Engagement Manager (Data Science)
Gurugram, Haryana, India
- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingGive technical direction to project team members on analytics projects
Facilitate client working sessions and lead recurring project status meetings
Manage day-to-day project operations and client expectations
Serve as the functional and domain expert on the project team
From the employer’s posting
Provide technical direction to project team members
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
What you’ll bring
All qualificationsCore experience
- 12+ years of core analytics experience, including data science and ML
- Bachelor's or master's in economics, math, CS/engineering, OR or related field
- Managerial experience leading analytics teams, including offshore staff
- Python, SQL, Tableau, Power BI and cloud data storage such as Snowflake
- Experience managing clients directly in dual shore engagements
Qualification wording
12+ years’ Core Analytics experience
Bachelor’s/master’s degree in economics, mathematics, computer science/engineering, operations research or related analytics areas
Managerial experience in leading analytics teams including career management of offshore staff, training, recruiting.
Complete understanding and demonstrated experience of Python, SQL, Tableau, Power BI and Could Data Storage Solutions like Snowflake/S3/ADLS Gen2
Experience in working in dual shore engagement and must have experience in managing clients directly
Education & alternatives
- Manage day-to-day project operations, serve as the functional and domain expert on the project team to ensure that they meet client expectations. - Bachelor’s/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.
- Can understand cross cultural differences and can work with clients across the globe - Bachelor’s/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
Tools in this posting
- Python
- SQL
- AWS
- Azure
- Databricks
- Docker
- GCP
- Kubernetes
- MLflow
- Power BI
- S3
- Snowflake
- Tableau
- Airflow
Source — Tool mentions in context
- 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.
- 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.
- Bachelor’s/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.
- 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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 12, 2026 · 78 days ago
- Recorded sightings
- 167
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
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Job description
- 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.
- Bachelor’s/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
- Bachelor’s/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
Source details
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- Pay
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- Location & working pattern
Gurugram, Haryana, India
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- Work authorization
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