Associate Director - Digital Transformation Strategy

Job Description For Posting

We are seeking a talented individual to join our Pacific team at Marsh. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office.

As the Digital Experience Analyst AI - Pacific, you will act as the AI Business Product Owner and assist in defining, prioritizing, and delivering AI-based digital products that align with our strategic goals. This role requires a deep understanding of AI technologies, product management principles, delivery and adoption techniques and the insurance industry. The ideal candidate will work closely with cross-functional teams, including business, technology and data teams to create and embed AI solutions that enhance our service offerings. Its key responsibilities will include :

• Product Vision and Strategy : Leverage our global strategy to assist in develop and communicate a clear Pacific product vision and strategy for AI-driven digital products that aligns with the business goals.
• Stakeholder Engagement : Collaborate with internal stakeholders, including senior management, to understand business needs, promote the use of AI to solve business complexity and ensure alignment with global and regional objectives.
• AI Enablement : Investigate processes and outcomes to define Use Cases where an AI digital solution will improve clients, carriers and colleague ways of working
• Backlog Management : Create, prioritize, and manage the AI demand backlog, ensuring that user stories and requirements are well-defined and actionable.
• AI Delivery : Work with our technology partners in sprint planning, scrums, reviews, retrospectives, etc to ensure the success implementation of AI use Cases
• Cross-Functional Collaboration : Work closely with business, technology and data leader and teams to ensure successful product development and delivery.
• Market Research : Conduct market research and competitive analysis to identify trends, opportunities, and potential challenges in the AI and insurance sectors.
• Performance Metrics : Define and track key performance indicators (KPIs) to measure AI product success, improve adoption and drive continuous improvement.
• User Experience : Act as the Pacific AI Advocate for the end-user by ensuring that products are user-friendly, accessible, and meet customer needs.
• Capability and Adoption : Provide training, coaching, and support to internal teams and clients on AI digital products and features in order to improve their AI utilisation

We will count on you to :

What you need to have :

What makes you stand out :

Why join our team :

Marsh, a business of Marsh McLennan (NYSE : MMC), is the world's top insurance broker and risk advisor. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses : Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow on LinkedIn and X.

Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex / gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one 'anchor day' per week on which their full team will be together in person.

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Skills Required

Agile Methodologies, Scrum, Kanban