AI COE Leader

Mumbai - Hiranandani

Applications have closed

Marsh McLennan

Marsh McLennan is the world’s leading professional services firm in risk, strategy and people. We bring together experts from across our four global businesses — Marsh, Guy Carpenter, Mercer and Oliver Wyman — to help make organizations more...

View all jobs at Marsh McLennan

Company:

Marsh

Description:

Marsh Advisory is seeking candidates for the following position based in Mumbai.

AI Center of Excellence Leader

What can you expect?

This position is for the leader of Marsh Advisory’s Artificial Intelligence Center of Excellence (AI COE) based in Mumbai. The AI COE will bring best in class development and deployment capabilities to the build-out of artificial intelligence, machine learning, predictive modeling, and natural language processing models in the commercial insurance and risk management space. This position consults with both technical and business colleagues throughout the organization on strategy for building and deploying AI to improve colleague productivity, operational efficiency, and client insights. You’ll be expected to drive adoption of AI-based tools within the AI COE and globally across Marsh Advisory, balance the risks presented by Generative AI and Predictive AI, help define our technical architecture and roadmap, ensure effective execution through prioritization and governance, and build an industry leading team through recruitment, training, and development.

What is in it for you?

At Marsh McLennan, you will be offered:

  • A competitive salary
  • Employee friendly policies
  • Health care and insurance for you and your dependents
  • Healthy Work life balance
  • A great working environment
  • Future career opportunities across a global organization

We will count on you to:

  • Develop and execute the strategy for the AI Center of Excellence.
  • Lead and mentor a team of data scientists, data engineers, and technology colleagues.
  • Lead the design, development, deployment, and measurement of AI/ML models that provide new, market-leading analytics for our clients to understand & address risks and unlock insights, and for our colleagues to improve operational efficiency.
  • Promote existing suite of AI/ML solutions in a coherent and compelling manner to help colleagues benefit from them, thereby avoiding duplication of efforts.
  • Create business cases that will enable project prioritization and investment decisions.
  • Ensure projects are resourced appropriately and delivered on time.
  • Stay current with the latest AI technologies and industry trends, encouraging their use in the wider team as relevant.
  • Establish and maintain guidelines for risk mitigation and governance of AI models.
  • Define and evangelize best practices for model development and coding standards; enable standardization where necessary.

What you need to have:

  • A bachelor’s degree in Math, Statistics, Actuarial Science, Computer Science, Data Science, or related field.
  • 15+ years of experience in software engineering or AI/ML engineering, with at least 5 years in a leadership role.
  • Ability to influence others within and outside of the job function.
  • Ability to develop strong internal / external client-oriented solutions.
  • Knowledge of the Indian tech ecosystem and talent landscape.
  • Experience with full stack AI/ML model development and deployment.
  • Familiarity with cloud platforms and tools such as Git/Bitbucket, Notebooks, and Amazon SageMaker.

What makes you stand out?

  • Proven experience in using innovative applications of AI to disrupt traditional insurance processes.
  • Strong relationships within the Insurtech community in India and globally.
  • Ability to communicate complex AI concepts to non-technical stakeholders, internally and to clients.
  • A history of successful collaboration with technical stakeholders (Data Scientists, Actuaries, and software engineers) and non-technical stakeholders (client executives, brokers, risk managers).
  • Demonstrated success in building high-performing teams.
  • Hands-on experience with a deep neural network architecture (CNN, RNN, Deep Reinforcement Learning, GAN etc.) and experience with deep learning frameworks such TensorFlow or Pytorch.
  • Publications or speaking engagements related to AI in insurance or risk management.

Marsh is the world’s leading insurance broker and risk adviser. With more than 45,000 colleagues advising clients in over 130 countries, Marsh serves commercial and individual clients with data-driven risk solutions and advisory services. Marsh is a business of Marsh McLennan (NYSE: MMC), the world’s leading professional services firm in the areas of risk, strategy and people. With annual revenue of $23 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading businesses: Marsh, Guy Carpenter, Mercer, and Oliver Wyman. For more information, visit marshmclennan.com, follow us 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.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  4  0  0

Tags: Architecture Bitbucket Computer Science Deep Learning Engineering Generative AI Git Machine Learning Mathematics ML models NLP Predictive modeling PyTorch Reinforcement Learning RNN SageMaker Statistics TensorFlow

Perks/benefits: Career development Competitive pay Flex hours Health care Insurance

Regions: Remote/Anywhere Asia/Pacific
Country: India

More jobs like this