Manager of Engineering, Data & Analytics

The Standard India; Bengaluru; Hybrid; INR 5,000,000 - 6,500,000; Full time

Benefits offered by this job

Annual incentive bonus

Paid time off

Learning & leadership programs

Career advancement opportunities

Equal opportunity employer

Job summary

The Standard India is seeking a Manager of Engineering (Data & Analytics) in Bengaluru to lead enterprise data and analytics capabilities across Azure, Databricks, pipelines, and BI solutions. You will drive data governance, quality, and scalable data products while partnering with Architecture, Product and Analytics teams to align with enterprise strategy.

You will guide roadmaps, CI/CD, DataOps, and modernization efforts, mentoring senior engineers and building a strong data engineering

Qualifications

• B.Tech / B.E. in Computer Science, IT, Software Engineering, or related discipline (Data & Analytics specialization preferred).
• 12+ years of technology experience with at least 5 years leading engineering teams.
• Strong experience with Azure cloud services and Databricks.
• Experience delivering enterprise‑scale data pipelines, data products, datasets, and BI solutions.

Responsibilities

• Lead engineering teams for enterprise data and analytics capabilities (Azure, Databricks, pipelines, data products, BI).
• Oversee delivery, reliability, performance, security, data quality, and maintainability of data solutions.
• Develop multi‑year data and analytics roadmaps aligned with strategy and priorities.
• Drive DataOps, CI/CD, observability, automation, testing, monitoring, and production support.
• Partner with Architecture and Product teams to set data standards and reusable data products.
• Ensure governance across data solutions including security, metadata, lineage and privacy controls.
• Lead modernization initiatives to improve scalability, reuse, and AI readiness of data assets.

Skills

Azure

Databricks

Data pipelines

Data governance

Power BI

CI/CD

DataOps

Observability

DevOps

Data Modeling

Education

B.Tech / B.E. in Computer Science or IT

Tools

Azure Databricks

Kafka

Fivetran

Unity Catalog

Collibra

Job description

The next part of your journey is right around the corner — with Standard India

A genuine desire to make a difference in the lives of others is the foundation for everything we do. With a customer-first mindset and an intentional focus on building strong teams across the nation, we’ve been able to uphold our legacy of financial stability while investing in new, innovative technologies that support the needs of our customers. Our high-performance culture, focused on operational excellence, thrives thanks to remarkable people united by compassion and a customer-first commitment. Are you ready to make a difference?

Job Summary

The Manager of Engineering (Data & Analytics) is responsible for leading the engineering teams that build, operate, and develop The Standard's enterprise data and analytics capabilities. This role focuses on data engineering, analytics engineering, data integration, data governance, business intelligence, and engineering excellence that support data, analytics, and AI initiatives across the enterprise.

In this role, you will lead teams responsible for enterprise data and analytics solutions, including Azure, Databricks, data pipelines, data products, streaming solutions, data governance capabilities, analytical datasets, semantic models, and business intelligence solutions. You will partner closely with Architecture, Product, Analytics, Governance, and Engineering teams to ensure data solutions remain scalable, reliable, governed, and aligned with enterprise technology strategy.

You will be accountable for engineering roadmaps, delivery, data quality, governance standards, technical excellence, and the continued modernization of enterprise data and analytics capabilities. Success in this role will be measured by delivery outcomes, data reliability, engineering productivity, development of engineering talent, and the ability to build sustainable data and analytics expertise across the organization.

Key Responsibilities

• Lead engineering teams responsible for enterprise data and analytics capabilities, including Azure, Databricks, data pipelines, data products, streaming solutions, governance, semantic models, and business intelligence.
• Oversee delivery and operational excellence of enterprise data solutions, ensuring reliability, scalability, performance, security, data quality, and maintainability.
• Develop and execute multi-year data and analytics engineering roadmaps aligned with enterprise technology strategy and business priorities.
• Drive adoption of data engineering best practices, including CI/CD, DataOps, observability, automation, testing, monitoring, and production support models.
• Partner with Enterprise Architecture and Product teams to establish data standards, integration patterns, reusable data products, and engineering capabilities.
• Ensure effective governance across data solutions, including security, privacy, access management, data quality, metadata, lineage, and compliance controls.
• Lead modernization initiatives that improve data scalability, increase reuse, reduce technical debt, enhance analytics capabilities, and support AI‑ready data solutions.
• Establish engineering practices for batch and streaming data integration, analytics delivery, data quality monitoring, and continuous improvement.
• Foster a culture of engineering excellence, accountability, collaboration, innovation, knowledge sharing, and continuous learning.
• Hire, mentor, coach, and develop engineering talent while building deep technical expertise, leadership capability, and succession strength within the organization.
• Drive adoption of reusable data products, governed datasets, engineering standards, and self-service analytics capabilities across the enterprise.
• Manage engineering priorities, capacity, delivery commitments, and technical investments to ensure sustainable development of data and analytics capabilities.

Required

Ability to work on-site in Bengaluru, India is required.

Mode of Working

This role follows a hybrid work model with a primary base in Bengaluru. On-site presence is essential for key engagements, with flexibility for remote work based on business needs and team alignment.

Skills And Background You’ll Need

Education: B.Tech / B.E. in Computer Science, IT, Software Engineering, or related discipline (Data & Analytics specialization preferred).

Experience

• 12+ years of technology experience with at least 5 years leading engineering teams.
• Experience leading data engineering, analytics engineering, business intelligence, or enterprise data teams.
• Strong experience with Azure cloud services and Databricks.
• Experience delivering enterprise‑scale data pipelines, data products, analytical datasets, and business intelligence solutions.
• Strong understanding of data engineering, data modeling, data quality, observability, automation, and DevOps/DataOps practices.
• Experience with streaming platforms, data integration technologies, analytics platforms, and enterprise data architectures.
• Experience implementing governance, security, privacy, metadata, lineage, and data quality controls for enterprise data.
• Experience hiring, mentoring, and developing engineers while building technical expertise within globally distributed teams.

Technology Focus

• Azure
• Azure Databricks
• Kafka / Event Streaming
• Fivetran
• Power BI
• Unity Catalog
• Collibra
• Data Engineering & Data Modeling
• Data Ingestion & Integration
• Data Quality & Observability
• DevOps / DataOps & CI/CD
• Data Governance & Security

Key Behaviors Of a Successful Candidate

• Strategic Visioning: Uses market data and knowledge of business models to develop new strategies, connect goals to enterprise vision, and identify criteria to measure success.
• Engaging Hearts & Minds: Fosters empowered, collaborative teams and cultivate trusted relationships across functions.
• Driving Success: Ability to drive team performance to goals. Hires, mentors, coaches, and develop team members while building deep technical expertise and future leaders. Creates clarity, sets bold goals, and champions execution with a sense of purpose and urgency.

Why Join Standard India?

• A rich benefits package that supports your health, well‑being, and financial goals
• An annual incentive bonus plan tied to both individual and organizational performance
• Paid time off including earned leave, sick/casual leave, and public holidays, in accordance with the company’s leave policy
• A supportive, responsive management approach that empowers you to grow
• Opportunities for career advancement through learning, coaching, and leadership enablement
• A culture where your voice matters—your ideas shape our future, and we win as one
• Purpose‑driven work that makes a difference for our customers, communities, and each other

In addition to a competitive salary, our employee‑focused benefits are designed to support work‑life balance, personal growth, and long‑term impact.

Eligibility to participate in an incentive program is subject to the rules governing the program and plan. Any award depends on a variety of factors including individual and organizational performance.

StanCorp Global Services India Private Limited is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity, sexual orientation, age, disability, caste, HIV status or any other characteristic protected by applicable laws of India.