Databricks AI & Governance

The Digital Asset Management Consortium, Inc.; Plano, Northern (TX, KY); Hybrid; USD 150,000 - 230,000; Full time

Job summary

NTT DATA is seeking a senior AI & Governance professional in Plano, TX to design, develop, and deploy AI-driven governance, data quality, and compliance solutions across enterprise platforms.

You will build scalable AI agents, work with LLMs and RAG, integrate with data catalogs and governance tools, and collaborate with stakeholders in an Agile environment to advance enterprise data strategy.

Qualifications

• Minimum 8+ years of experience in Data Management, Data Engineering, Data Governance, Metadata Management, or Enterprise Data Architecture.
• Minimum 5+ years of experience designing and implementing enterprise data governance, master data management (MDM), metadata management, data quality, or regulatory compliance solutions.
• Minimum 3+ years of hands-on experience developing AI/ML, Generative AI, or Agentic AI solutions using LLMs and orchestration frameworks.

Responsibilities

• Design, develop, and deploy Agentic AI solutions that automate data governance, data quality, metadata management, lineage analysis, policy enforcement, and stewardship workflows across enterprise data platforms.
• Build scalable AI agents leveraging LLMs, RAG, orchestration frameworks, and governance tools to support data management and regulatory compliance initiatives.
• Partner with Data Governance Engineers, Data Engineers, Architects, and business stakeholders to rapidly discover governance use cases, define agent capabilities, and align solution architecture with enterprise data strategy.
• Develop and maintain autonomous and human-in-the-loop agents that assist with data cataloging, business glossary management, policy compliance validation, data ownership assignment, issue remediation, and governance workflow orchestration.
• Integrate AI agents with enterprise platforms including data catalogs, metadata repositories, data quality tools, MDM platforms, cloud data platforms, and governance technologies such as Ataccama, Collibra, Informatica, Microsoft Purview, Databricks, Snowflake, AWS, and Azure.
• Create proof-of-value demonstrations and pilot implementations to validate governance automation opportunities and accelerate stakeholder adoption.
• Collaborate with internal delivery teams and client stakeholders to continuously refine governance backlogs, prioritize agent development initiatives, and incrementally onboard governance controls across the enterprise.
• Implement monitoring, observability, guardrails, and governance controls for Agentic AI solutions to ensure security, compliance, transparency, and responsible AI practices.
• Support proposal development, solution architecture discussions, effort estimation, and client presentations related to Data & AI governance modernization initiatives.
• Contribute to reusable frameworks, accelerators, and best practices for enterprise-scale Agentic AI implementations focused on data governance and management.

Skills

Python

AI/ML development

LLMs

Cloud platforms

API design

Agile methodologies

Data governance

Data quality

Data lineage

Stakeholder collaboration

Tools

LangChain

LangGraph

Semantic Kernel

AutoGen

CrewAI

OpenAI

Azure AI Foundry

Databricks Unity Catalog

Job description

The Databricks AI & Governance role at NTT DATA focuses on designing, developing, and deploying AI-driven solutions to automate data governance, quality, and compliance across enterprise data platforms. Responsibilities include building scalable AI agents, integrating with enterprise platforms, and collaborating with stakeholders to align governance strategies. The position requires at least 8 years of experience in data management or engineering, 5+ years in governance, and 3+ years in AI/ML solution development. Proficiency in Python, modern AI frameworks, and cloud platforms is essential. The role also involves designing APIs, workflow orchestration, and governance policies, as well as supporting proposal development and client presentations. Strong communication skills and experience in Agile environments are required.

Day to Day Job Duties:

• Design, develop, and deploy Agentic AI solutions that automate data governance, data quality, metadata management, lineage analysis, policy enforcement, and stewardship workflows across enterprise data platforms.
• Build scalable AI agents leveraging Large Language Models (LLMs), Retrieval Augmented Generation (RAG), orchestration frameworks, and enterprise governance tools to support data management and regulatory compliance initiatives.
• Partner with Data Governance Engineers, Data Engineers, Architects, and business stakeholders to rapidly discover governance use cases, define agent capabilities, and align solution architecture with enterprise data strategy.
• Develop and maintain autonomous and human-in-the-loop agents that assist with data cataloging, business glossary management, policy compliance validation, data ownership assignment, issue remediation, and governance workflow orchestration.
• Integrate AI agents with enterprise platforms including data catalogs, metadata repositories, data quality tools, MDM platforms, cloud data platforms, and governance technologies such as Ataccama, Collibra, Informatica, Microsoft Purview, Databricks, Snowflake, AWS, and Azure.
• Create proof-of-value demonstrations and pilot implementations to validate governance automation opportunities and accelerate stakeholder adoption.
• Collaborate with internal delivery teams and client stakeholders to continuously refine governance backlogs, prioritize agent development initiatives, and incrementally onboard governance controls across the enterprise.
• Implement monitoring, observability, guardrails, and governance controls for Agentic AI solutions to ensure security, compliance, transparency, and responsible AI practices.
• Support proposal development, solution architecture discussions, effort estimation, and client presentations related to Data & AI governance modernization initiatives.
• Contribute to reusable frameworks, accelerators, and best practices for enterprise-scale Agentic AI implementations focused on data governance and management.

Basic Qualifications:

• Minimum 8+ years of experience in Data Management, Data Engineering, Data Governance, Metadata Management, or Enterprise Data Architecture.
• Minimum 5+ years of experience designing and implementing enterprise data governance, master data management (MDM), metadata management, data quality, or regulatory compliance solutions.
• Minimum 3+ years of experience developing AI/ML, Generative AI, or Agentic AI solutions using LLMs and orchestration frameworks.
• Minimum 3+ years of hands-on experience with Python and modern AI development frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, OpenAI, Azure AI Foundry, Amazon Bedrock, or equivalent platforms.
• Minimum 3+ years of experience working with cloud platforms including Azure, AWS, or Google Cloud Platform.
• Minimum 2+ years of experience integrating governance platforms such as Collibra, Databricks Unity Catalog, or related data management technologies.
• Minimum 2+ years of experience designing APIs, workflow orchestration, event-driven architectures, or enterprise system integrations.
• Experience defining governance policies, lineage workflows, data quality controls, stewardship processes, and compliance monitoring capabilities.
• Experience working in Agile delivery environments with backlog-driven development, iterative releases, and stakeholder feedback cycles.
• Strong client-facing communication skills with the ability to lead workshops, requirements gathering sessions, architecture reviews, and executive demonstrations.

Visit Job Website

Employer: NTT

Location: Plano, TX, USA

Posted Date: 10/09/2026

Expiry Date: 10/01/2027

Type: Full-Time

Categories: Data / Knowledge Manager / Analysis / Governance, System Administrator / Integrator, Software Developer / Programmer / Scripting, Artificial Intelligence / Machine Learning

Ref: DN-JB-3046

Added by: DAM News Administrator