PHI - Lead- Data Modeler

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.

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

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.