Job description

Plymouth Rock is transitioning to an AI/ML-driven operating model. The Data Management team within the Data Office will build and deploy an enterprise data governance framework. This framework will ensure data is trusted, secure, compliant, and accessible through Business Intelligence, Machine Learning (ML), and Artificial Intelligence (AI) applications. The team will promote a culture where data is treated as a strategic asset and company resource, with clear accountability for its quality, use and capture. You will work closely with other Data Office members, IT groups, AI/ML teams, and business partners to drive adoption of enterprise data policies and standards, improve data quality, and reduce data loss/duplication and technical debt on the data platform. Responsibilities: • Support the Data Management leader to design and implement a comprehensive data governance operation aligned to Plymouth Rock’s AI/ML-first data strategy, which includes: • Informing, influencing, and obtaining buy-in from the entire company on the importance of data governance on business objectives and AI/ML imperative. • Developing policies, standards, metrics, tools, and processes to ensure robust and comprehensive documentation of data inventories, meaning, permissions, lineage and quality for downstream enterprise development and application. • Driving engagement and adoption with data owners, producers, stewards, AI/ML teams, and stakeholders (such as Legal, Audit/Risk, and Information Security) • First Priority for the team and you is: • Assess usability and completeness of internal catalogs for data on the platform and other sources. Work with relevant business/IT partners to make data governance updates within the catalog and ensure proper ownership, certification, and lifecycle alignment with enterprise standards. • Develop and implement metadata and catalog governance standards, including defining tagging frameworks, creating metadata templates, normalizing existing metadata, and establishing validation processes to ensure consistency and quality across reports, dashboards, and other analytics assets. • Define and enforce promotion and lifecycle governance standards, including establishing processes for assets moving through POC, Development, and Production, implementing governance checkpoints, and documenting approval and ownership requirements aligned to data platform modernization goals. • Develop and deliver training, enablement, and communication materials to support catalog usage, metadata understanding, and governance adoption, including end-user guidance and stakeholder presentations to promote a data-driven culture. • Support the Data Management leader to test and integrate a governance tool for the data platform that would complement the governance operating model. • Help design and support responsible AI usage and controls around data privacy, bias, and regulatory compliance, including working with Advanced Analytics and AI teams to follow/implement them in their use cases. • Establish and enforce lineage tracking to enable traceability from source systems through downstream consumption. • Work with IT and business partners to investigate and address data leakage between insurance operations and data stores. • Collaborate cross-functionally with Data Office, Analytics, and IT teams to ensure consistent adoption of governance practices and support broader enterprise data initiatives. Qualifications: • Bachelor’s degree in Data Science, Computer Science, Information Systems, Business Administration, or a related field is preferred. • SQL proficiency • 5+ years of experience in data governance or enterprise data management, including implementing governance frameworks in complex, multi-system environments. • Experience supporting AI/ML data requirements, including structured, unstructured, and streaming data. • Knowledge of MLOps practices, model versioning and deployment pipelines, and AWS services such as Glue, S3, SageMaker, and Snowflake. • Python programming • Strong understanding of data privacy, regulatory requirements, and responsible AI practices. • Demonstrated ability to successfully work in cross-functional environments with business, technology, and analytics teams. • P&C Insurance experience and working familiarity of insurance underwriting operations and platform systems preferred. The pay range for this position is $105,000 to $140,000 annually. Actual compensation will vary based on multiple factors, including employee knowledge and experience, role scope, business needs, geographical location, and internal equity. Perks and Benefits: • 4 weeks accrued paid time off + 10 paid national holidays per year • Free onsite gym at our Boston Location • Tuition Reimbursement • Low cost and excellent coverage health insurance options that start on Day 1 (medical, dental, vision) • Robust health and wellness program and fitness reimbursements • Auto and home insurance discounts • Matching gift opportunities • Annual 401(k) Employer Contribution (up to 7.5% of your base salary) • Various Paid Family leave options including Paid Parental Leave • Resources to promote Professional Development (LinkedIn Learning and licensure assistance) • Convenient location directly across from South Station and Pre-Tax Commuter Benefits About the Company The Plymouth Rock Company and its affiliated group of companies write and manage over $2 billion in personal and commercial auto and homeowner’s insurance throughout the Northeast and mid-Atlantic, where we have built an unparalleled reputation for service. We continuously invest in technology, our employees thrive in our empowering environment, and our customers are among the most loyal in the industry. The Plymouth Rock group of companies employs more than 1,900 people and is headquartered in Boston, Massachusetts. Plymouth Rock Assurance Corporation holds an A.M. Best rating of “A-/Excellent” #LI-SM1

Requirements

Must-haves

Support the Data Management leader to design and implement a comprehensive data governance operation aligned to Plymouth Rock’s AI/ML-first data strategy, which includes:
Informing, influencing, and obtaining buy-in from the entire company on the importance of data governance on business objectives and AI/ML imperative.
Driving engagement and adoption with data owners, producers, stewards, AI/ML teams, and stakeholders (such as Legal, Audit/Risk, and Information Security)
First Priority for the team and you is:
Support the Data Management leader to test and integrate a governance tool for the data platform that would complement the governance operating model.
Help design and support responsible AI usage and controls around data privacy, bias, and regulatory compliance, including working with Advanced Analytics and AI teams to follow/implement them in their use cases.
Establish and enforce lineage tracking to enable traceability from source systems through downstream consumption.
Work with IT and business partners to investigate and address data leakage between insurance operations and data stores.
Collaborate cross-functionally with Data Office, Analytics, and IT teams to ensure consistent adoption of governance practices and support broader enterprise data initiatives.
SQL proficiency
5+ years of experience in data governance or enterprise data management, including implementing governance frameworks in complex, multi-system environments.
Experience supporting AI/ML data requirements, including structured, unstructured, and streaming data.
Knowledge of MLOps practices, model versioning and deployment pipelines, and AWS services such as Glue, S3, SageMaker, and Snowflake.
Python programming
Strong understanding of data privacy, regulatory requirements, and responsible AI practices.
Demonstrated ability to successfully work in cross-functional environments with business, technology, and analytics teams.

Nice-to-haves

Bachelor’s degree in Data Science, Computer Science, Information Systems, Business Administration, or a related field is preferred.
P&C Insurance experience and working familiarity of insurance underwriting operations and platform systems preferred.

Application prep

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Keywords to mirror

aimlmachine learningsqlawspython

Platform: adp-recruiting
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401(K)

Paid Time Off

Parental Leave

Wellness

Professional Development