Head of Data and Analytics (Sharia)

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

Key Responsibilities:

• Participate and ingrain data and analytics frameworks through the stages of development lifecycle, from requirements gathering to deployment to production.
• Design, develop, unit test and implement tools and processes to gather data across mobile apps, websites, platforms of Prudential and eco-system partners. Come up with desired sets of standards to be followed for data engineering, data modelling etc
• Create specifications and detailed plans, write code, oversee testing and debugging, and play an active role in the rollout and launch.
• Work in close collaboration with other engineers, designers, R&D, analysts, product managers and other teams and stakeholders to achieve desired outcomes for the company.
• Work closely with stakeholders to solve enterprise problems like to build Data storage, exposing and sharing of data in line with security and compliance requirements, Cloud Native and Serverless Applications and Analytics Solutions
• Build robust batch and streaming data pipelines for production-grade data products /platforms, ensuring scalability and reliability
• Create web services or APIs to connect and integrate analytical stacks to application layers
• Manage data modelling design, writing, and optimizing streaming and/or ETL jobs
• Data mining analysis and processing ability, participate in data access, inspection, optimization and other processing processes

Qualifications:

• Have bachelor’s in engineering from a recognized institute, with a minimum 14 years of experience
• Have knowledge and experience in ecosystem/platforms-as-a-service approach.
• Have knowledge and experience in wellness and insurance domain capabilities.
• Hand-on data-engineering experience and demonstrable body of work (Min 10 years) experience in data streaming, ETL, data pipeline building, and data warehousing
• Proficient in designing efficient and robust data integration workflows using APIs and standard toolsets.
• Deep expertise in leveraging PowerBI to build and automate various insights and reports required
• Deep expertise in leveraging cloud native data capabilities like BigQuery, Snowflake, databricks etc
• Deep expertise in building enterprise grade and wide data lake, data warehouses
• Deep expertise in leveraging AI and ML to build recommendation and/or personalization engine, churning insights for businesses to increase persistency and find ways to up/cross sell to existing customers etc.
• Exposure to Database technologies such as Couchbase, Prometheus, Postgress, MongoDB etc.
• Able to implement and maintain components of big data technologies for both exploratory and production data science platforms
• Strong client and stakeholder management abilities coupled with excellent communication, written, analytical, organisational and problem-solving skills

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

Key Responsibilities:

• Participate and ingrain data and analytics frameworks through the stages of development lifecycle, from requirements gathering to deployment to production.
• Design, develop, unit test and implement tools and processes to gather data across mobile apps, websites, platforms of Prudential and eco-system partners. Come up with desired sets of standards to be followed for data engineering, data modelling etc
• Create specifications and detailed plans, write code, oversee testing and debugging, and play an active role in the rollout and launch.
• Work in close collaboration with other engineers, designers, R&D, analysts, product managers and other teams and stakeholders to achieve desired outcomes for the company.
• Work closely with stakeholders to solve enterprise problems like to build Data storage, exposing and sharing of data in line with security and compliance requirements, Cloud Native and Serverless Applications and Analytics Solutions
• Build robust batch and streaming data pipelines for production-grade data products /platforms, ensuring scalability and reliability
• Create web services or APIs to connect and integrate analytical stacks to application layers
• Manage data modelling design, writing, and optimizing streaming and/or ETL jobs
• Data mining analysis and processing ability, participate in data access, inspection, optimization and other processing processes

Qualifications:

• Have bachelor’s in engineering from a recognized institute, with a minimum 14 years of experience
• Have knowledge and experience in ecosystem/platforms-as-a-service approach.
• Have knowledge and experience in wellness and insurance domain capabilities.
• Hand-on data-engineering experience and demonstrable body of work (Min 10 years) experience in data streaming, ETL, data pipeline building, and data warehousing
• Proficient in designing efficient and robust data integration workflows using APIs and standard toolsets.
• Deep expertise in leveraging PowerBI to build and automate various insights and reports required
• Deep expertise in leveraging cloud native data capabilities like BigQuery, Snowflake, databricks etc
• Deep expertise in building enterprise grade and wide data lake, data warehouses
• Deep expertise in leveraging AI and ML to build recommendation and/or personalization engine, churning insights for businesses to increase persistency and find ways to up/cross sell to existing customers etc.
• Exposure to Database technologies such as Couchbase, Prometheus, Postgress, MongoDB etc.
• Able to implement and maintain components of big data technologies for both exploratory and production data science platforms
• Strong client and stakeholder management abilities coupled with excellent communication, written, analytical, organisational and problem-solving skills

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.