Director, Product Development Engineering

13 - 18 years

35 - 45 Lacs

Posted:6 days ago| Platform: Naukri logo

Apply

Work Mode

Work from Office

Job Type

Full Time

Job Description

Description and Requirements



Role Value Proposition

The MetLife Finance and Risk Management (FRM) organization is evolving to enable MetLife s New Frontier strategy. With a strong vision in place, we are a global function focused on driving digital technology strategies for key corporate functions within MetLife including, Finance, Actuarial, Reinsurance, Legal, Human Resources, Employee Experience, Risk, Treasury, Audit and Compliance. In partnership with our business leaders, we develop and deliver seamless technology experiences to our employees across the entire employee lifecycle. Our vision and mission is to create innovative, transformative and contemporary technology solutions to empower our leaders and employees so they can focus on what matters most, our customers. We are technologists with strong business acumen focused on developing our talent to continually transform and innovate.

As part of Tech Talent Transformation (T3) agenda, MetLife is establishing a Technology Center in India. This technology center will perform as an integrated organization between onshore, offshore, and strategic vendor partners in an Agile delivery model.

The Director, Product Development Engineering will be part of the larger Finance and Risk Management (FRM) leadership team. As a key technical and people leader, you will lead teams that design and oversee implementation and maintenance of scalable applications, implement efficient data solutions, and drive data-driven strategies for our organization. Your expertise in Azure, Databricks, and big data technologies will be critical in optimizing data flows and empowering analytics initiatives. You will closely collaborate with multiple stakeholders and teams to deliver data-driven insights and solutions, supporting risk modeling, pricing strategies, and other key business initiatives.

Key Relationships

Internal Stake Holder FRM Leadership team, India FRM Technology AVP, Business process Owners for US Actuarial

Key Responsibilities

People Management - Managing software engineers located across multiple locations, upskilling/reskilling, hiring / retention agenda and adoption of engineering culture.

Stakeholder Management - Managing key business stakeholders to deliver the required technology capabilities to support the digital transformation agenda. Driving prioritization of the product backlog. This includes managing key vendors providing the resources, SaaS & other capabilities.

Stay up to date with emerging technologies and drive innovation.

Ways of Working Adoption of the Agile ways of working in the software delivery lifecycle.

E2E Software Lifecycle Management (Architecture, Design, Development, Testing & Production)

Driving the decisions and implementation of technology best practices, architecture and technology stack including adoption of cloud, AI/Data, and other relevant emerging technology that is fit-for-purpose.

Lead the design, development, and maintenance of scalable data architectures and pipelines in Azure Cloud environments.

Ensure the integrity, security, and quality of data through robust data governance practices.

Implement performance tuning strategies to optimize big data processing workflows.

Guide and support peer reviews of solution designs and related code, ensuring adherence to best practice guidelines and compliance with security and privacy mandates.

Ensure disaster recovery, privacy, and security are aligned to enable application/platform stability, including technology currency management.

Partner with Cyber & IT Security, Data Analytics, Infrastructure, Global Risk Management, Compliance, and Internal Audit to provide the holistic provision of technology services including risks, controls and security, to the business

Education

A Bachelors/masters degree in computer science or equivalent field.

Experience

13+ years experience leading software engineering teams

Proven experience (5+ years) in data engineering, big data processing, and distributed systems.

Proficiency in Azure services (Data Factory, Azure Synapse, Azure Data Lake, Event Hubs).

Strong hands-on experience with Databricks and Spark for big data processing.

Expertise in PySpark programming for data processing workflows.

Deep understanding of ETL/ELT processes, data modeling, and data warehousing principles.

Familiarity with cloud-native architectures and CI/CD pipelines.

Experience with data governance, security, and compliance practices.

Excellent problem-solving and communication skills.

Strong leadership and mentoring abilities.

Proficiency in software development lifecycle including CI/CD, test driven development, domain driven design and Agile ways of working.

Proven track record in partnering with the business to deliver mission critical transformation via Agile approach.

Preferred Skills:

Knowledge of additional programming languages like Python and SQL.

Familiarity with actuarial tools such as Prophet or other risk modeling systems.

Experience with DevOps tools and practices (Azure DevOps, Terraform).

Understanding of machine learning workflows and MLOps practices.

Proficiency in data visualization tools (Power BI).

Soft Skills:

Strong leadership and project management capabilities.

Excellent problem-solving, communication, and stakeholder management skills.

Ability to balance technical innovation with business value delivery.

Skills and Competencies:

Competencies

Communication: Ability to influence and help communicate the organization s direction and ensure results are achieved

Collaboration: Proven track record of building collaborative partnerships and ability to operate effectively in a global environment

People Management: Inspiring, motivating and leading diverse and distributed teams

Diverse environment: Can-do attitude and ability to work in a high paced environment

Technical Stack:

Programming:

Azure Services:

Databricks Platform:

Big Data Tools:

Data Security:

CI/CD:

Data Governance:

Cloud Infrastructure:

Certifications

Azure Data Engineer / Azure AI Engineer

Azure Architect

Data Bricks Azure platform Architect








Mock Interview

Practice Video Interview with JobPe AI

Start Python Interview
cta

Start Your Job Search Today

Browse through a variety of job opportunities tailored to your skills and preferences. Filter by location, experience, salary, and more to find your perfect fit.

Job Application AI Bot

Job Application AI Bot

Apply to 20+ Portals in one click

Download Now

Download the Mobile App

Instantly access job listings, apply easily, and track applications.

coding practice

Enhance Your Python Skills

Practice Python coding challenges to boost your skills

Start Practicing Python Now
Metlife logo
Metlife

Insurance and Financial Services

New York

RecommendedJobs for You