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NTT Data

Global IT services and consulting provider.

Data Governance

AI Application EngineeringConfirmed live in the last 24 hours
Full-timePlano, TX, USA

About the Job

Requirements

  • At least 8 years of experience in data management, data engineering, data governance, metadata management, or enterprise data architecture.
  • At least 5 years of experience designing and implementing enterprise data governance, master data management, metadata management, data quality, or regulatory compliance solutions.
  • At least 3 years of experience developing artificial intelligence, machine learning, generative AI, or agentic AI solutions using large language models and orchestration frameworks.
  • At least 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.
  • At least 3 years of experience working with cloud platforms including Azure, AWS, or Google Cloud Platform.
  • At least 2 years of experience integrating governance platforms such as Collibra, Databricks Unity Catalog, or related data management technologies.
  • At least 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.
  • Ability to lead client-facing workshops, requirements-gathering sessions, architecture reviews, and executive demonstrations.

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 using large language models, retrieval-augmented generation, 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 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, master data management 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 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 and AI governance modernization initiatives.
  • Contribute reusable frameworks, accelerators, and best practices for enterprise-scale agentic AI implementations focused on data governance and management.

About the Company

NTT Data

Global IT services and consulting provider.

NTT DATA is a global IT and business services provider that helps organizations run and transform their technology and operations. It delivers consulting, industry solutions, cloud migration, cybersecurity, data analytics, and managed services to modernize systems and processes. It differentiates itself through its large scale, deep sector expertise in banking, healthcare, manufacturing, public sector, and automotive, and its broad ecosystem of partners with Microsoft, SAP, AWS, and Salesforce. Its goal is to help large enterprises digitally transform and optimize operations at scale using cloud-native approaches and secure IT environments.

Company size
10,001+
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
1988

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