We're now at the boldest phase of our Next Horizon journey

At Gore Mutual, we've completely transformed our business in under three years. By investing in top talent and leading technology, we've redefined what it means to be a modern mutual that does good.

Our path forward brings a sharper focus on our business' performance that's powered by innovation and an agile, high-performing culture – we're built for success.

We're well on our way to becoming a purpose-driven, digitally led national insurer. Come join us.

Manager-Data Engineering is responsible for designing, developing and maintaining data infrastructure to support efficient data management and analytics within the organization. It plays a pivotal role in defining and building the foundational data layer, translating business initiatives into robust data models and collaborating closely with cross-functional stakeholders to design, develop, and implement scalable and resilient data pipeline solutions supporting actionable insights for senior executives and business partners.

This role will also oversee a team of data engineers and be responsible for building a data centric culture within the team.

What will you do?

Data Modelling, Infrastructure and Design

• Lead the development and maintain highly scalable, reliable, and resilient systems to evolve and mature our data infrastructure and tech stack.
• Develop configuration driven, scalable, efficient, and robust data pipelines for spanning across employee productivity, capacity planning, incentive designs and reporting.
• Develop and implement data quality checks within pipelines to ensure the integrity and accuracy of incoming data.

Data Strategy

• Drive the definition of the future state data and analytics platform in the Azure Data ecosystem and lead the migration of the legacy data engineering workloads.
• Collaborate with cross-functional teams, including data scientists, data product owners, and business stakeholders to understand their data requirements and deliver high-quality data pipeline solutions.

Team Leadership and Development

• Build and lead a high-functioning, well-motivated engineering team and support them in the iterative development of high-quality solutions. Provide proactive, ongoing coaching to enable and empower team members and delivery squads.
• Foster a culture of innovation within the data engineering team, encouraging experimentation and exploration of new ideas and technologies and enforce best practices for data engineering.
• Allocate resources effectively, manage workloads, and set team goals to ensure that data engineering projects are completed on time and within budget.

Security and Compliance

• Data Security Measures: Implement data encryption, access controls, and authentication mechanisms to protect sensitive customer information and comply with data privacy regulations.
• Compliance Auditing: Conduct regular compliance audits to ensure that data storage and processing practices adhere to industry regulations and internal policies.
• Incident Response Planning: Develop and maintain an incident response plan to address data breaches and security incidents promptly.

Tool Selection and Evaluation

• Tool Selection: Evaluate emerging data technologies and select appropriate data engineering tools, platforms, and software solutions to enhance the efficiency of data infrastructure and pipelines.
• Cost Analysis: Monitor costs associated with data engineering tools and services, making adjustments as necessary to optimize budget allocation.

What will you need to succeed in this role?

• Bachelor's or master's degree in computer science, Data Engineering, Software Engineering or a related field.
• 8+ Years of relevant experience required. This includes experience in data engineering, data modelling, data architecture related roles.
• 3+ Years of people management/Leadership experience
• Experience scaling and managing 3+ person teams.
• Experience with designing and architecting data engineering pipelines using AWS/Azure Data technologies with focus on data domains and data platforms.
• Strong understanding of data structures, data modeling, and software architecture.
• Demonstrated ability to provide creative solutions to complex problems; and to translate those solutions into detailed workplans that can be effectively implemented by development teams/squads.
• A proven track-record of building and leading high-performing technology teams by example. Ability to lead, manage and inspire teams both locally and remotely, within a hybrid work environment.
• Strong problem-solving and critical-thinking abilities.
• Strong communication and collaboration skills.
• Continuous learning and staying updated with the latest advancements in Azure Databricks and data engineering are essential for success in this role.
• A result-oriented mindset, with the discipline to build operationally hardened systems, the courage to drive innovation across new capabilities and technologies, and the resilience and perseverance to 'fail forward' towards success.

#LI-Hybrid

#IndHP

Gore Mutual Insurance is committed to providing accommodations for people with disabilities during all phases of the recruiting process, including the application process. If you require accommodation because of a disability, we will work with you to meet your needs. If you are selected for an interview and require accommodation, please advise the HR representative who will consult with you to determine an appropriate accommodation.