Senior Manager - Technology

Join Tata AIA Life Insurance, a leading and fastest-growing life insurance provider in India, established in 2001 as a joint venture between Tata Sons Pvt. Ltd. and AIA Group Ltd. Our company embodies a legacy of trust, integrity, and excellence, combining Tata's esteemed leadership with AIA's extensive pan-Asian expertise. At Tata AIA, our vision is to be the pre-eminent protection provider enabling dreams and inspiring healthier, happier lives.

We foster a culture of innovation, inclusivity, and continuous learning, offering dynamic career growth opportunities and a supportive work environment. Recognized as a Great Place to Work and recipient of the Kincentric Best Employer Award, we are committed to employee satisfaction and holistic well-being. Our core value, People - Our Core, emphasizes our dedication to inspiring our employees to be and deliver their very best. Our aim is to attract, hire and develop highly capable leaders who are just, fair, ethical, and accountable for their actions. We strive to provide our employees with the right training, technology, equipment, resources, and guidance to perform their job effectively. Our promise to you is to provide for a diverse, equitable, and inclusive work environment, where each employee is valued as an individual and treated with respect, care, and compassion.

Fuel your future with us, find your wings, and S.O.A.R. Shape opportunities, Optimize your potential, Accomplish meaningful work, and Reap holistic growth.

1. Position Overview

Position Title

Senior Manager - Technology

Department

IND AS Project (Tech Lead IFRS Azure Data Platform)

Level/ Band

501/ Senior Manager

Role Summary:

We are seeking a Tech Lead with strong expertise in Azure Databricks, Azure Cloud, , Azure Data Factory (ADF), PySprk, PySQL, Postgres, Datastage, SQL. The ideal candidate will lead technical design and architecture, manage stakeholders, and guide the team in delivering scalable data solutions.

1. Organizational Relationships

Reports To

Technology AVP for IFRS 17

Supervises

Developer Resources

Job Dimensions

Geographic Area Covered

N/A

Stakeholders Internal

IFRS 17 Leads & Management

Stakeholders External

Finance & Actuary IFRS 17 Leads

1. Key Result Areas

Leading Tech Development

Lead end-to-end design and implementation of data solutions on Azure.

Architect data pipelines using Azure Databricks, and ADF.

Architect and optimizeDatabricksnotebooks, jobs, and clusters for performance and cost efficiency using ADF.

Collaborate with business stakeholders to gather requirements and translate them into technical solutions.

Provide technical leadership and mentorship to data engineers and developers.

Ensure best practices in data governance, security, and performance optimization

Troubleshoot and resolve complex technical issues in production environments

Drive innovation by evaluating new tools, frameworks, and cloud-native services.

Manage project timelines, risks, and deliverables while ensuring alignment with business goals.

1. Skills Required

Technical

Strong hands-on experience with Azure Databricks, Azure Cloud services, PySpark, PySQL, ADF & Datastage,.

Expertise in data architecture, technical design, and solutioning, performance tuning

Proven experience in stakeholder management and cross-functional collaboration

Experience in DevOps practices, CI/CD pipelines, and cloud security

Solid understanding of ETL/ELT processes, data warehousing, and big data ecosystems.

Strong problem-solving, communication, leadership and analytical skills.

Excellent communication and leadership abilities.

Familiarity withPower BIor other BI tools

Behavioral

Essential

Desired

Interpersonal skills

Communication skills

Creative thinking skills

Supervising / Leadership skills

Teamwork Skills

Influencing skills

Relationship Building skills

Decision making skills

Language Skills

English, Local language

1. Incumbent Characteristics

Essential

Desired

Qualification

• 12-14 years of experience in data engineering/architecture roles.


• Prior experience as a Tech Lead or Solution Architect.


• Proficiency inPython, SQL, and distributed data processing

Experience

• 12-14 years of experience in data engineering/architecture roles.

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