Assistant Vice President Analytics

Huquo Consulting; Delhi; Hybrid; INR 4,200,000 - 7,000,000; Full time

Job summary

Huquo Consulting seeks an experienced analytics leader to partner with clients and internal teams across data modeling, visualization, and ML-driven solutions. You will drive projects from discovery through delivery, mentor offshore teams, and ensure high-quality outcomes for insurance domain clients.

The role requires strong communication, leadership, and an entrepreneurial hands-on approach in a fast-paced, globally distributed environment.

Qualifications

• 12+ years of Core Analytics experience including Data Science, Gen-AI, LLMs, embeddings, Retrieval-Augmented Generation, vector databases and model evaluation
• Experience in Consulting/Implementation preferably with Life Insurance clients
• Working knowledge of MLOps and model lifecycle practices including deployment support, monitoring, drift detection, retraining, and tools such as MLflow, Airflow, Docker, Kubernetes or cloud-native ML platforms
• Experience with any cloud (AWS/Azure/GCP) is an added advantage
• Experience in dual-shore engagements and directly managing clients
• Strong Python, SQL, Tableau, Power BI and Cloud Storage solutions like Snowflake/S3/ADLS Gen2 and modeling techniques
• Managerial experience leading analytics teams including offshore staff management and recruitment

Responsibilities

• Collaborate with Client and EXL teams to build relationships with stakeholders and identify growth opportunities
• Develop trusted advisor relationships and manage project, client, and team deliverables
• Monitor progress daily and ensure timely issue resolution
• Ensure best practices and communicate with delivery teams
• Diagnose issues and drive process improvements
• Provide technical direction across data modeling, data manipulation, visualization, predictive modeling, reporting and automation
• Facilitate client sessions and lead project status meetings
• Oversee day-to-day operations and serve as domain expert to meet client expectations

Skills

Client management

Analytics leadership

Data science

Python

SQL

Tableau/Power BI

ML model development

Cross-cultural communication

Entrepreneurial mindset

Team mentorship

Education

Bachelor’s/Master’s in economics, mathematics, CS/engineering, OR related analytics areas

Tools

MLflow

Airflow

Docker

Kubernetes

Cloud platforms (AWS/Azure/GCP)

Microsoft Fabric

Databricks

Snowflake/S3/ADLS Gen2

Job description

Role & responsibilities

• Expected to work in close collaboration with the Client team and EXL team on establishing relationship with stakeholders, identify new 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