data governance specialist

Müller's Solutions

<div>
 <strong>
  Responsibilities:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and implement data management processes and systems
  </li>
  <li>
   Develop and enforce data governance practices and standards
  </li>
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   Ensure data integrity and quality through data cleansing and validation processes
  </li>
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   Perform data analysis to identify trends, issues, and opportunities for improvement
  </li>
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   Collaborate with technical teams to implement data integration solutions
  </li>
  <li>
   Create and maintain documentation for data management procedures and processes
  </li>
  <li>
   Stay updated with the latest trends and best practices in data management
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Information Technology, or a related field
  </li>
  <li>
   Proven experience as a Data Management Specialist or similar role
  </li>
  <li>
   Strong knowledge of data management principles and methodologies
  </li>
  <li>
   Experience with data governance practices and standards
  </li>
  <li>
   Familiarity with data quality management processes
  </li>
  <li>
   Proficiency in SQL and database development
  </li>
  <li>
   Experience in data integration and ETL processes
  </li>
  <li>
   Knowledge of data analysis and reporting techniques
  </li>
  <li>
   Excellent problem-solving and analytical skills
  </li>
  <li>
   Strong communication and interpersonal abilities
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Benefits
  <br/>
  <br/>
 </strong>
 Why Join Us:
 <br/>
 <br/>
 Opportunity to work with a talented and passionate team.
 <br/>
 <br/>
 Competitive salary and benefits package.
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 <br/>
 Exciting projects and innovative work environment.
</div>


Data Management Specialist

DOHA BANK

<div>
 <p>
  <strong>
   Role Summary
  </strong>
 </p>
 <p>
  The Data Steward is responsible for ensuring the accuracy, integrity, and governance of enterprise data assets by executing data governance policies and managing data quality at an operational level.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This role acts as the primary custodian of data within assigned domains, ensuring data is consistent, compliant, and trusted across business functions, while collaborating closely with the Data Governance Officer and escalating critical risks to senior management.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Act as the primary owner of data quality and data definitions for assigned data domains
  </li>
  <li>
   Execute and enforce enterprise data governance policies in collaboration with the Data Governance Officer
  </li>
  <li>
   Maintain and update business glossaries, data definitions, and data rules in the enterprise data catalog
  </li>
  <li>
   Define, monitor, and validate data quality thresholds and data profiling outputs
  </li>
  <li>
   Investigate data issues, perform root cause analysis, and drive remediation and long-term fixes
  </li>
  <li>
   Ensure alignment between business data logic and technical data lineage across systems
  </li>
  <li>
   Review and enforce compliance with data governance and data handling policies across business units
  </li>
  <li>
   Identify, escalate, and track data risks, systemic issues, and non-compliance for management visibility
  </li>
  <li>
   Manage and approve data access requests in accordance with the principle of least privilege
  </li>
  <li>
   Assess the impact of system, process, or application changes on data quality, integrity, and reporting
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   5+ years of experience in data management
  </li>
  <li>
   2+ years of experience in data governance, preferably within banking or financial services
  </li>
  <li>
   Strong understanding of data quality management, metadata, and governance processes
  </li>
  <li>
   Good understanding of data flows, lineage, and business processes
  </li>
  <li>
   Experience with data cataloging and data quality tools
  </li>
  <li>
   Strong analytical and problem-solving skills, particularly in root cause analysis
  </li>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Data Science, Information Systems, Business Administration, or a related field
  </li>
  <li>
   Data governance certifications (e.g., CDMP, DCAM) are preferred
  </li>
 </ul>
</div>


Data Steward

Markel Corporation

<div><p>What part will you play? If you&rsquo;re looking for a place where you can make a meaningful difference, you&rsquo;ve found it.
</p>The work we do at Markel gives people the confidence to move forward and seize opportunities, and you&rsquo;ll find your fit amongst our global community of optimists and problem-solvers. We&rsquo;re always pushing each other to go further because we believe that when we realize our potential, we can help others reach theirs.&amp;#xa;&amp;#xa;Join us and play your part in something special!&amp;#xa;&amp;#xa;Data Governance (DG) provides enterprise-wide data standards, common vocabulary, and usage standards. It enables Markel to more easily integrate, synchronize and consolidate data from different departments, communicate effectively through shared terms and report formats, and exchange data with other organizations in a common format.
<br>
<br>
Senior Data Governance Analysts (Sr DGA) will lead data governance efforts by partnering with the business to drive the conformance and standardization of data concepts and verify adherence to Markel Data Standards and DG framework. Sr DGA will consult with stakeholders to gather and document requirements for data governance projects helping to establish agreed upon data definitions and consistent data capture across the company. Sr DGA will critically evaluate information gathered from multiple sources working with customers to evaluate whether data conforms to data governance approved mappings or standards. This role will also lead the development, implementation, and delivery of data governance policies and standards and support the data stewards in developing strategic direction and action plans to address data governance issues.
<p></p><p>Data Governance (DG) provides enterprise-wide data standards, common vocabulary, and usage standards. It enables Markel to more easily integrate, synchronize and consolidate data from different departments, communicate effectively through shared terms and report formats, and exchange data with other organizations in a common format. Senior Data Governance Analysts (Sr DGA) will lead data governance efforts by partnering with the business to drive the conformance and standardization of data concepts and verify adherence to Markel Data Standards and DG framework. Sr DGA will consult with stakeholders to gather and document requirements for data governance projects helping to establish agreed upon data definitions and consistent data capture across the company. Sr DGA will critically evaluate information gathered from multiple sources working with customers to evaluate whether data conforms to data governance approved mappings or standards. This role will also lead the development, implementation, and delivery of data governance policies and standards and support the data stewards in developing strategic direction and action plans to address data governance issues.
</p><p>We are seeking a Sr Data Governance Analyst to drive global Data Governance strategic initiatives. The associate's first responsibility will be to offer expertise and insights that help the business enhance its data, leading to improved communication and decision-making. The associate must be self-driven and comfortable navigating new challenges, demonstrate strong organizational skills and an analytical mindset, and understand the Data Governance &amp; Quality discipline. Emphasis will be placed on the ability to engage with business stakeholders, perform root cause assessments on data governance issues, and manage data governance processes and project related tasks to rationalize and conform data concepts.
</p><p>Data is critically important to how we conduct business and must be treated as an asset. The Data Governance and Data Quality teams work in tandem with operations and IT to protect the integrity, accuracy, and completeness of Markel&rsquo;s data. In collaboration with these teams and our business stakeholders, the Sr Data Governance Analyst will lead efforts to support the development of new data concepts and documentation of metadata related to those data concepts to convey important information to the consumers of Data Governance assets.
</p><p></p><p><b>Responsibilities:
</b></p><ul><li><p>Serve as a member of the Data Governance Team in support:
</p><ul><li><p>Execute Data Governance processes to rationalize and conform data concepts and complete related documentation tasks required
</p></li><li><p>Document requirements and source-to-target mapping of Conformed Values
</p></li><li><p>Perform data analysis associated with data governance projects
</p></li><li><p>Design and develop data models, frameworks and other data structures
</p></li><li><p>Educate others on data governance topics
</p></li><li><p>Draft Data Governance Policies/Standards
</p></li><li><p>Facilitate cross-functional/cross&ndash;divisional meetings and drive them to solutions
</p></li></ul></li><li><p>Liaise with key stakeholders across business units to get buy-in on, develop, and implement data strategy and data governance best practices
</p></li><li><p>Driving additional strategic projects as they arise (e.g., Reference Data Management, Master Data Management)
</p></li><li><p>Partnering with other Product Owners, as needed, in the execution of the Strategic Data Program to ensure our Data Governance strategy aligns with program objectives
</p></li></ul><p></p><p><b>Qualifications:
</b></p><ul><li><p>4+ years of relevant experience, using strong business analytics skills and fostering communication interdepartmentally while handing complex projects
</p></li><li><p>Leadership and problem-solving skills
</p></li><li><p>Demonstrated capability to build effective partnerships with internal clients to drive decisions and gain consensus across groups, seniority levels, and interests
</p></li><li><p>Excellent communication skills, both written and verbal, including preparation of executive materials; ability to communicate complex ideas in a simple and logical way
</p></li><li><p>Bachelor&rsquo;s Degree
</p></li></ul><p></p><p>#LI-Hybrid
</p><p>#DEI
</p><p></p><p><b>US Work Authorization
</b></p><p></p><p>US Work Authorization required. Markel does not provide visa sponsorship for this position, now or in the future.
</p><p></p><div><div><p><b>Who we are:
</b></p></div><div><p>Markel Group (NYSE &ndash; MKL) a fortune 500 company with over 60 offices in 20+ countries, is a holding company for insurance, reinsurance, specialist advisory and investment operations around the world.<br>
</p></div><p></p><div><p><b>We&rsquo;re </b><b>all about people | We win together | We strive for better<br>
</b></p></div><p></p><div><p><b>We enjoy the everyday | We think further<br>
</b></p></div><p></p><div><p><b>What&rsquo;s </b><b>in it for you:
</b></p></div><p></p><div><p>In keeping with the values of the Markel Style, we strive to support our employees in living their lives to the fullest at home and at work.
</p></div><div><ul><li><p>We offer competitive benefit programs that help meet our diverse and changing environment as well as support our employees&rsquo; needs at all stages of life.
</p></li></ul></div><div><ul><li><p>All full-time employees have the option to select from multiple health, dental and vision insurance plan options and optional life, disability, and AD&amp;D insurance.
</p></li></ul></div><div><ul><li><p>We also offer a 401(k) with employer match contributions, an Employee Stock Purchase Plan, PTO, corporate holidays and floating holidays, parental leave.<br>
</p></li></ul></div><p></p><div><p><b>Are you ready to play your part?
</b></p></div><p></p><div><p>Choose <b>&lsquo;Apply Now&rsquo; </b>to fill out our short application, so that we can find out more about you.<br>
</p></div></div><p></p><div><div><p><b>Caution: Employment </b><b>scams
</b></p></div><p></p><div><p>Markel is aware of employment-related scams where scammers will impersonate recruiters by sending fake job offers to those actively seeking employment in order to steal personal information. Frequently, the scammer will reach out to individuals who have posted their resume online. These &quot;job offers&quot; include convincing offer letters and frequently ask for confidential personal information. Therefore, for your safety, please note that:
</p></div><div><ul><li><p>All legitimate job postings with Markel will be posted on Markel Careers . No other URL should be trusted for job postings .
</p></li></ul></div><div><ul><li><p>All legitimate communications with Markel recruiters will come from Markel.com email addresses.<br>
</p></li></ul></div><p></p><div><p>We would also ask that you please report any job employment scams related to Markel to rarecruiting@markel.com .<br>
</p></div><p></p><div><p>Markel is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of any protected characteristic. This includes race; color; sex; religion; creed; national origin or place of birth; ancestry; age; disability; affectional or sexual orientation; gender expression or identity; genetic information, sickle cell trait, or atypical hereditary cellular or blood trait; refusal to submit to genetic tests or make genetic test results available; medical condition; citizenship status; pregnancy, childbirth, or related medical conditions; marital status, civil union status, domestic partnership status, familial status, or family responsibilities; military or veteran status, including unfavorable discharge from military service; personal appearance, height, or weight; matriculation or political affiliation; expunged juvenile records; arrest and court records where prohibited by applicable law; status as a victim of domestic or sexual violence; public assistance status; order of protection status; status as a smoker or nonsmoker; membership or activity in local commissions; the use or nonuse of lawful products off employer premises during non-work hours; declining to attend meetings or participate in communications about religious or political matters; or any other classification protected by applicable law.<br>
</p><p></p><p>Should you require any accommodation through the application process, please send an e-mail to the rarecruiting@markel.com .
</p><p></p><p>No agencies please.</p></div></div></div>

Senior Data Governance Analyst

SCAN Health Plan

<div><p>Founded in 1977 as the Senior Care Action Network, SCAN began with a simple but radical idea: that older adults deserve to stay healthy and independent. That belief was championed by a group of community activists we still honor today as the &ldquo;12 Angry Seniors.&rdquo; Their mission continues to guide everything we do.</p><p>
Today, SCAN is a nonprofit health organization serving more than 500,000 people across Arizona, California, Nevada, New Mexico, Texas, and Washington, with over $8 billion in annual revenue. With nearly five decades of experience, we have built a distinctive, values-driven platform dedicated to improving care for older adults.</p><p>
Our work spans Medicare Advantage, fully integrated care models, primary care, care for the most medically and socially complex populations, and next-generation care delivery models. Across all of this, we are united by a shared commitment: combining compassion with discipline, innovation with stewardship, and growth with integrity.</p><p>
At SCAN, we believe scale should strengthen&mdash;not dilute&mdash;our mission. We are building the future of care for older adults, grounded in purpose, accountability, and respect for the people and communities we serve.</p><p></p><p><b>
The Job</b></p><p>
In this role, you will help advance SCAN&rsquo;s AI enablement and enterprise data governance practices. This role is responsible for improving the trust, usability, and business context richness of data that powers AI, analytics, reporting, and operational decision-making.</p><p></p><p>
This role helps build the foundation for enterprise AI by strengthening core knowledge management capabilities via the development, governance, and adoption of enterprise data assets and knowledge structures, including business glossaries, governed metrics, semantic layers, ontologies, knowledge graphs, metadata, lineage, and stewardship practices. You will work closely with data stewards, subject matter experts, platform teams, and executive business leaders to build context, standardize business terminology, improve data quality, and make enterprise data easier for people and AI-enabled tools to understand and use.</p><p></p><p>
This is an essential role as SCAN modernizes its data ecosystem through a modern platform, scalable self-service analytics, and AI-assisted ways of working.</p><p><b><br>
You Will</b></p><ul><li><b>
Enhance SCAN&rsquo;s semantic foundation</b> by developing dimensional models, hierarchies, domain relationships, and governed metrics that enable consistent AI use cases.</li><li><b>
Support ontology and knowledge graph initiatives</b> by identifying key business entities, relationships, synonyms, and domain concepts that improve data connectivity, searchability, and AI comprehension.</li><li><b>
Govern and document data assets</b> across Snowflake, Databricks, and Iceberg environments to ensure structured and semi-structured data is well-described, discoverable, and trusted for analytics and AI workflows.</li><li><b>
Maintain and enrich the enterprise data catalog</b>, documenting metadata, lineage, ownership, usage context, and business meaning for high-value data assets.</li><li><b>
Improve data discoverability and usability</b> through tagging, glossary management, workflow optimization, and metadata quality controls.</li><li><b>
Perform data and metric validation</b> to assess accuracy, completeness, aggregation logic, consistency, and timeliness across data products, including via the use of AI-assisted tools.</li><li><b>
Partner with business stakeholders</b>, data stewards, subject matter experts, analytics teams, and technical teams to execute enterprise data governance and AI-readiness priorities across key domains.</li><li><b>
Investigate data quality issues</b>, conduct root cause analysis, document business impact, and partner with data engineering, analytics, reporting, and business teams to support resolution.</li><li><b>
Participate in Agile ceremonies</b> to ensure governance and AI enablement work is visible, prioritized, and delivered effectively.</li><li><b>
Drive continuous improvement</b> in governance automation, stewardship workflows, reporting certification, and AI-assisted governance capabilities.</li><li>
We seek Rebels who are curious about AI and its power to transform how we operate, improve decision-making, and serve our members.</li><li>
Actively support the achievement of SCAN&rsquo;s Vision and Goals.</li><li>
Other duties as assigned.</li></ul><p></p><p><b>
Your qualifications</b></p><ul><li>
Bachelor's degree in information systems, Data Analytics, Computer Science, Business Administration, Healthcare Administration, Statistics, or a related field; equivalent experience may be considered.</li><li>
3+ years of experience in data engineering, data governance, data management, data quality, analytics, business intelligence, metadata management, knowledge management, or related data-focused role.</li><li>
Experience in the health care industry, especially in areas such as Medicare Advantage, clinical analytics, medical economics, quality, pharmacy, claims, provider, member, or operational data environments, is strongly preferred.</li><li>
Experience with modern knowledge management techniques such as semantic layers, ontologies, knowledge graphs, retrieval-augmented generation, AI-assisted documentation, or metadata-driven discovery preferred.</li><li>
Familiarity with modern warehouse and open Lakehouse concepts, including cloud object storage, open table formats such as Apache Iceberg or Delta Lake, metadata catalogs, data sharing, lineage, and governance of structured and semi-structured data.</li><li>
Familiarity with using AI-assisted tools to improve documentation, analysis, data discovery, metadata quality, and governance workflows.</li><li>
Experience with enterprise data catalog, metadata management, data lineage, business glossary, stewardship, and/or or report certification practices.</li><li>
Experience with BI and reporting platforms such as Power BI, Tableau, SSRS, or similar tools.</li><li>
Experience with CLI tools such as Cortex Code, Claude Code, or similar.</li><li>
Experience working in SAFe Agile or another Agile delivery framework.</li><li>
Preferred certifications include CDMP, DGSP, DCAM, DAMA-related training, Snowflake certification, Microsoft Power BI certification, or relevant Agile/SAFe certifications.</li></ul><p></p><p><b>
Competencies</b></p><ul><li><b>
Knowledge Management Mindset:</b> Helps organize business meaning, definitions, relationships, ownership, and metadata so that enterprise data is easier to find, understand, govern, and reuse.</li><li><b>
Business Partnership:</b> Builds trusted relationships with business and technical stakeholders and translates governance, data quality, and AI-readiness practices into business value.</li><li><b>
Analytical Thinking:</b> Uses structured analysis to evaluate data issues, identify root causes, assess business impact, and improve trust in data used for analytics and AI-enabled capabilities.</li><li><b>
Governance Discipline:</b> Applies consistent standards for definitions, metadata, quality rules, stewardship, lineage, and documentation.</li><li><b>
Communication:</b> Explains complex data concepts clearly to both technical and non-technical audiences.</li><li><b>
Continuous Improvement:</b> Identifies opportunities to improve governance workflows, data usability, automation, AI-assisted documentation and scalable self-service analytics.</li></ul><p></p><p><b>
Skills &amp; Abilities</b></p><ul><li>
Ability to support semantic layer and metrics governance, including standardized definitions, dimensional concepts, hierarchies, measure consistency, and policy adherence.</li><li>
Familiarity with knowledge management concepts such as ontologies, knowledge graphs, taxonomies, and domain models.</li><li>
Ability to translate technical data structures into clear, business-aligned definitions and documentation, especially via data dictionaries, catalog entries, report inventories, data quality findings, and usage context.</li><li>
Strong SQL skills for data profiling, validation, reconciliation, and issue investigation.</li><li>
Familiarity with Snowflake, SQL Server, Power BI, Tableau, SSRS, data catalogs, modern analytics platforms, and open lakehouse concepts such as cloud object storage, open table formats, metadata catalogs, and governed data access.</li><li>
Ability to work effectively across business, analytics, data engineering, platform, stewardship, and leadership teams.</li><li>
Practical understanding of healthcare data domains such as claims, membership, providers, clinical operations, pharmacy, quality, utilization management, or finance preferred.</li><li>
Ability to manage multiple priorities in an Agile environment while maintaining attention to detail.</li><li>
Awareness of emerging automation, AI-assisted documentation, data quality monitoring, semantic search, and governed by self-service analytics capabilities.</li></ul><p></p><p><b>
What's in it for you?</b></p><ul><li><p>
Base Salary Range: $80,300 to $138,330 annually</p></li><li><p>
An annual employee bonus program</p></li><li><p>
Robust Wellness Program</p></li><li><p>
Generous paid-time-off (PTO)</p></li><li><p>
11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days</p></li><li><p>
Excellent 401(k) Retirement Saving Plan with employer match</p></li><li><p>
Robust employee recognition program</p></li><li><p>
Tuition reimbursement</p></li><li><p>
An opportunity to become part of a team that makes a difference to our members and our community every day!</p></li></ul><p></p><p>
We're always looking for talented people to join our team! Qualified applicants are encouraged to apply now!</p><p></p><p>
At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.</p><p></p><p>
SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required.</p><p></p><p>
#LI-JB1 #LI-Hybrid</p><p><b>
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities</b></p><p></p><p><i>
The contractor will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor&rsquo;s legal duty to furnish information. 41 CFR 60-1.35(c)</i></p></div>

Sr. Engineer, Data Governance & AI Enablement

Qiddiya Investment Company

<div><p>The Specialist - Procurement Governance &amp; Reporting plays a critical role in enhancing the transparency and accountability of procurement activities at Qiddiya Investment Company. This position is responsible for establishing and maintaining governance frameworks that align with organizational policies and regulatory requirements. Additionally, the Specialist will develop and manage reporting systems to ensure effective monitoring of procurement performance and compliance.</p><p><b>
Key Responsibilities:</b></p><p><b>
1. Governance Framework Development:</b></p><ul><li>Design, implement, and maintain governance policies and procedures related to procurement activities.</li><li>Ensure alignment of procurement processes with local regulations, internal standards, and best practices.</li></ul><p><b>
2. Reporting and Analytics:</b></p><ul><li>Develop and manage procurement reporting tools and dashboards to facilitate data-driven decision-making.</li><li>Prepare and present regular reports on procurement performance metrics, compliance, and risk assessments to senior management.</li><li>Analyze procurement data to identify trends, inefficiencies, and opportunities for continuous improvement.</li></ul><p><b>
3. Compliance Monitoring:</b></p><ul><li>Assist in the auditing of procurement processes to ensure adherence to established governance frameworks and compliance with legal standards.</li><li>Support the identification and mitigation of procurement-related risks throughout the procurement lifecycle.</li></ul><p><b>
4. Stakeholder Engagement:</b></p><ul><li>Collaborate with cross-functional teams to promote a culture of governance and compliance within procurement.</li><li>Facilitate training and workshops for procurement staff on governance policies and reporting requirements.</li></ul><b><br>
Requirements</b><ul><li><br>
Bachelor&rsquo;s degree in Business Administration, Supply Chain Management, Finance, or a related field.</li><li>At least 3 years of experience in procurement governance, compliance, or reporting within a large organization.</li><li>Strong analytical and reporting skills, with proficiency in data analytics tools and Excel.</li><li>Familiarity with procurement regulations and best practices in Saudi Arabia.</li><li>Excellent communication skills, both verbal and written, to effectively engage with stakeholders at all levels.</li><li>Detail-oriented and organized with the ability to manage multiple tasks and projects simultaneously.</li><li>Proficiency in Arabic is a plus.</li></ul><b><br>
Benefits</b><br>
<ul><li>
Contribute to one of Saudi Arabia&rsquo;s most ambitious giga-projects.
</li><li>Work in a high-impact environment where strategic sourcing and execution matter.
</li><li>Collaborate with top global firms in design, development, and supply chain.
</li><li>Drive procurement excellence that shapes world-class destinations.</li></ul></div>

Procurement Governance & Reporting

Vertiv

<div><p>At Vertiv, we design, manufacture, and service critical digital infrastructure technologies that keep the connected world running 24/7. Our portfolio spans power management, thermal management, and IT infrastructure solutions, complemented by a global network of service centers worldwide. We enable the world's vital applications &mdash; from data centers to communication networks to commercial and industrial environments &mdash; to continuously run.
</p><p>The Global Operations Data &amp; Analytics Specialist is the central data integration point that links regional teams to a unified global reporting architecture. This role enables executive decision-making by consolidating inventory, and operational performance data across 30+ manufacturing plants and 5 regions into actionable intelligence.
</p><p>Reporting to the VP, Operations Strategy &amp; Governance, this individual serves as the primary business analyst for the Global Operations team owning the data backbone that powers the Global Operations Scorecard, and governance reporting. The role is critical to Vertiv's and the broader digitalization roadmap including AI tools deployment.
</p>KEY RESPONSIBILITIES 1. Global Operations Scorecard &amp; KPI Governance
<ul><li>Own the data integrity, accuracy, and timeliness of the Global Operations Scorecard across all metric categories:
<ul><li><b>Safety: </b>TRR, Corrective Action Closure, Monthly Training
</li><li><b>Quality: </b>Customer Claims, First Pass Yield (FPY)
</li><li><b>Delivery: </b>OTIF-R, PDSL, RDSL
</li><li><b>Inventory: </b>DIO, Cycle Count Accuracy
</li><li><b>Cost: </b>Hourly Rate, Productivity, Efficiency
</li><li><b>Supplier: </b>Supplier PDSL, Supplier RDSL
</li><li><b>Sustainability: </b>Energy Use, Water Use, Tons of Waste
</li><li><b>People: </b>Salary Turnover, Time to Fill, OOE
</li></ul></li><li>Ensure KPIs are calculated per standardized global formulas, reported monthly (or quarterly where specified), and shared with the business in a regular, timely fashion
</li><li>Drive data governance standards including master data management, data dictionary maintenance, and regional data quality audits
</li><li>Develop and maintain comprehensive dashboards (Power BI) providing insights into operational performance against 2025&ndash;2027 targets
</li></ul>2. Business Analysis &amp; Cross-Functional Support
<ul><li>Collaborate with Offering Management, Sales Operations, Engineering, Manufacturing, Finance, and Procurement to compile reporting that supports key global decisions
</li><li>Perform data analysis: collect, analyze, and interpret data from various sources to identify trends, patterns, and opportunities for improvement in global operations
</li><li>Evaluate existing business processes and recommend data-driven enhancements to improve efficiency, reduce costs, and increase productivity
</li></ul>3. Data Architecture &amp; Continuous Improvement
<ul><li>Own the construction, maintenance, and governance of global operations data files and reporting infrastructure
</li><li>Coordinate with IT on data integration across multiple ERP systems (Oracle) to drive integrated business planning
</li><li>Support AI/ML pilot initiatives to enhance data accuracy, scenario modeling, and predictive analytics
</li><li>Guide daily operations decision-makers by providing real-time, accurate information sourced from operational databases
</li><li>Create an environment of continuous improvement with emphasis on personal ownership and data quality culture
</li></ul>ACCOUNTABILITIES
<ul><li><b>Accuracy: </b>All reports from Global Operational Governance teams meet standards for accuracy, timeliness, and quality of design to drive meaningful decisions
</li><li><b>Timeliness: </b>Monthly scorecard published within 10 business days of period close
</li><li><b>Governance: </b>100% of global KPIs calculated per standardized formulas with documented data lineage
</li><li><b>Stakeholder Support: </b>Effective preparation and support of Global Operations Governance Leader in running meetings and executive reviews
</li><li><b>Standardization: </b>Regional data collection processes harmonized to global standards across all 5 regions
</li></ul>QUALIFICATIONS Minimum Requirements
<ul><li>Bachelor's Degree in Computer Science, Engineering, Data Science, Supply Chain Management, or related technical field
</li><li>Minimum 5 years' experience building data management, analytics, and reporting solutions &mdash; preferably in Supply Chain, Manufacturing Operations, Sales Operations, or Strategic Sourcing
</li><li><b>SQL proficiency </b>(intermediate to advanced) for sourcing and transforming data from enterprise databases
</li><li><b>Microsoft Power BI </b>expertise &mdash; building dashboards, data models, DAX measures, and Power Query transformations
</li><li>Working knowledge of <b>Oracle ERP </b>(order processing, inventory management, material planning modules)
</li><li>Strong communication skills with ability to translate complex data into executive-ready insights
</li><li>Ability to collaborate cross-functionally and cross-culturally across a global matrixed organization
</li><li>Self-directed with ability to manage multiple priorities and meet tight deadlines independently
</li><li>Familiarity with <b>AI analytics
</b></li><li>Experience with Smartsheet for project tracking and collaboration
</li><li>Experience in organizations with $5B+ revenue and 30+ manufacturing sites</li></ul></div>

Global Operations Data Analytics

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>TCS Hyderabad Hiring for Customer Data Specialist</div><br>
<div><br>
</div><div>Role: Customer Data Specialist
</div><div>Experience: 2-8 Years
</div><div>Job Location: Mumbai</div><br>
<div><br>
</div><div>Eligibility:
</div><ul><li> Minimum 15 years of regular, full-time education (10 + 2 + 3)
</li></ul><ul><li> Should be okay working in Rotational &amp; Flexible Shift
</li></ul><div>Required Skills
</div><div>Must-Have
</div><ul><li> Experience in transportation planning &amp; execution, warehouse coordination, and shipment lifecycle tracking
</li></ul><ul><li> Ability to reconcile shipment records (dispatch vs. receipt, freight bills vs. contracted rates) and resolve discrepancies
</li></ul><ul><li> Hands‑on usage of ERP/TMS/WMS (e.g., SAP S/4, SAP TM/EWM, Oracle, Manhattan); familiarity with Ariba/e‑invoicing portals for vendor communications
</li></ul><div>Good-to-Have
</div><ul><li> Experience in Logistics, inventory principles &amp; master data governance.
</li></ul><div>Required Technical Skill Set
</div><ul><li> SMAX Configuration &amp; Operations: Service contract, part, technician &amp; stocking location setup; scheduled and unscheduled WO creation.
</li></ul><ul><li> SAP Functional Knowledge: Customer master and technician setup; Installed Base (IB) lifecycle management; SAP&ndash;SMAX location integration.
</li></ul><ul><li> Service Operations: ATP validation, SW version update coordination, and SAP&ndash;SMAX data synchronization.
</li></ul><div>Key Responsibilities
</div><ul><li> Configure and maintain SMAX Service Contracts, Parts, Technicians, and Stocking Locations.
</li></ul><ul><li> Perform SAP Customer Setup, Technician Setup, and master data maintenance activities.
</li></ul><ul><li> Manage Installed Base (IB) creation, updates, and Decommissioning (Decom) in SAP and SMAX.
</li></ul><ul><li> Execute Scheduled and Unscheduled Work Order (WO) creation in SMAX as per service requirements.
</li></ul><ul><li> Handle Customer Master Change Requests and ensure data accuracy between SAP and SMAX.
</li></ul><ul><li> Perform New IB setup along with SAP/SMAX location configuration.
</li></ul><ul><li> Conduct ATP (Available-to-Promise) checks to support service and parts availability.
</li></ul><ul><li> Manage SW version updates and related system configuration changes.
</li></ul><ul><li> Ensure accuracy and governance of SMAX part setup and service-related master data.
</li></ul><ul><li> Own and ensure end-to-end accuracy of service master data across SAP and SMAX.
</li></ul><ul><li> Act as a key operational support for service contracts, Installed Base, and work order management.
</li></ul><ul><li> Ensure seamless SAP&ndash;SMAX integration for customers, technicians, locations, and parts.
</li></ul><ul><li> Proactively identify and address gaps in service setup, parts readiness, and system configuration.
</li></ul><ul><li> Support continuous improvement through process standardization, system enhancements, and data audits.
</li></ul><ul><li> Organize timely meetings with carriers, warehouses, and customer teams for issue resolution and performance reviews.
</li></ul><ul><li> Hands-on experience with ERP/TMS/WMS systems (SAP S/4, SAP TM/EWM, Ariba, or similar tools) for logistics and inventory transactions.
</li></ul><ul><li> Support continuous improvement initiatives in logistics and inventory processes; update SOPs and training documents.
</li></ul><ul><li> Willingness to work in US shift timings
</li></ul></div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>BUSINESS PROCESS SERVICES</div>
</div><div><div><b>Role</b></div>
<div>Support Executive</div>
</div><div><div><b>Job Id</b></div>
<div>413962</div>
</div><div><div><b>Desired Skills</b></div>
<div>Master Data Management</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMMERCE</div></div></div><div></div>

Customer Data Specialist

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