, Pricing, and Go-To-Market Strategy

This module connects strategy to commercial outcomes by focusing on pricing, distribution, and go-to-market effectiveness.

Topics:

• Value-based pricing models and linking brand investment to margins using conjoint analysis • Evolving pricing architectures including BNPL, freemium, monetisation layers, and AI-driven dynamic pricing • Omnichannel go-to-market strategy and channel design • Measuring GTM effectiveness and revenue ROI

Module 5: Researching Customers: Evidence Over Intuition

This module equips learners with research methods that generate evidence, enabling them to design experiments, interpret behavioural data, and commission research that informs strategic decisions.

Topics:

• Experimental design and A/B testing at scale • Neuromarketing research to understand subconscious consumer responses • Digital and real-time research including social listening, customer journey analytics, and behavioural data

Module 6: AI Foundations and the agentic AI Paradigm for Marketing

This module builds a working understanding of AI and Generative AI, followed by the introduction of agentic AI for marketing, where systems move from assisting humans to acting autonomously within defined parameters.

Topics:

• AI foundations and Prompt Engineering for marketing leaders • The evolution from traditional marketing automation to agentic AI for marketing • The agentic AI for marketing paradigm and its implications for strategy, operations, and organisational design

Module 7: Digital Marketing Communications: The Core and the agentic Evolution

This module applies the agentic framework across digital marketing channels, covering established practices and emerging agentic systems transforming each channel.

Topics:

• The shift from SEO to AI-mediated search (SGE, GEO, and the agentic web) • Automated brand identity with Google Pomelli • High-velocity content marketing • Paid media, attribution, and data-driven performance • Social engagement and community building • Email marketing and lifecycle management • The hybrid MarTech stack • agentic AI for sales, channels, and distribution

Module 8: Marketing Analytics and Agents

This module focuses on the intelligence layer underlying marketing execution, covering data, models, and analytical systems that inform decision-making. It progresses from foundational analytics to AI agent-driven operations.

Topics:

• Descriptive, predictive, and prescriptive analytics as a decision-making framework • Multi-channel data ingestion agents • Customer journey and attribution agents • Audience intelligence and segmentation agents • Campaign anomaly detection • Predictive analytics and revenue forecasting • Budget optimisation and media mix agents • Content and creative performance agents • Competitive intelligence agents • Marketing Command Centre and agent orchestration • Governance and ethics

Work on 5+ case studies and capstone project

Engage with case studies and an industry-relevant Capstone Project.

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Retail and Agentic AI

Walmart's Sparky: Agentic AI and the Future of Shopping

Description

This case explores three strategic dilemmas Walmart dealt with while building its Agentic AI shopping assistant: customer experience versus ad monetisation, personalisation versus privacy, and building proprietary AI versus partnering for speed.

Skills you will learn

  • Agentic AI
  • Customer Experience
  • AI Partnerships
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FMCG and AI Transformation

Unilever: Building for the Age of AI

Description

This case explores how Unilever rethought strategy, organisational design, talent, agency relationships, and performance metrics with a social-first, AI-enabled approach.

Skills you will learn

  • Performance Metrics
  • Organisational design
  • AI-led marketing transformation
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E-commerce and Customer Experience

Nykaa: Time to Redefine Customer Experience

Description

This case explores how India's leading beauty e-commerce platform, built on strong curation and brand partnerships, confronts a widening gap between customer expectations and delivery in an increasingly competitive digital landscape.

Skills you will learn

  • Brand partnerships
  • Digital strategy
  • Customer experience design
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Digital Advertising and AI

Meta: Digital Marketing and AI at Facebook and Instagram

Description

This case deals with Meta's announcement that it aspires to take over the entire digital advertising process for its advertisers, with targeting, creative, placement, and budget allocation all optimised autonomously by AI.

Skills you will learn

  • Media buying
  • Performance marketing
  • AI-driven advertising
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Automotive and Digital Transformation

Tesla: Digital Transformation of the Automotive Business

Description

This case explores how digital technology reshaped vehicle design, manufacturing, sales, pricing, and customer engagement, and assesses whether software will ultimately become more valuable than hardware.

Skills you will learn

  • Pricing strategy
  • Digital transformation
  • Business model innovation
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Banking and Customer Lifecycle

HSBC: Data Analytics and AI for Customer Lifecycle

Description

HSBC Hong Kong faces a strategic threat: millennial customers are shifting to digital-only banks. This case evaluates how the bank's data analytics and AI infrastructure can be deployed to retain this critical demographic.

Skills you will learn

  • Retention strategy
  • Data analytics
  • Customer lifecycle management
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Capstone Project

Capstone: Agentic AI for Marketing Stack Blueprint

Description

Apply programme learning to design an Agentic AI for marketing stack and a transformation blueprint for your organisation.

Skills you will learn

  • Transformation planning
  • MarTech architecture
  • Agentic AI for marketing
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Capstone Project

Strategic Leadership and Change Management

Description

Develop a strategic leadership and change management plan for AI-led marketing transformation in your organisation.

Skills you will learn

  • AI transformation
  • Strategic leadership
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Capstone Project

The CMO's 100-Day AI Roadmap

Description

Build a 100-day roadmap as a CMO to integrate AI and Agentic AI for marketing into your organisation's marketing function.

Skills you will learn

  • Marketing transformation
  • CMO strategy
  • AI roadmap

Learn from renowned faculty

Engage with IIT Bombay faculty, global faculty, and industry leaders.

  • Prof. Mayank Pareek  - Faculty Director

    Prof. Mayank Pareek

    Professor of Practice, SJMSOM, IIT Bombay

    35+ years of leadership experience in the Indian automotive industry

    Former President, Tata Motors PV; Executive Director, Maruti Suzuki

    Know More
  • Prof. Dinesh Sharma  - Faculty Director

    Prof. Dinesh Sharma

    Professor of Marketing, SJMSOM, IIT Bombay

    28+ years of experience in marketing practice, research, and teaching

    Expertise in digital marketing, branding and marketing strategy

    Know More
  • Prof. Arti Kalro  - Faculty Director

    Prof. Arti Kalro

    Professor of Marketing, SJMSOM, IIT Bombay

    Specialises in consumer neuroscience and marketing communications

    Established SJMSOM's Behavioural Lab for eye-tracking research

    Know More
  • Prof. Srinwanti H. Chaudhury  - Faculty Director

    Prof. Srinwanti H. Chaudhury

    Assistant Professor of Marketing, SJMSOM, IIT Bombay

    Specialises in consumer psychology and digital marketing strategy

    Research on how AI and personalisation impact consumer judgment.

    Know More
  • Prof. Denish Shah  - Faculty Director

    Prof. Denish Shah

    Professor of Marketing, Robinson College of Business

    Research links marketing strategies to firm financial performance

    Published in Harvard Business Review and Journal of Marketing

    Know More
  • Mr. Nilesh Satpute  - Faculty Director

    Mr. Nilesh Satpute

    Founder and CEO, Applied Cloud Computing (ACC) and Visiting Faculty, SJMSOM

    Experienced tech pro with expertise in cloud, AI, and Big Data.

    Founder of ACC, a 500+ employee firm serving top Indian banks.

    Know More
  • Mr. Mandar Marathe  - Faculty Director

    Mr. Mandar Marathe

    AI-First Marketing Strategist and Visiting Faculty, SJMSOM

    18+ years of experience across B2B, SaaS, and D2C brands

    Focused on integrating Gen AI and agentic workflows into marketing

    Know More
  • Mr. Satvik Paramkusham  - Faculty Director

    Mr. Satvik Paramkusham

    Founder, Build Fast with AI

    IIT Delhi Engineer with deep expertise in applied Generative AI.

    Has trained 50,000+ professionals in applied Generative AI.

    Know More

Course Fees

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    Build CMO-ready judgement across strategy, AI, and analytics

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    Learn through synchronous online sessions and campus immersions

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    Apply frameworks via case-based learning and an applied capstone

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    Receive personalised assistance from a Programme Manager

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Application closes: 29th Jun 2026

Application closes: 29th Jun 2026

The course fee is INR 3,75,000 + 18% GST

Registration Process

Registrations close once the required number of participants enroll. Apply early to secure your spot.

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    Application

    Interested candidates can apply by filling out a simple online application form.

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    Interview Process

    Go through a mandatory screening call with the registration office

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    Offer of Registration

    Selected candidates will get an offer letter and must pay the fee to confirm registration

Eligibility Criteria

  • Bachelor's or Master's degree (or higher qualification) in business administration/marketing from a recognised university.
  • Minimum of 8 years of relevant professional work experience.

Got more questions? Talk to us

Connect with our advisors and get your queries resolved

Speak with our expert +918046802029 or email to iitb-cmo@greatlearning.in

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