Role & responsibilities

- Expected to work in close collaboration with the Client team and EXL team on establishing relationship with stakeholders, identify current opportunities, areas of growth

- Develop long-lasting, trusted advisor relationships with clients

- Provide Project, Client & Team Management and Monitor progress of deliverables on daily basis and ensure timely resolution of any issues

- Ensure Industry best practices are followed, Communicate and follow up with delivery team

- Brainstorming on pain areas/Identifying reasons for issues/Issue Resolution, diagnosis of inefficiencies in the current process and figuring out ways to resolve it

- Provide technical direction to project team members across data modeling, data manipulation, visualization, predictive modeling, Reporting and Automation projects across Insurance Value Chain

- Facilitate client working sessions and lead recurring project status meetings

- Manage day-to-day project operations, serve as the functional and domain expert on the project team to ensure that they meet client expectations.

Candidate Profile:

- Bachelors/master’s degree in economics, mathematics, computer science/engineering, operations research or related analytics areas; candidates with BA/BS degrees in the same fields from the top tier academic institutions are also welcome to apply

- 12+ years’ Core Analytics experience (Data Science, Gen-AI, Large Language Models, including prompt engineering, embeddings,



Retrieval-Augmented Generation, vector databases, and model evaluation, ML-AI Model Development, Data Engineering, Databricks) with prior Consulting/Implementation Experience preferably with Life Insurance Clients.

- Working knowledge of MLOps and model lifecycle practices, including model deployment support, monitoring, drift detection, retraining, and tools such as MLflow, Airflow, Docker, Kubernetes, or cloud-native ML platforms.

- Experience on any cloud (AWS / Azure/ GCP), is an added advantage.

- Experience working with Microsoft Fabric is a plus.

- Experience in working in dual shore engagement and must have experience in managing clients directly

- Complete understanding and demonstrated experience of Python, SQL, Tableau, Power BI and Could Data Storage Solutions like Snowflake/S3/ADLS Gen2 and various modeling techniques

- Managerial experience in leading analytics teams including career management of offshore staff, training, recruiting.

- Demonstrated leadership ability and willingness to take initiative

- Strong record of achievement, solid analytical ability, and an entrepreneurial hands-on approach to work

- Outstanding written and verbal communication skills

- Able to work in fast pace continuously evolving environment and ready to take up uphill challenges

- Can understand cross cultural differences and can work with clients across the globe

Preferred candidate profile

📌 Assistant Vice President Analytics (Delhi)
🏢 Huquo Consulting
📍 Delhi