Data Management Consultant

Shree Narayani Networking Solutions•Boston, MA

23h

About The Position

Support the development and implementation of an enterprise data governance framework aligned with an AI/ML-first strategy. Collaborate with Data Office, IT, AI/ML teams, and business partners to drive adoption of data policies, standards, and best practices. Develop and enforce policies, standards, metrics, and processes for data documentation, quality, lineage, permissions, and compliance. Assess, update, and maintain internal data catalogs, ensuring proper ownership, certification, and lifecycle management. Create and implement metadata and catalog governance standards, including tagging, templates, normalization, and validation processes. Define and enforce asset promotion and lifecycle governance, including processes for POC, Development, and Production environments. Develop and deliver training and communication materials to support governance adoption and promote a data-driven culture. Support testing and integration of data governance tools to complement the operating model. Help design and implement responsible AI/ML usage controls, addressing data privacy, bias, and regulatory compliance. Establish and enforce lineage tracking for data traceability from source to consumption. Investigate and address data leakage between insurance operations and data stores. Collaborate cross-functionally to ensure consistent adoption of data governance practices and support enterprise data initiatives.

Requirements

Experience in developing and implementing enterprise data governance frameworks.
Familiarity with AI/ML strategies.
Experience collaborating with Data Offices, IT, AI/ML teams, and business partners.
Knowledge of data policies, standards, and best practices.
Experience in developing and enforcing policies, standards, metrics, and processes for data documentation, quality, lineage, permissions, and compliance.
Experience assessing, updating, and maintaining internal data catalogs.
Experience creating and implementing metadata and catalog governance standards.
Experience defining and enforcing asset promotion and lifecycle governance.
Experience developing and delivering training and communication materials.
Experience supporting testing and integration of data governance tools.
Knowledge of responsible AI/ML usage controls, data privacy, bias, and regulatory compliance.
Experience establishing and enforcing lineage tracking.
Experience investigating and addressing data leakage.
Strong cross-functional collaboration skills.

Responsibilities

Support the development and implementation of an enterprise data governance framework aligned with an AI/ML-first strategy.
Collaborate with Data Office, IT, AI/ML teams, and business partners to drive adoption of data policies, standards, and best practices.
Develop and enforce policies, standards, metrics, and processes for data documentation, quality, lineage, permissions, and compliance.
Assess, update, and maintain internal data catalogs, ensuring proper ownership, certification, and lifecycle management.
Create and implement metadata and catalog governance standards, including tagging, templates, normalization, and validation processes.
Define and enforce asset promotion and lifecycle governance, including processes for POC, Development, and Production environments.
Develop and deliver training and communication materials to support governance adoption and promote a data-driven culture.
Support testing and integration of data governance tools to complement the operating model.
Help design and implement responsible AI/ML usage controls, addressing data privacy, bias, and regulatory compliance.
Establish and enforce lineage tracking for data traceability from source to consumption.
Investigate and address data leakage between insurance operations and data stores.
Collaborate cross-functionally to ensure consistent adoption of data governance practices and support enterprise data initiatives.