Manager Data Integration

Amazing Career Moments Happen Here

Transforming the insurance industry is ambitious we know. Thats why at Applied Systems India Pvt Ltd. an Applied Systems company were building a team that shows up every day ready to learn willing to try new things and driven to deliver innovative software and services that make us indispensable to our customers all within a culture built on values that make us indispensable to each other too. With 40 years of experience in the Insurtech game were not just redefining whats achievable were creating a place where amazing career moments are made possible.

Job Summary

Applied Systems Inc. a worldwide leader in insurance technology is currently searching for an experienced Data Integration Manager Corporate Data Services with proven experience in Data and DataOps to join our are on an exciting journey to build and scale our Data and Analytics capabilities to enable better data-driven decision making and AI capabilities across the business. In this role you play a pivotal role in driving our Data Strategy. You will write code set engineering standards and drive delivery while also leading and growing our team of Data Engineers in India. If you possess a curious and proactive personality and you are passionate about data solutions that drive direct business outcomes we want to hear from you!

What You will Do

Team Leadership

• Lead and mentor a growing team of data engineers including talent reviews and career development.
• Own planning estimation prioritization and delivery tracking that aligns with leadership direction and expectations.
• Coordinate intake and stakeholder communication for data requests and roadmap planning.
• Set and enforce compliance with architecture standards engineering standards for code quality testing documentation and production readiness.
• Foster a culture of curiosity and continuous learning where engineers explore new technologies share knowledge and .

Data Pipelines and Integration

• Design build and maintain ETL/ELT pipelines from enterprise applications internal services and third-party APIs.
• Design develop operationalize robust and scalable data pipelines from enterprise applications internal services and third-party APIs that support business needs.
• Lead in designing and building production data pipelines from data ingestion to consumption using GCP services Python BigQuery DBT SQL Apache Airflow Celigo etc.
• Drive AI adoption across the teams engineering workflows - the team has a mandate for AI adoption and youll be expected to be a role model to champion remove friction and help engineers integrate AI tools into their daily development code review documentation and debugging practices.
• Design and oversee data models in a medallion architecture.
• Mandate high standards for data validation profiling reconciliation and quality initiatives.
• Stay updated with industry trends and technologies to continuously improve our data engineering practices.

Reliability and DataOps

• Build monitoring and alerting for data jobs orchestration and lakehouse health.
• Participate and evolve production support incident response and on-call rotations.

Strategic Leadership

• Translate business goals into scalable data and automation solutions in partnership with both business and technology stakeholders.
• Champion data democratization and self-service access to data and analytics across the company.
• Evaluate and recommend tools and end-to-end solutions across Analytics Data Engineering ML Engineering and Data Governance.
• Apply systems thinking to identify underlying problems and/or opportunities.

Were Excited to Learn More About You

• 3 years of leading or managing data engineering teams with an emphasis on data analytics devops and modern data platforms.
• 5 years of hands-on data engineering experience in cloud environments.
• Direct experience in design and development of large scale data solutions using GCP services like DataProc Dataflow Cloud Bigtable BigQuery Cloud SQL Pub/Sub Cloud Data Fusion Cloud Composer Cloud Functions Cloud storage Compute Engine Looker and Cloud IAM.
• Experience in implementing cloud data solutions in the context of business applications cost optimization business strategic needs and future growth goals as it relates to becoming a data- driven organization.
• Expert level knowledge of architecture frameworks methodologies and tools.
• Solid working understanding across all the disciplines within a data team - Data Visualization Data Governance Artificial Intelligence and Machine Learning.
• Experience implementing Infrastructure as Code (IaC) with regards to automating Cloud IAM and Data Policy Tags.
• Excellent communication skills and the ability to articulate technical concepts to non-technical stakeholders.
• Expert level knowledge of Data Modeling.
• Strong execution habits: you create and maintain project timelines know when things are off track before your team tells you.
• A proactive mindset toward AI-assisted engineering - you should already be using AI tools (Copilot Claude ChatGPT or similar) in your own work and have opinions about how they change engineering workflows code quality and team productivity. Were looking for someone who sees AI as a multiplier.

When You Join Team Applied You Can Expect:

A culture that values who you areand recognizes that you arent just an employee; you are a teammate and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.

We flex our time together collaborating remotely and in-person to empower our teams to work in the ways that work best for them.

Learn more about the people behind our products at

• LinkedIn Page Applied Systems India
• Security Matters:

  Our candidates personal information and online safety are top of mind for us. At Applied we proactively protect your personal information and only communicate with candidates via a email or through our official careers portal.

  EEO Statement

  Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied we dont discriminate and we are committed to recruit develop retain and promote regardless of race religion color national origin sexual orientation gender identity disability age veteran status and other protected status as required by applicable law.