data steward

ZEISS Group

<div>
 
 About Us
 
 
 
 
 How many companies can say they have been in business for over 178 years?!
 
 
 
 Here at ZEISS, we certainly can! As the pioneers of science, ZEISS handles the ever-changing environments in a fast-paced world, meeting it with cutting edge technologies and continuous advancements. ZEISS believes that innovation and technology are the key to a sustainable future and solutions for global change. We have a diverse range of portfolios throughout the ZEISS family in segments like Industrial Quality &amp; Research, Medical Technology, Consumer Markets and Semiconductor Manufacturing Technology. We are a global company with over 42,000 employees and have over 4,000 in the US and Canada alone! Make a difference, come join the team!
 
 
 
 Location: Dublin, CA
 
 
 
 
 What&rsquo;s the role?
 
 
 
 We are seeking a skilled and detail-oriented SAP MDG Master Data Steward to join our team. This role combines expertise in SAP Master Data Governance (MDG) with the responsibilities of a Data Steward, focusing on managing and maintaining the integrity of master data while enforcing data governance policies. The ideal candidate will have a detailed understanding of business needs, processes, and corresponding data, contributing to the digital transformation and data excellence within the organization.
 
 
 
 Sound Interesting?
 
 
 
 
 Here&rsquo;s What You&rsquo;ll Do
 
 
 
 
 Master Data Management:
 
 
 
 <ul>
 <li>
 Oversee the creation, maintenance, and deletion of master data records in SAP MDG.
 </li>
 <li>
 Ensure data quality and integrity by implementing data governance policies and procedures.
 
 
 </li>
 </ul>
 
 Data Quality And Analysis
 
 
 
 <ul>
 <li>
 Conduct regular audits and data quality assessments to identify and resolve data discrepancies.
 </li>
 <li>
 Monitor and manage defined data quality KPIs within the scope of responsibility.
 
 
 </li>
 </ul>
 
 Data Stewardship
 
 
 
 <ul>
 <li>
 Act as the contact person for any data-related questions and assist employees in understanding data.
 </li>
 <li>
 Document and maintain all catalogue-relevant elements, including business descriptions, governance roles, data lineage, data quality, and data policies.
 
 
 </li>
 </ul>
 
 Data Governance
 
 
 
 <ul>
 <li>
 Collaborate with business stakeholders to define local data standards and governance processes, ensuring compliance with established policies.
 </li>
 <li>
 Educate local data users on best practices for data creation and management to uphold business requirements.
 </li>
 <li>
 Actively supervise data entry processes to enforce data integrity and quality, ensuring that all data records meet organizational standards.
 </li>
 <li>
 Ensure data privacy and compliance with CSOPs/SOPs, enforcing processes at every stage of the data lifecycle.
 
 
 </li>
 </ul>
 
 Collaboration And Access Management
 
 
 
 <ul>
 <li>
 Work closely with cross-functional teams, including IT, finance, and operations, to gather requirements and ensure alignment on master data initiatives.
 </li>
 <li>
 Grant data access permissions and ensure that the right people have access to the required data.
 
 
 </li>
 </ul>
 
 Do you qualify?
 
 
 
 
 Education
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in business administration, Information Technology, or a related field.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Minimum of 3 to 5 years of experience in master data management, preferably within an SAP environment.
 </li>
 <li>
 Experience with SAP MDG and data stewardship is highly desirable.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 <ul>
 <li>
 Understanding of business areas underlying owned data objects.
 </li>
 <li>
 Effective communicator and initial point of contact for data-related questions.
 </li>
 <li>
 Strong team player and collaborator.
 </li>
 <li>
 Affinity for setting up, maintaining, and sharing documentation for data asset management.
 </li>
 <li>
 Good understanding of data cataloguing and quality.
 </li>
 <li>
 Knowledge of relevant data standards and formats.
 </li>
 <li>
 Ability to evaluate data assets regarding conformance with data policies and processing conditions.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Knowledge of data governance frameworks and best practices.
 </li>
 <li>
 Familiarity with data modeling concepts and data quality tools.
 </li>
 <li>
 Certification in SAP MDG or related fields is a plus.
 
 
 </li>
 </ul>
 The annual pay range for this position is $94,200 - $117,800.
 
 
 The pay offered for this role may be influenced by factors such as job location, scope of role, qualifications, education, experience, &amp; complexity/specialization/scarcity of talent.
 
 
 This position is eligible for a Performance Bonus.
 
 
 
 We have amazing benefits to support you as an employee at ZEISS!
 
 
 
 <ul>
 <li>
 Medical
 </li>
 <li>
 Vision
 </li>
 <li>
 Dental
 </li>
 <li>
 401k Matching
 </li>
 <li>
 Employee Assistance Programs
 </li>
 <li>
 Vacation and sick pay
 </li>
 <li>
 The list goes on!
 
 
 </li>
 </ul>
 
 The above is intended to describe the general content of and requirements for this job. It is not to be construed as an exhaustive statement of requirements, duties, or responsibilities. The Company reserves the right to interpret, amend, or otherwise modify, in whole or in part, any job description at any time, at its sole discretion.
 
 
 
 
 Your ZEISS Recruiting Team
 
 
 
 Tina Eilerman
 
 
 
 Zeiss provides Equal Employment Opportunity without unlawful regard to an Applicants race, color, religion, creed, sex, gender, marital status, age, national origin or ancestry, physical or mental disability, medical condition, military or veteran status, citizen status, sexual orientation, pregnancy (includes childbirth, breastfeeding or related medical condition), genetic predisposition, carrier status, gender expression or identity, including transgender identity, or any other class or characteristic protected by federal, state, or local law of the employee (or the people with whom the employee associates, including relatives and friends).
 
</div>

Master Data Steward

Information Technology Senior Management Forum

<div><div>Posted Date
3/19/2026
</div><div>Description<div> 
Regular or Temporary:
Regular
Language Fluency: English (Required)
Work Shift:
1st shift (United States of America)<h4 class="jobSectionHeader">
Please review the following job description:</h4>
Responsible for leading the ingestion, validation, and presentation of Data Lineage across Truist&rsquo;s Enterprise Lineage platforms. This includes coordinating with Business Data Stewards (BDS), Technical/Data Platform teams, and Enterprise Infrastructure partners to enable automated lineage capabilities, capture and integrate manual lineage, ensure completeness and accuracy, and support root-cause analysis to resolve lineage issues. 
 
Accountable for managing and aligning diverse team capabilities to meet Data Lineage requirements defined in enterprise policy and driven by business-specific use cases across multiple lines of business. Additionally responsible for enabling and maintaining core Data Management capabilities related to Data Lineage&mdash;including lineage reviews, ongoing monitoring, and execution of lineage-related controls. 
 
Also responsible for developing and delivering Data Lineage reporting and visualizations to support business use cases, regulatory requirements, and audit needs. 
 
North Carolina: Charlotte/Raleigh/Wilson/Greensboro 
Georgia: Atlanta 
Virginia: Richmond
ESSENTIAL DUTIES AND RESPONSIBILITIES 
Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.
ESSENTIAL DUTIES AND RESPONSIBILITIES
<ul><li>Lead the ingestion, validation, and presentation of Data Lineage across Truist&rsquo;s Enterprise Lineage platforms, ensuring lineage is accurate, complete, and aligned with enterprise standards.</li><li>
Perform Product Management Function for Lineage Capabilities &ndash; partnering with platform team to define requirements, use cases, prioritization of improvements, and long-term product roadmap.</li><li>
Coordinate across key stakeholder groups&mdash;including Business Data Stewards (BDS), Technical/Data Platform teams, and Enterprise Infrastructure partners&mdash;to enable automated lineage, integrate manual lineage, and support end-to-end lineage capabilities.</li><li>
Oversee Data Lineage quality and issue resolution, including performing root-cause analysis, validating logic or mapping changes, and ensuring updates follow required governance and change-control processes.</li><li>
Manage and align diverse team capabilities to meet enterprise Data Lineage policy requirements and support business-specific use cases across multiple lines of business.</li><li>
Enable and maintain Data Management capabilities related to Data Lineage, including formal lineage reviews, routine monitoring, control execution, and documentation of evidence to meet policy and audit expectations.</li><li>
Develop and deliver Data Lineage reporting and visualizations to support business analysis, operational needs, regulatory scrutiny, and audit reviews.</li><li>
Ensure compliance with enterprise data governance policies, including lineage standards, metadata guidelines, and procedural requirements.</li><li>
Support continuous improvement of lineage processes and tooling, identifying enhancements, streamlining workflows, and contributing to the overall maturity of the Data Lineage function.</li></ul>
QUALIFICATIONS 
Required Qualifications:
The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.<ul><li>
Equivalent combination of advanced education and related experience, which could include any combination of: 5-7 years&rsquo; experience managing data stewards, software engineers, data engineers, and/or systems analysts.</li><li>
Ability to translate enterprise level strategic planning information into software and data management needs, create business plans, and turn them into effective business solutions.</li><li>
Excellent communications skills, including, strong negotiation/facilitation/presentation skills and experience negotiating with vendors for relevant products and services.</li><li>
Significant knowledge of current and emerging application software products and tools</li><li>
Extensive project management experience to include multi-million dollar projects completed on time, within budget and delivering quality results</li><li>
Strong analytical and architectural skills</li><li>
Ability to manage a high volume of internal client relationships</li><li>
Knowledge of all phases of software engineering life cycle and experience with process improvement models</li></ul>
Preferred Qualifications:<ul><li>
Bachelor&rsquo;s degree in business analytics, computer science, Information Technology, or a related field.</li><li>
Extensive knowledge of Data and Analytics including emerging trends.</li><li>
Advanced knowledge of one or more Data Lineage tools and metadata platforms, such as Collibra, Informatica EDC, MANTA, Solidatus, MHUB, or equivalent enterprise lineage technologies.</li><li>
Experience with BCBS 239 / RDARR requirements, including effective risk data aggregation, governance, and regulatory risk reporting.</li><li>
Hands-on experience with lineage visualization, reporting, and metadata analytics, including developing dashboards or visual artifacts to support audits, regulators, and business partners.</li><li>
Ability to translate technical lineage concepts into business-friendly language, including story-telling through visualization and documentation.</li><li>
Proficiency with SQL, data modeling, and data flow analysis to interpret and validate end-to-end data movement.</li><li>
Ability to define &amp; prioritize platform enhancements and incremental features &amp; functions required to achieve lineage-related objectives</li><li>
Strong understanding of banking operations, risk management, and regulatory compliance.</li><li>
Excellent leadership, communication, and interpersonal skills.</li><li>
Project management experience and proficiency in managing budgets.</li></ul>
General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist&rsquo;s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist&rsquo;s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.
Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.
EEO is the Law E-Verify IER Right to Work</div>
</div><div></div><div><div>Type<div>
Full-time</div></div></div></div>

Technical Data Steward Manager - Data Lineage

Anblicks

<div>
 
 Strong in SQL, SQL stored procedure scripting, amazing communication skills, able to work independently, and the client wants to interview this candidate.
 
 
 
 
 Education And/or Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Information Systems, or a related field
 </li>
 <li>
 Advanced experience in SQL (e.g., CTEs, joins, text parsing) and experience building database objects (tables, stored procedures, views, Snowflake worksheets/notebooks)
 </li>
 <li>
 2+ years of experience in data governance, data steward, data quality, or a related role
 </li>
 <li>
 4+ years as a data analyst or data engineer, with strong analytical and problem-solving skills
 </li>
 <li>
 Ability to quickly understand complex data relationships and derive actionable insights
 </li>
 <li>
 Proven track record of meeting deadlines and communicating progress effectively
 </li>
 <li>
 Strong collaboration and communication skills to work with technical and non-technical stakeholders
 </li>
 <li>
 Excellent organizational and time management skills
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Strong working experience with healthcare or financial data (e.g., claims, reimbursements)
 </li>
 <li>
 Consulting experience, especially within Healthcare industry is a strong plus
 </li>
 <li>
 Experience with Snowflake cloud data platforms
 </li>
 <li>
 Hands-on experience documenting data governance policies in tools like Atlassian Confluence or Notion.
 </li>
 <li>
 1+ years of experience building reports and dashboards in Power BI, Tableau, Grafana, or similar tools
 </li>
 <li>
 Knowledge of ELT tools (e.g., DBT) and orchestration platforms (e.g., Airflow, Dagster)
 </li>
 </ul>
</div>

SQL Data Engineer

Saher Management Consultancies LLC

<div>
 
 Saher Management is hiring for "Data Governance Administrator".
 
 
 
 
 Location:
 
 Doha, Qatar
 
 
 
 Overview
 
 
 
 Manage and oversee data governance activities, ensuring data quality, compliance, and effective governance policies across the organization. Drive standards, metadata management, and best practices to enable accurate, secure, and actionable data.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Lead data governance programs and initiatives.
 </li>
 <li>
 Define and enforce governance standards, policies, and business rules.
 </li>
 <li>
 Monitor compliance with governance rules and data standards.
 </li>
 <li>
 Act in multiple roles across data management cycles: power user, data custodian, steward.
 </li>
 <li>
 Analyze data anomalies and coordinate with stakeholders for data quality management.
 </li>
 <li>
 Support data classification, metadata management, and glossary development.
 </li>
 <li>
 Educate data users on proper data usage, protection, and governance practices.
 
 
 </li>
 </ul>
 
 Skills &amp; Competencies
 
 
 
 <ul>
 <li>
 Strong knowledge of relational databases and Big Data environments.
 </li>
 <li>
 Analytical thinking and problem-solving in data lifecycle management.
 </li>
 <li>
 Understanding of data protection, security, and compliance policies.
 </li>
 <li>
 Ability to standardize templates for reports, dashboards, and data insights.
 </li>
 <li>
 Effective stakeholder coordination and communication.
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in IT, Computer Science, Business Administration, or related field.
 </li>
 <li>
 10+ years in MDM applications, metadata management, data architecture, data quality, and data lineage.
 
 
 </li>
 </ul>
 
 Tools &amp; Tech
 
 
 
 <ul>
 <li>
 Microsoft Azure ecosystem
 </li>
 <li>
 Data management and metadata tools
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 People management and leadership
 </li>
 <li>
 Achieving results &amp; professional orientation
 </li>
 <li>
 Business thinking &amp; strategic mindset
 
 
 </li>
 </ul>
 #DataGovernance #DataManagement #MDM #MetadataManagement #DataQuality #DataSecurity #DataArchitecture #Analytics #DohaJobs #ITGovernance
 
 
 Skills: metadata management,management,data governance,data management
</div>

Data Governance Administrator

Motion

<div>SUMMARY:
The Product Information Management (PIM) Data Analyst is responsible for managing and enhancing the quality of product data within the organization's PIM system. This role executes a structured approach to the collection, creation, maintenance and distribution of master product data through product information management. This role is responsible for the integrity of the organization's master product data systems.
JOB DUTIES<ul><li>
Creates, inputs, reviews, approves and distributes product master data using various tools and workflows. Works with vendors and third parties to collect and update data.</li><li>
Manages data requests in support of business processes, new product sales initiatives, and mergers and acquisitions.</li><li>
Drives excellence and ensures continuous improvement in quality of data through cleansing and best practices for data construction.</li><li>
Provides input into the development of PIM data collection templates and workflows.</li><li>
Works collaboratively as a data steward within teams to ensure clear understanding of business requirements that are managed in concert with PIM data.</li><li>
Identifies opportunities to gain efficiencies, automate, and improve data quality.</li><li>
Partners with cross functional stakeholders to support business needs.</li><li>
Ensures data output feeds are successful, troubleshooting and/or updating as required.</li><li>
Performs other duties as assigned.</li></ul>
EDUCATION &amp; EXPERIENCE<ul><li>
Typically requires a bachelor's degree in business, operations, marketing or a related field and zero (0) to two (2) years of related experience or an equivalent combination.</li></ul>
KNOWLEDGE, SKILLS, ABILITIES<ul><li>
Ability to work in a team environment.</li><li>
Strong Microsoft Office skills (Word, Excel, PowerPoint, Outlook).</li><li>
Excellent written, verbal, and interpersonal communication skills.</li><li>
Desire to understand how things work and provide ideas for improvement.</li><li>
Strong analytical problem solving skills.</li><li>
Knowledge of workflow management techniques such as Lean Six Sigma, Kanban, etc.</li><li>
Experience with product information management tools (Stibo, Salsify, inRiver, Oracle, etc).</li><li>
Experience with data BI tools (Tableau, Power BI, Qlik, etc.).</li><li>
Positive attitude.</li></ul>
PHYSICAL DEMANDS:
LICENSES &amp; CERTIFICATIONS: None required.
SUPERVISORY RESPONSIBILITY: No Supervisory Responsibility
BUDGET RESPONSIBILITY: No
COMPANY INFORMATION:
Motion Industries offers an excellent benefits package which includes options for healthcare coverage, 401(k), tuition, reimbursement, vacation, sick, and holiday pay
DISCLAIMER:
This job description illustrates the general nature and level of work performed by employees within this job classification. It is not intended to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and skills required. Management retains the right to add or modify duties at any time.
Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest!
GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.</div>

PIM Data Analyst

Pew Research Center

<div>
 
 Position Summary
 
 
 
 Pew Research Center is seeking a Data Archivist to support our commitment to open science and data transparency. This newly created role will play a key part in enhancing the accessibility, usability, and reproducibility of our research data while continuing to protect the privacy and identity of our survey participants.
 
 
 As Data Archivist, you will lead efforts to create and implement best practices for preparing, documenting, and disseminating datasets. These best practices should maximize FAIR (Findable, Accessible, Interoperable, and Reusable) principles while minimizing disclosure risk. You will work across teams to ensure our data is well-organized and thoroughly documented.
 
 
 You will serve as an internal advocate for data users, helping to ensure that our datasets are not only accurate and comprehensive but also easy to discover and reuse by researchers, journalists, and the public.
 
 
 
 This is a full-time, Pew Research Center position. The position is funded by an external grant and limited to a two-year term.
 
 
 
 
 Primary Responsibilities
 
 
 
 <ul>
 <li>
 Develop optimization procedures to improve discoverability of our datasets on internal and external platforms
 </li>
 <li>
 Develop and maintain standards to improve accessibility of our microdata and tab plans by changing/adding formats and/or adding documentation
 </li>
 <li>
 Identify metadata documentation best practices and a process to implement those best practices at the Center
 </li>
 <li>
 Work with Legal to evaluate most appropriate license to publicly share the Center's survey data, including Creative Common options
 </li>
 <li>
 Identify and correct processing inefficiencies in our data publication process
 </li>
 <li>
 Sit on the internal Disclosure Risk Taskforce
 </li>
 <li>
 Document analytical decisions and code to support transparency and replicability, including the development of a RACI chart for publishing code to recreate derived variables that are used in reports but are not included in the microdata
 </li>
 <li>
 Manage/create merged time series datasets for select Center datasets
 </li>
 <li>
 Identify a process for internally archiving data and projects that are no longer in active use
 </li>
 <li>
 Identify and implement a process to assign Digital Object Identifiers (DOI) to microdata
 </li>
 <li>
 Prepare and upload public-facing datasets and restricted-use datasets for external sharing.
 </li>
 <li>
 Train staff on FAIR principles and best practices in data archiving.
 
 
 </li>
 </ul>
 
 Education/Training/Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree required, preferably in library sciences, organizational management, or a related field.
 </li>
 <li>
 5-7 years of experience with data archiving, database management, or survey research. This may include graduate training at the MA/PhD level or equivalent experience in an applied setting.
 </li>
 <li>
 At least 3-5 years of experience applying FAIR and open science principles.
 </li>
 <li>
 Background in social science research or data curation.
 </li>
 <li>
 Experience in data management, archiving, or research support.
 </li>
 <li>
 Familiarity with FAIR principles, Creative Common licensing, data privacy principles, and exposure risk.
 </li>
 <li>
 Proficiency in metadata standards and documentation tools.
 </li>
 <li>
 Experience managing research projects, including working collaboratively with a multidisciplinary team.
 </li>
 <li>
 Experience with statistical software (e.g., R, Python, Stata) and reproducible research workflows.
 
 
 </li>
 </ul>
 
 Knowledge, Skill And Workplace Requirements
 
 
 
 <ul>
 <li>
 Strong organizational and communication skills.
 </li>
 <li>
 Detail oriented with exacting standards to maintain accuracy and impartiality in all work products.
 </li>
 <li>
 Ability to work independently to carry out special projects from start to finish.
 </li>
 <li>
 Ability to balance numerous tasks simultaneously.
 </li>
 <li>
 Ability to work collaboratively and collegially with other team members, as well as with staff from other Pew Research Center teams.
 </li>
 <li>
 Ability to balance competing priorities and identify optimal solutions
 
 
 </li>
 </ul>
 
 FLSA Status: Exempt
 
 
 
 
 Compensation:
 
 Starting salary is commensurate with experience within the range of $100,000 - $120,000.
 
 
 
 Hybrid Work Schedule:
 
 Pew Research Center staff are required to be present in the Center&rsquo;s Washington, D.C., office three core days weekly (Tuesday, Wednesday, Thursday). Staff may work virtually from remote locations on other days in a typical work week.
 
 
 
 Application Procedure:
 
 Click on the Apply button, and complete required fields. Both cover letter and resume are required.
 
 
 When requested, please upload a copy of your resume/cv, as well as a copy of your cover letter in the section labeled Resume/Cover Letter. If the documents have successfully uploaded, you should see 2 attached files beneath the &ldquo;Drop files here&rdquo; box. Please make sure you have uploaded a resume AND a cover letter before moving on to the next page.
 
 
 
 Total Rewards
 
 
 
 In addition to competitive pay, Pew Research Center&rsquo;s employees enjoy a robust total rewards package
 
 
 that includes:
 
 
 <ul>
 <li>
 Affordable, comprehensive health care that includes medical, dental (including adult orthodontia) and vision benefits.
 </li>
 <li>
 Generous paid annual leave plan, including a winter break between Dec. 25 and Jan. 1
 </li>
 <li>
 Employer-paid disability, life insurance and paid family leave plans
 </li>
 <li>
 Up to a 12% employer 401(k) contribution, with vesting at the end of the first year.
 </li>
 <li>
 A 37.5-hour workweek.
 </li>
 <li>
 Health savings or flexible spending account options with employer funding component.
 </li>
 <li>
 Flexibility to telework a portion of each week, with an additional four telework &ldquo;flex weeks&rdquo; each year for most staff.
 
 
 </li>
 </ul>
 
 Eeo
 
 
 
 Pew Research Center makes employment decisions without regard to age, sex, race, ethnicity, religion, disability, marital status, sexual orientation or gender identity, military/veteran status, or any other basis prohibited by applicable law. We encourage applications from candidates who represent a variety of backgrounds, perspectives, and skills.
</div>

Data Archivist

ConsultNet Technology Services and Solutions

<div>
 
 
 Data Governance Analyst (hybrid)
 
 Salt Lake City (hybrid)
 
 Direct Hire
 
 Pay: $100k - $115k
 
 
 Job Description:
 
 
 
 About the Role
 
 
 Our client is seeking a Data Governance Analyst to help prepare organizational data for AI and advanced analytics. This role focuses on building a modern governance program, improving data quality at the source, and partnering across business and technical teams. You will report to the VP of Data and Business Intelligence and play a key role in establishing scalable, high-quality data practices.
 
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Establish and manage data governance policies, standards, and processes
 </li>
 <li>
 Build governance frameworks and actionable roadmaps
 </li>
 <li>
 
 
 Define key data elements and quality rules; monitor and remediate issues
 
 
 </li>
 <li>
 
 
 Partner with system owners to improve upstream data quality and capture
 
 
 </li>
 <li>
 
 
 Maintain a centralized business glossary and metadata
 
 
 </li>
 <li>
 
 
 Use SQL for data profiling, analysis, and anomaly detection
 
 
 </li>
 <li>
 
 
 Ensure compliance with privacy, security, and retention requirements; support audits
 
 
 </li>
 <li>
 
 
 Drive governance adoption through training and change management
 
 
 </li>
 <li>
 
 
 Set AI data readiness standards and guide teams toward compliance
 
 
 </li>
 <li>
 
 
 Report on governance metrics, risks, and progress
 
 
 </li>
 <li>
 
 
 Collaborate cross-functionally to meet regulatory and security requirements
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 <ul>
 <li>
 Bachelor's degree or equivalent experience in a relevant field
 </li>
 <li>
 3-6+ years in data governance, data quality, data management, or related roles
 </li>
 <li>
 Strong SQL skills for data analysis and root-cause identification
 </li>
 <li>
 Understanding of data modeling (normalization/denormalization)
 </li>
 <li>
 Experience implementing data quality rules, metrics, and workflows
 </li>
 <li>
 Familiarity with governance frameworks (e.g., DAMA-DMBOK)
 </li>
 <li>
 Experience with metadata management and business glossaries
 </li>
 <li>
 Ability to improve data capture at the source (validations, reference/master data)
 </li>
 <li>
 Strong communication and cross-functional collaboration skills
 </li>
 </ul>
 
 Preferred
 
 <ul>
 <li>
 Experience with BI tools (e.g., Power BI, Tableau)
 </li>
 <li>
 Familiarity with data catalogs (e.g., Purview, Collibra, Alation)
 </li>
 <li>
 Exposure to MDM, reference data management, and AI/ML readiness
 </li>
 </ul>
 
 What Success Looks Like
 
 <ul>
 <li>
 Established governance framework with clear policies, roles, and roadmap
 </li>
 <li>
 Improved data quality and compliance across systems
 </li>
 <li>
 Embedded governance practices through training and adoption
 </li>
 <li>
 Defined and implemented AI data readiness standards
 </li>
 <li>
 Effective cross-functional alignment on regulatory and data governance priorities
 </li>
 </ul>
 
 
 
 Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid.
 
 
 For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact.
 
 
 Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at
 
 
 
 
 
 www.consultnet.com
 
 
 
 
 
 .
 
 
 
 
 We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.
 
 
 
 &nbsp;
 
</div>

Data Governance Analyst

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