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PHI - Lead- Data Modeler

PHI - Lead- Data Modeler

Prudential plcmumbai, India
14 hours ago
Job description

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.

Prudential (UK) in partnership with HCL group plans to set-up a standalone Indian health insurance company to address the growing healthcare needs of the Indian consumer.

This joint venture will combine Prudential's global expertise in insurance and financial services with HCL Group’s experience in technology and healthcare solutions.

Prudential, with its longstanding presence in India, already operates two leading businesses in life insurance and asset management with the ICICI Group. Prudential was also the proud sponsor of the 1983 Cricket World Cup, India’s first World Cup Victory!

Prudential Health India is a Zero to One team undertaking a no-legacy, greenfield health insurance deployment in India, building journeys that truly empathize with the customer and offer a differentiated experience.

To partner with us in this mission, we are looking for a talented to join our Experience team Name in Mumbai.

Lead / Data Modeler

Note : The title will depend on (1) Experience (2) Expertise and (3) Performance. So the title could be :

  • (Senior Manager) Lead Data Modeler
  • (Manager) Data Modeler

Deep technology role

Experience : 7 - 15 years.

Location : Mumbai and / or Bangalore

Work from office only

Job Profile Summary :

PHI intends to build a cloud-native, microservices-oriented, loosely coupled & open technology platform, which is tightly aligned to health-insurance domain, and built expecting to be reused while anticipating change .

The PHI platform will be made up of multiple applications supporting different business functions, which are well-integrated and well-orchestrated.

The applications could be COTS (Common-Off-The-Shelf) vendor software, or Prudential Group software capabilities, or software built by in-house PHI engineering team.

All applications need to adopt common services, platforms, architectural principles, and design patterns.

The right candidate will be accountable to deliver technology artefacts to business stakeholders, in the fastest time possible , with least gaps , best quality , and clarity on how the technology and business requirements can be delivered and tested at pace, with minimal gaps, and best quality.

Requirement gaps, change requests, non-integrated journeys, bugs in UAT, NFR failures – all these would signal poor quality deliverables by this candidate.

Job Description :

  • Deeply understand the long-term architectural direction, with emphasis on reusable components, and the interactions between the various applications.
  • Work closely with data engineers, software engineers, data architects, solution designers, R&D, analysts, product managers, and other teams and stakeholders to achieve desired outcomes for the company considering functionality, interoperability, performance, scalability, reliability & availability & other applicable criteria
  • Design, develop, test, and implement data models supporting mobile apps, SDKs, micro-frontends, WhatsApp, and ecosystem partners. Establish standards for platform development.
  • Data model and open APIs capabilities needs to be aligned to enable seamless integration across ecosystem partners.
  • Use data-driven insights to guide the development of programs and apps that meet user needs.
  • Follow and contribute to defining and ensuring adherence to architecture and coding standards.
  • Keep up with innovativeness to build world-class propositions using bleeding-edge technologies, frameworks, and best practices to bring differentiation through technology.
  • Establish and enforce data modeling standards and best practices to ensure consistency, quality, and integrity of data models.
  • Continuously evolve and refine data models to adapt to new business requirements, technological advancements, and data sources.
  • Create and maintain comprehensive documentation for data models, including data dictionaries, entity-relationship diagrams, and metadata.
  • Optimize data models for performance, scalability, and reliability to ensure efficient data processing and retrieval.
  • Ensure seamless integration of data models with existing data systems, databases, and data warehouses.
  • Conduct thorough testing and validation of data models to ensure accuracy and consistency of data.
  • Provide training and support to data users and stakeholders on data modeling concepts, tools, and best practices.

    • Who we are looking for :

    Technical Skills & work experience :

  • MH : Proven hands-on experience in data modeling, with a strong understanding of data modeling principles, methodologies, and tools.
  • MH : Demonstrated ability to understand technology and architectural strategy & processes & its successful translation into engineering solutions
  • MH : Deep expertise in data modeling tools such as ER / Studio, ERwin, or similar. Strong Data and SQL skills and experience with database management systems (e.g., SQL and No-SQL DBs)..
  • MH : Should have worked for large scale data engineering / transformation with successful implementation of data warehouses, lakes or lake houses leveraging cloud technologies like GCP.

    • Personal Traits :

  • First and foremost, be an exceptional engineer
  • Highest standards of Collaboration & Teamwork are critical to this role
  • Strong communication skills & ability to engagement senior management on strategic plans, leading project steering committees and status updates etc.
  • Excellent problem analysis skills. Innovative and creative in developing solutions
  • Ability and willingness to be hands-on; Strong attention to detail
  • Ability to work independently and handle multiple concurrent initiatives
  • Excellent organizational, vendor management, negotiation, and prioritization skills

    • Education

    Bachelor’s in computer science, Computer Engineering or equivalent; Suitable certifications for key skills

    Language

    Fluent written and spoken English

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