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Data Governance Analyst (807900)

InterSources Inc.

  • Fremont, CA
  • Today

    Highlights

    We align strategy with execution and provide secure service solutions by developing and using the latest technologies that thrive our resources to deliver industry-leading capabilities to our clients and customers, making it convenient for our clients to do business with InterSources Inc. The analyst will work closely with Data Owners, Data Stewards, Business Owners, Enterprise Architecture, Data Engineers, Project Teams, and Information Security to establish trusted, governed enterprise data supporting both operational and analytical use cases.

    Numbers & Facts

    LocationFremont, CA
    IndustryComputer/IT Services
    Company Size100 to 499 employees
    Year Founded2007
    Websitehttps://www.intersourcesinc.com/

    Description

    Title: Data Governance Analyst (807900)
    Location: Richmond, VA 23219
    Interview mode: Both Web Cam and In Person Interview
    Work mode: Hybrid
    Duration: Nine (9 -12) months with possible extension

    The Office of Data Governance is seeking an experienced Data Governance Analyst to support implementation of the agency's Enterprise Data Governance Program.

    The analyst will work closely with Data Owners, Data Stewards, Business Owners, Enterprise Architecture, Data Engineers, Project Teams, and Information Security to establish trusted, governed enterprise data supporting both operational and analytical use cases.

    This role focuses on governance activities supporting enterprise data ingested into the AWS Data Platform and consumed through Snowflake. The successful candidate will help establish governance processes, metadata, business rules, data quality standards, and stewardship practices while supporting the agency's growing enterprise data platform.


    REQUIRED EXPERIENCE
    • Minimum 10 years of experience in Data Governance, Data Management, Data Quality, Business Analysis, Metadata Management, or related disciplines.
    • Experience implementing enterprise Data Governance programs.
    • Experience facilitating governance workshops with business and technical stakeholders.
    • Strong SQL skills for data analysis and validation.
    • Experience documenting metadata, business glossaries, and data dictionaries.
    • Experience defining business rules and Critical Data Elements (CDEs).
    • Experience performing data profiling, reconciliation, and validation.
    • Excellent written and verbal communication skills.

    PREFERRED EXPERIENCE
    Experience with several of the following technologies:
    • Amazon Web Services (AWS)
    • S3
    • Glue
    • Glue Data Catalog
    • Lake Formation
    • Snowflake
    • Python
    • SQL
    • Power BI
    • SharePoint
    Experience in healthcare, behavioral health, Medicaid, or Virginia state government is highly desirable.

    KEY RESPONSIBILITIES

    The successful candidate will:
    Data Governance
    • Support implementation of the DBHDS Enterprise Data Governance Program.
    • Facilitate governance workshops with business stakeholders.
    • Support onboarding of new applications into the Enterprise Data Governance Program.
    • Partner with Data Owners and Data Stewards to establish governance for new enterprise datasets.
    • Develop and maintain governance policies, standards, procedures, and supporting documentation.

    Metadata Management
    • Capture and maintain business metadata, technical metadata, and data dictionaries.
    • Develop and maintain the Enterprise Business Glossary.
    • Define and document Critical Data Elements (CDEs).
    • Map business metadata to technical metadata.
    • Support metadata ingestion into the enterprise metadata repository.

    Data Quality
    • Define business data quality rules.
    • Support data profiling and business validation activities.
    • Monitor data quality metrics and trends.
    • Assist Data Stewards with remediation planning.
    • Perform reconciliation and validation across enterprise data sources.

    Data Lineage & Architecture
    • Document business and technical data lineage.
    • Document end-to-end data flows.
    • Assist with impact analysis for new data sources.
    • Support governance activities across Bronze, Silver, Gold, Operational Data Store (ODS), and Analytical Data Store (ADS) layers.

    Enterprise Data Platform
    • Collaborate with Data Engineers supporting Python-based AWS data pipelines.
    • Support governance of enterprise datasets published to Snowflake.
    • Assist with proof-of-concept initiatives to consolidate data from multiple source systems into governed enterprise data assets.
    • Support Information Lifecycle Management (ILM), data classification, retention, and internal data sharing processes.

    Reporting & Communication
    • Produce governance dashboards and metrics.
    • Prepare executive presentations and governance reports.
    • Present recommendations to governance committees and project teams.
    • Communicate governance requirements to both business and technical audiences.

    DESIRED KNOWLEDGE

    Candidates with experience in the following areas are strongly preferred:
    • Enterprise Data Governance
    • Data Stewardship
    • Metadata Management
    • Data Catalogs
    • Data Quality Management
    • Master Data Management
    • Business Glossaries
    • Critical Data Elements
    • Data Classification
    • Data Lineage
    • Information Lifecycle Management
    • Cloud Data Platforms
    • Operational Data Stores
    • Data Warehousing
    • AI-ready data governance

    DESIRED CHARACTERISTICS
    • Strong facilitation skills
    • Excellent analytical abilities
    • Outstanding written and verbal communication
    • Highly organized and detail-oriented
    • Self-motivated and collaborative
    • Ability to translate business requirements into governance artifacts
    • Passion for improving enterprise data quality and governance

    About Us:
    InterSources Inc, a Certified Diverse Supplier, was founded in 2007 and offers innovative solutions to help clients with Digital Transformations across various domains and industries. Our history spans over 19 years and today we are an Award-Winning Global Software Consultancy solving complex problems with technology. We recognize that our employees and our clients are our strengths as the diverse talents and opportunities they bring to the table enable us to grow as a global platform and they are causally linked with our success. We provide strategic and technical advice, and we have expertise in areas covering Artificial Intelligence, Cloud Migration, Custom Software Development, Data Analytics Infrastructure & Cloud Solutions, Cyber Security Services, etc. We make reasonable accommodations for clients and employees and we do not discriminate based on any protected attribute including race, religion, color, national origin, gender sexual orientation, gender identity, age, or marital status. We also are a Google Cloud partner company. We align strategy with execution and provide secure service solutions by developing and using the latest technologies that thrive our resources to deliver industry-leading capabilities to our clients and customers, making it convenient for our clients to do business with InterSources Inc. Our teams also drive growth by refining technology-driven client experiences that put the users first, providing an unparalleled experience. This results in strengthening the core technologies of clients, enabling them to scale with flexibility, create seamless digital experiences and build lifelong relationships.

    About Company

    It’s all about harnessing the real power of data. InterSources Inc was founded in 2007 providing intelligent data solutions to clients across industries and geographies.

    Over the years, we have built products on Business Intelligence & Big Data platform simplifying and transforming the way business intelligence and real-time data analytics empower Corporations and end-users using Softwares like Tableau, Business Objects, MicroStrategy, etc.

    In the process, we have enabled companies to use data analytics to help better understand, predict and influence consumer behavior, identify new market opportunities as they emerge, provide to users the data they need, alert the user when and why key business metrics have changed and enable them to make smart decisions.

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