data management lead

PROZ TECHNOLOGIES

<p>Hello,<br/>Greetings from Proztec Qatar! I hope everything is going well with you.</p><p>We are thrilled to extend multiple exciting job opportunities, and currently, we are hiring for the role of <b>Data Lead </b> with one of our prestigious clients in Qatar. Below, you will find details of the role, key responsibilities, and requirements.</p><p><b>JOB OVERVIEW</b></p><p><b>JOB TITLE : Data Lead</b></p><p><b>LOCATION : </b> Doha, Qatar</p><p><b>GENERAL JOB DESCRIPTION</b></p><p>&middot; Lead TASMU Platform&rsquo;s Data Governance, Data Management and Data acquisition and Data ingestion functions</p><p>&middot; Manage, protect and analyze the data collected and generated by the organization</p><p>&middot; COordinate the Data Team to ensure the respect of the data privacy &amp; security standards</p><p><b>DUTIES &amp; RESPONSIBILITIES</b></p><p>&middot; Oversee the collection, management, and storage of data across TASMU Platform</p><p>&middot; Set the overall data management and governance strategy of every channel</p><p>&middot; Define the data acquisition strategy making sure that data is sanitized, elaborated and packaged in order to maximize its utilization.</p><p>&middot; Ensure data escalation, resolution, integration &amp; development in compliance with the data privacy &amp; security standards</p><p>&middot; Coordinate and manage a team of data architects, data engineers and data scientists (internal) teams to promote the power of data in TASMU Platform (external)</p><p>&middot; Take responsibility for the data integration corresponding to customer onboarding and for creating data sharing agreements with the potential customers</p><p>&middot; Drive project and operational decisions related to data - along with OC leadership, TASMU platform team, service providers and sectors within the Smart Qatar ecosystem</p><p>&middot; Participate and take an active role in Smart Qatar data governance forums and committees</p><p>&middot; Drive the ongoing evolution of the TASMU data architecture and data management capabilities throughout the entire products/smart solutions lifecycle in any channel of the Platform</p><p><b>SKILLS &amp; ABILITIES</b></p><p>&middot; Experience in the field of data governance, enterprise data management, business intelligence and advanced analytics preferably in the ICT sector or Smart City/Platform-driven projects</p><p>&middot; Ability to outline clear directives to a team of data experts in a collaborative manner</p><p>&middot; Proven track record of ensuring a sstrategic and business-oriented perspective of data management and monetisation</p><p>&middot; Technical brainpower to assess and review data management capabilities</p><p>&middot; Proven leadership and execution experience in large programs with multiple stakeholders</p><p>&middot; Expertise in big data engineering, cloud data platform (preferably Azure), ML/AI concepts and techniques, data architecture and data governance domains (MDM, Data quality, data security, data integration etc.)</p><p>If you are interested and ready to proceed, kindly share your CV in Word format along with the following details:</p><p>Name:</p><p>Nationality:</p><p>Total Experience:</p><p>Relevant Experience:</p><p>Current Location:</p><p>Visa Status:</p><p>Current Salary:</p><p>Expected Salary:</p><p>Notice Period:</p><p>About Proztec:<br/>Proz Technologies (PROZTEC) is a leading ICT specialist firm based in Doha, Qatar (a tax-free country) with over 300 employees. We look forward to the possibility of welcoming you to our growing team.</p><p>Thanks &amp; regards,<br/>Syeda Humera<br/>Recruitment Consultant<br/>Proz Technologies<br/>M: 974-70955929<br/>P: 974-4442-0050 Ext: 109<br/>www.proztec.com</p><p>Job Type: Permanent</p><p>Pay: QAR15,000.00 - QAR20,000.00 per month</p>

Data Lead

Al Adyat consultancy

<p><b>Job Overview:</b></p><p>The Data Warehouse Expert will lead the data management, integration, governance, and operations workstreams of the Plant Data Management (PDM) project &ndash; a strategic &ldquo;Smart Plant&rdquo; initiative to create a single source of truth for all critical engineering and production data. This senior role requires a seasoned professional with at least 10 years of experience in data management in the oil &amp; gas industry. A strong background in Microsoft data warehousing technologies and an understanding of plant operational processes are essential for success</p><p><b>Key Responsibilities:</b></p><ul><li>Evaluate the PDM project infrastructure-related components of bidder proposals, ensuring alignment architecture, data standards, &amp; operational requirements.</li><li>Lead the implementation of single source of truth, focusing on MS technologies including Azure, Microsoft 365, MSSQL, &amp; Power Platform in collaboration with implementation partners.</li><li>Collaborate with the solution enterprise architect to make sure the data warehouse design aligns with the overall solution architecture and IT infrastructure.</li><li>Lead the central repository architecture for integrated data from multiple sources (e.g. SAP, real-time systems, spreadsheets) in line with the PDM project requirements</li><li>Define the data models (schemas, tables, cubes) and storage strategy (on-premises MS SQL Server with potential hybrid cloud) to support reporting and analytics.</li><li>Ensure the configuration of ETL/ELT pipelines (using Microsoft <b>SSIS</b> or Azure Data Factory) to extract data from source systems, transform it, and load it into the warehouse.</li><li>Establish a robust data governance framework within the PDM scope, defining data ownership for different data domains (ensuring business stakeholders are identified as data owners), set up data stewardship roles if needed, and enforce policies for data usage, retention, and lifecycle management.</li><li>Enforce compliance with the company&rsquo;s cybersecurity and data privacy policies</li><li>Work to achieve high availability of the data platform. Implement redundancy and failover mechanisms as appropriate (clustering, backups, mirrored databases, etc.). Ensure disaster recovery plans are in place</li><li>Develop and implement data governance policies, standards, and procedures.</li><li>Collaborate with data owners and stewards to define data definitions, classifications, and quality rules.</li><li>Monitor data quality metrics and lead initiatives to resolve data issues.</li><li>Ensure compliance with data privacy regulations (e.g., GDPR, HIPAA) and internal policies.</li><li>&sect; Maintain data catalogs, metadata repositories, and data lineage documentation.</li><li>Support data governance tools and platforms, ensuring proper configuration and usage.</li><li>Conduct training and awareness programs to promote data governance best practices.</li><li>Design and implement frameworks that enable secure, self-service access to data across departments.</li><li>Promote data literacy by developing training materials and conducting workshops on data usage and governance.</li><li>Support the deployment and adoption of data catalog and self-service BI tools.</li><li>Define and manage role-based access controls to balance data accessibility with security.</li><li>Act as a liaison between IT, data teams, and business stakeholders to and ensure relevant data is discoverable and usable.</li><li>Participate in data governance councils and cross-functional working groups, to align data strategy with business goals.</li><li>Provide guidance on data stewardship responsibilities and best practices.</li></ul><p><b>Required Qualifications:</b></p><p><b>Educational Background:</b></p><ul><li>Bachelor&rsquo;s degree in Information Management, Computer Science, Business, or a related field.</li><li>3+ years of experience in data governance, data management, or a related discipline.</li><li>Strong understanding of data governance frameworks.</li><li>Familiarity with data privacy laws and regulatory requirements.</li><li>Experience with data governance.</li><li>Excellent communication, collaboration, and problem-solving skills.</li><li>Ability to work independently and manage multiple priorities in a fast-paced environment.</li></ul><p><b>Expected Experience</b></p><ul><li>10+ years of experience in data management roles, including data warehouse development, system integration, and IT project management.</li><li>5+ Experience must be in the oil &amp; gas industry, dealing with industrial or enterprise data.</li></ul><p><b>Technical Skills</b></p><ul><li>Deep expertise in Microsoft Data Warehouse technologies &ndash; MS SQL Server, SQL Server Integration Services (SSIS) for ETL, SQL Server Analysis Services (SSAS) for OLAP, and SQL querying/tuning</li><li>Strong knowledge of relational and dimensional data modeling. Ability to design normalized schemas for staging and integration, as well as star/snowflake schemas for analytics.</li><li>Experience with handling large datasets (hundreds of gigabytes to terabytes) efficiently (partitioning, indexing strategies, etc.)</li><li>Hands-on experience integrating multiple systems and platforms Microsoft BizTalk, SAP, &amp; SharePoint online.</li><li>Experience implementing data governance policies and using tools for data quality and metadata management</li><li>Proficient in project management practices</li><li>Certified Data Management Professional (CDMP)</li><li>Data Governance and Stewardship Professional (DGSP)</li><li>Certified Information Privacy Professional (CIPP)</li></ul><p><b>Soft Skills:</b></p><ul><li>Excellent analytical and research skills.</li><li>Strong communication skills to collaborate with cross-functional teams.</li><li>Strong presentation skills</li></ul><p>Job Type: Full-time</p><p>Pay: From QAR15,000.00 per month</p><p>Education:</p><ul><li>Bachelor's (Required)</li></ul><p>Experience:</p><ul><li>Data Warehouse : 3 years (Required)</li></ul><p>Language:</p><ul><li>Arabic  (Required)</li><li>English  (Required)</li></ul><p>License/Certification:</p><ul><li>degree in Information Management, Computer Science (Required)</li></ul><p>Location:</p><ul><li>Doha (Required)</li></ul>

Data Warehouse Expert

Medical Solutions

<div>Overview:
<div><b>
Lead, Enterprise Data Management Analyst &ndash; Job Description</b></div><div>
Our team is currently looking for a Lead, Enterprise Data Management Analyst who is passionate about executing on a collaborative, agile and modern data governance program for the enterprise. You should have a passion to improve business insights and analytical value from our data through thoughtful application of data management.</div><div><br>
</div><div>You will be leading the design of and delivery of master data management, data quality, and metadata management processes, standards, capabilities, and solutions that enable and promote the use of self-service analytics across the enterprise. Your mission will be to bring people across the organization together around the shared purpose of leveraging meaningful, trusted data. Through a consultative approach, you will be a trusted partner throughout the enterprise to advise on improving outcomes with trusted data.</div><div></div><div><br>
We value open and honest communication, and we strive to create a positive and fun team-based environment. We want teammates that challenge themselves, as well as those around them to create high quality analytical products and services.</div>
Responsibilities:
<ul><li>Lead execution of key data governance processes including the following: critical data asset identification, data cataloging, and monitoring</li><li>
Lead efforts to implement and maintain master data across the enterprise</li><li>
Lead and drive the data governance and management community outreach, evangelism, and training across the Analytics CoE and enterprise as well as hosting community events on data governance related topics</li><li>
Acts as a servant leader who guides the team to reach their goals</li><li>
Plan capacity at a team level</li><li>
Coordinates cross team dependencies</li><li>
Works with Product Owners/ Program Manager to prioritize and estimate effort</li><li>
Prioritizes testing within the team to ensure a high level of data and analytics quality</li><li>
Understanding of performance and scalability concerns and query plan analysis
</li><li>Participates in identifying new capabilities and new design patterns</li><li>
Leads the team on gathering requirements for data governance initiatives and projects</li><li>
Partners with the business data stewards during project delivery and on an ongoing basis</li><li>
Advocate for participation from business areas in data governance activities</li><li>
Designs and develops agile solutions to measure data quality and data governance effectiveness and summarizes and presents this in an effective manner to stakeholders and data governance forums</li><li>
Identify, assess, monitor, document, and communicate potential quality issues in the way data is collected, stored, processed, or used</li><li>
Lead problem solver for the team</li><li>
Participates in architectural design discussions</li><li>
Mentors less experienced Data Governance Analysts</li><li>
Stay up to date on data governance trends and employ industry (and company) best practices</li><li>
Be a resource to teammates and the organization as a subject matter expert in data governance and data management</li><li>
Facilitate the definition of business KPIs and be a change agent where standardization needs to occur</li><li>
Agent for change to improve business and IT processes</li><li>
Has a strong understanding of specific areas of the business that the team supports</li><li>
Enforces industry and company best practices within the team</li></ul>
Qualifications:
<ul><li>Bachelor&rsquo;s degree in Computer Science, Management Information Systems, Data Analytics, or related field or equivalent work experience</li><li>
7+ years of experience working in data management and data governance roles</li><li>
Strong experience with various MDM methodologies and tooling, data catalogs, and data quality tooling with modern cloud approaches (Azure preferred)</li><li>
Experience working with relational database systems</li><li>
Advanced knowledge and practice of SQL
</li><li>Working knowledge of data visualization tools, with preference to PowerBI</li><li>
Working knowledge of data preparation and data transformation (for BI/analytics) approaches</li><li>
Experience with Microsoft Office Suite</li><li>
Strong customer service skills</li><li>
Strong planning and management skills</li><li>
Critical thinker and analytical</li><li>
Demonstrated problem solving techniques</li><li>
Strong verbal and written communication skills</li></ul><div></div><div><b><br>
Preferences:</b></div><ul><li>
Experience with Master Data Management and Data Quality platform Reltio</li><li>
Vendor tool evaluation and selection experience.</li><li>
Familiarity with architecture tools like LeanIX</li></ul><p>
#LI-AN1</p>
Pay Range: USD $130,000.00 - USD $160,000.00 /Yr.</div>

Lead, Enterprise Data Management Analyst

Masafi

<div>
 <p>
  <strong>
   Our time to make ripples.
  </strong>
 </p>
 <p>
  We are for the restless achievers. For those who thirst for success and more. For those who never stop trying. We are Masafi. And if you have what it takes, we are ready to take the next step with you.
 </p>
 <p>
  <strong>
   Things we believe in:
  </strong>
 </p>
 <p>
  <strong>
   <em>
    Inclusivity &amp; diversity
   </em>
  </strong>
 </p>
 <p>
  We are an equal opportunity employer, and we believe diversity, gender balance and inclusion lead to success.
 </p>
 <p>
  <strong>
   <em>
    Our people
   </em>
  </strong>
 </p>
 <p>
  We believe passionate people propel us forward, build our culture and drive our spirit of innovation.
 </p>
 <p>
  <strong>
   <em>
    Hard work, integrity &amp; ownership
   </em>
  </strong>
 </p>
 <p>
  We believe hard work trumps everything. And honesty and taking total responsibility are the pillars of everything we do.
 </p>
 <p>
  <strong>
   A glimpse of your typical workday
  </strong>
 </p>
 <p>
  The Data Manager will play a strategic and leadership role in establishing trusted, governed, and business-ready data across the Hattan Group. The role is responsible for building a single source of truth, improving data quality across operational systems, and enabling accurate reporting, analytics, and data-driven decision-making.
 </p>
 <p>
  This role will also prepare the organization for future adoption of Machine Learning (ML) and Artificial Intelligence (AI), enabling operational efficiency, customer insights, and enhanced digital experiences across all brands and business units.
 </p>
 <p>
  The Data Manager will work across business and technology teams to establish a strong data culture, governance framework, and scalable data architecture aligned with enterprise strategy.
 </p>
 <p>
  <em>
   Data Governance &amp; Ownership
  </em>
 </p>
 <ul>
  <li>
   Define, implement, and maintain enterprise data governance framework across the organization.
  </li>
  <li>
   Establish clear data ownership and stewardship across business domains and legal entities.
  </li>
  <li>
   Define and enforce data policies, standards, naming conventions, and business definitions.
  </li>
  <li>
   Maintain governance artefacts, standards, and documentation in GDT SharePoint and knowledge repositories.
  </li>
 </ul>
 <p>
  <em>
   Data Architecture &amp; Platform Strategy
  </em>
 </p>
 <ul>
  <li>
   Own and design end-to-end data architecture covering operational systems, integration layers, data platforms, and analytics environments.
  </li>
  <li>
   Design and manage centralized data repository and enterprise analytics platforms.
  </li>
  <li>
   Work closely with Enterprise Solution Architect to ensure alignment with enterprise architecture standards.
  </li>
  <li>
   Lead adoption and optimization of modern data platforms including Microsoft ecosystem technologies such as:
  </li>
 </ul>
 <p>
  <em>
   Analytics &amp; Reporting Enablement
  </em>
 </p>
 <ul>
  <li>
   Deliver enterprise reporting and analytics capabilities supporting leadership and business operations.
  </li>
  <li>
   Standardize dashboards, KPIs, and reporting frameworks across brands and business units.
  </li>
  <li>
   Enable self-service analytics capabilities while maintaining governance and data consistency.
  </li>
  <li>
   Partner with Digital and Business teams to deliver actionable insights and performance analytics.
  </li>
 </ul>
 <p>
  Business &amp; Cross-Technology Collaboration
 </p>
 <ul>
  <li>
   Partner with Enterprise Applications, Digital, Infrastructure, and Security teams to ensure alignment of data requirements.
  </li>
  <li>
   Work closely with business stakeholders to understand data needs and priorities initiatives.
  </li>
  <li>
   Translate business requirements into scalable and sustainable data solutions.
  </li>
  <li>
   Security, Privacy &amp; Compliance
  </li>
  <li>
   Ensure data management practices comply with regulatory, privacy, and internal security policies.
  </li>
 </ul>
 <p>
  <strong>
   What makes you stand out
  </strong>
 </p>
 <ul>
  <li>
   Minimum 10+ years of experience in data management, data architecture, or enterprise analytics roles.
  </li>
  <li>
   Proven experience implementing enterprise data governance frameworks.
  </li>
  <li>
   Experience designing and delivering end-to-end enterprise data platforms.
  </li>
  <li>
   Hands-on experience with Microsoft data ecosystem preferred (Fabric, Azure Data Services, Dataverse, Power BI).
  </li>
  <li>
   Experience working within ERP and enterprise application environments (Oracle, D365, or equivalent).
  </li>
  <li>
   Experience supporting multi-brand, multi-entity, or distributed business environments is highly desirable.
  </li>
  <li>
   Experience preparing organizations for advanced analytics, ML, or AI adoption is preferred.
  </li>
 </ul>
 <p>
  <strong>
   The joys:
  </strong>
 </p>
 <p>
  <strong>
   <em>
    Workspace:
   </em>
  </strong>
  We mix work and play with an exclusive gym and an inspiration zone filled with indoor games, library, bean bags and of course, piping hot coffee.
 </p>
 <p>
  <strong>
   <em>
    Game-changing leadership:
   </em>
  </strong>
  We mentor and hone future leaders through agile, dynamic and people-focused training.
 </p>
 <p>
  <strong>
   <em>
    Enriching rewards:
   </em>
  </strong>
  Besides bench-marking industry remuneration, we offer medical benefits and discounts on all Masafi products.
 </p>
 <p>
  <strong>
   <em>
    Focus on wellness:
   </em>
  </strong>
  <em>
  </em>
  We not only insist on a great work-life balance but also accompany it with a lovely wellness program.
 </p>
 <p>
  <strong>
   Our story
  </strong>
 </p>
 <p>
  Masafi was born in the Hajar Mountains in the United Arab Emirates. And ever since, we&rsquo;ve left a mark across the region and the world.
 </p>
 <p>
  Back in 1976, Masafi was the first naturally sourced drinking water in the UAE. Today, our portfolio consists of the finest range of pure naturally sourced water, juices, tissue papers and anti-bacterial essentials.
 </p>
 <p>
  While we have been the market leader for over 4 decades, we never take anything for granted. Every day, we work harder to deliver the finest products that are good for people and the planet too.
 </p>
 <p>
  We are an equal opportunity employer. Inclusivity, diversity and gender balance are the cornerstones of our business just like, wellness, mindfulness and a healthy work-life balance.
 </p>
 <p>
  Interested in growing your career with us? Take a look at some of our current openings. We can&rsquo;t wait to hear from you.
 </p>
</div>


Data Manager

Starlink Qatar

<div>
 <p>
  The
  <strong>
   Data Governance &amp; Privacy Lead
  </strong>
  defines and drives the governance framework for data used by smart-city capabilities (including Cognitive AI). The role establishes standards for
  <strong>
   data classification, privacy-by-design, consent, retention, lineage, and controlled sharing
  </strong>
  across multi-tenant environments and multiple vendors. Working with stakeholders, security teams, and delivery vendors, the lead ensures that
  <strong>
   data products and AI pipelines comply with applicable regulations and policies
  </strong>
  , and that governance is operationalized through tooling, processes, and automated controls embedded into platform onboarding and service delivery.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Define
   <strong>
    data governance operating model
   </strong>
   : roles (data owners/stewards), RACI, councils, and approval workflows.
  </li>
  <li>
   Establish standards for
   <strong>
    data classification, residency, retention, legal holds, and secure disposal
   </strong>
   across tenants.
  </li>
  <li>
   Define
   <strong>
    privacy-by-design requirements
   </strong>
   : consent management, purpose limitation, minimization, and data access controls.
  </li>
  <li>
   Drive
   <strong>
    data cataloging and metadata management
   </strong>
   (ownership, descriptions, schemas, sensitivity labels, quality scores).
  </li>
  <li>
   Define
   <strong>
    lineage and provenance requirements
   </strong>
   for data pipelines and AI artifacts (datasets, labels, embeddings, vector indexes).
  </li>
  <li>
   Specify
   <strong>
    DLP and egress control requirements
   </strong>
   for storage, APIs, and AI/RAG workflows; coordinate with Cybersecurity Architect.
  </li>
  <li>
   Define
   <strong>
    data-sharing policies and contracts
   </strong>
   (inter-agency sharing, vendor access boundaries, anonymization/masking rules).
  </li>
  <li>
   Establish
   <strong>
    data quality framework
   </strong>
   : validations, monitoring, SLA/KPIs, issue management, and remediation processes.
  </li>
  <li>
   Provide
   <strong>
    governance assurance for vendor deliverables
   </strong>
   (design reviews, acceptance criteria, compliance evidence packs).
  </li>
  <li>
   Enable
   <strong>
    operations
   </strong>
   : governance dashboards, audit reporting, periodic access reviews, and training for data owners/stewards.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills &amp; Abilities
  </strong>
 </p>
 <ul>
  <li>
   Strong knowledge of
   <strong>
    data governance, privacy, and compliance practices
   </strong>
   in regulated environments.
  </li>
  <li>
   Ability to
   <strong>
    operationalize governance
   </strong>
   through processes and automated technical controls (policy-as-code mindset).
  </li>
  <li>
   Understanding of
   <strong>
    modern data platforms
   </strong>
   (lakehouse, streaming, catalog/lineage) and
   <strong>
    AI data lifecycle
   </strong>
   (RAG/embeddings).
  </li>
  <li>
   Excellent
   <strong>
    stakeholder management
   </strong>
   across legal, security, business owners, and vendor teams.
  </li>
  <li>
   Strong
   <strong>
    documentation, control definition, and audit-readiness skills
   </strong>
   .
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in
   <strong>
    Computer Science, Information Technology, Cybersecurity
   </strong>
   ; Master&rsquo;s degree highly preferred.
  </li>
  <li>
   <strong>
    7+ years
   </strong>
   in data governance, privacy, compliance, or data management roles (government/telco preferred).
  </li>
  <li>
   Experience implementing
   <strong>
    data catalog/lineage tools
   </strong>
   and defining enterprise-wide data standards and policies.
  </li>
  <li>
   Experience with
   <strong>
    privacy controls
   </strong>
   (consent, RTBF/DSR processes, anonymization/masking, retention schedules).
  </li>
  <li>
   Background working with
   <strong>
    delivery vendors
   </strong>
   and integrating governance into program delivery and acceptance gates.
  </li>
  <li>
   Familiarity with
   <strong>
    AI data governance concepts
   </strong>
   (dataset/model cards, provenance, RAG content governance).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Tools
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Data governance/catalog:
   </strong>
   Microsoft Purview (or equivalent), data classification/labeling tools
  </li>
  <li>
   <strong>
    Data protection:
   </strong>
   DLP tooling, encryption/CMK/HSM, key management (Key Vault/KMS)
  </li>
  <li>
   <strong>
    Data platforms:
   </strong>
   lakehouse (Delta/Iceberg), streaming (Kafka/Event Hubs), SQL/ETL orchestration (Airflow)
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Soft Skills
  </strong>
 </p>
 <ul>
  <li>
   Strong
   <strong>
    facilitation and consensus-building
   </strong>
   (data councils, policy workshops)
  </li>
  <li>
   Ability to
   <strong>
    translate legal/privacy requirements into actionable technical controls
   </strong>
  </li>
  <li>
   High
   <strong>
    attention to detail
   </strong>
   with pragmatic prioritization
  </li>
  <li>
   Confidence to
   <strong>
    challenge non-compliant designs
   </strong>
   and drive remediation
  </li>
  <li>
   Effective
   <strong>
    communication and training approach
   </strong>
   for non-technical stakeholders
  </li>
 </ul>
</div>


Data Governance & Privacy Lead

ERCOT/Electric Reliability Council of Texas

<div><div><div>At ERCOT, our diverse and dynamic work environment provides a platform on which employees can work together to build the future of the Texas power grid and wholesale market utilizing the latest technologies and resources. We encourage you to join our talented, dedicated workforce to develop world-class solutions for today and tomorrow&rsquo;s energy challenges while learning new skills and growing your career.</div><div></div><div>
ERCOT is committed to fostering inclusion at all levels of our company. It is the cornerstone of our corporate values of accountability, leadership, innovation, trust, and expertise. We know that individuals with a wide variety of talents, ideas, and experiences propel the innovation that drives our success. An inclusive and diverse workforce strengthens us and allows for a collaborative environment to solve the challenges that face our industry today and in the future.</div></div><div></div><div>
JOB SUMMARY</div><div>
The Test Environment &amp; Data Lead is accountable for the governance, stability, and continuous improvement of all non-production test environments to ensure secure, compliant, and release-ready systems.</div><div></div><div>
This role oversees end-to-end environment lifecycle management, including configuration control, test data governance, environmental use and data refreshes. The lead ensures alignment with Quality Assurance and Release &amp; Change Management standards to minimize operational, product, and data-related risks.</div><div></div><div>
In addition, this role is responsible for maintaining data integrity and consistency across environments by coordinating controlled test data refresh cycles, validating post-migration data accuracy, and ensuring compliance with data privacy, security, and regulatory requirements. Close collaboration with Database, Infrastructure, and Security teams is required to ensure environments are production-representative, audit-ready, and optimized for consistent, reliable, and predictable testing outcomes.</div><div></div><div>
The Environment &amp; Test Data lead serves as a critical quality and data control point, safeguarding both system stability and data accuracy across the non-production landscape.</div><div></div><div>
JOB DUTIES</div><ul><li>
Broadly applies principles, theories and concepts related to the profession. A seasoned, experienced professional with an in-depth/full understanding of area of specialization.</li><li>
May provide recommendations regarding issues outside the bounds of defined procedures and practices. Demonstrates good judgment in selecting methods and techniques for obtaining solutions.</li><li>
Wide latitude for decisions within assignments, programs and projects; impact is generally limited to the project or department.</li><li>
Acts as a resource to advise and may at times lead the work of lower level professional and/or support employees. Generally represents the department on projects and may perform in a project leadership role.</li></ul><div></div><div>
ADDITIONAL JOB DUTIES</div><ul><li>
Own lifecycle management of Test and Pre-Prod environments</li><li>
Maintain environment configuration baselines and version inventory</li><li>
Ensure environment readiness before test cycles</li><li>
Coordinate provisioning, upgrades, and patching with platform teams</li><li>
Monitor environment stability, availability, and performance</li><li>
Manage environment scheduling and conflict resolution</li><li>
Prevent version drift between QA and Production</li><li>
This position will be responsible for executing on the QA Test Data Management strategy and roadmap</li><li>
This person will work closely with Release Management, the PMO, Application Services, and other IT areas in design and implementation of an enterprise test data repository to be used as source of test data for application development testing</li><li>
This position will also be responsible for planning, scheduling and communicating test system refreshes, time-sliced data refreshes, on-demand test data requests and coordinating with appropriate IT areas for corresponding virtual test environments as needed</li><li>
This position requires a highly motivated individual who will leverage his/her technical and business expertise to help ensure test data and test environment objectives, goals and requirements are delivered according to stakeholder expectations</li><li>
The individual must be able to work independently and communicate with all levels of management in a timely and accurate manner</li><li>
Responsible for defining the test data management architecture and tool strategies</li><li>
Responsible for delivery, process implementation and oversight of a newly formed Test Data Management service within the QA and Test Management Department</li><li>
Manage and establish service levels for the TDM shared service, including transparency through reporting and valuation of service</li><li>
Coordinate work of highly decentralized business application teams while implementing demand management operating models that proactively sources and manages test data on multiple concurrent projects</li><li>
Implement methodologies for automated test data generation, test reusability and data privacy</li><li>
Responsible for building and maintaining a central repository of test data and test environment models across multiple lines of business</li><li>
Responsible for defining and implementing the scope of a releases test environment and test data needs</li><li>
Accountable for the maintenance and implementation of the policy framework for ERCOT&rsquo;s Test Data and Environment capabilities</li><li>
Responsible for developing process of maintaining gold copy of test data sets for programs, projects and releases</li><li>
Accountable for department operating procedures, processes and adherence to corporate standards</li><li>
 Accountable for communication with stakeholders and management</li><li>
Accountable for adherence to audit and compliance standards regarding QA practices</li><li>
Accountable for identifying and implementing process improvements in alignment with ERCOT&rsquo;s testing framework</li><li>
Manage, mentor and coach staff on test data and test environment principles and practices</li><li>
Develop and publish KPIs to communicate delivery practices for test data and test environments</li><li>
Responsible for maintaining knowledge of emerging trends and industry best practices</li><li>
Ability to support multiple streams of projects of varying complexity</li><li>
Ability to create and meet timelines cognizant of business needs and constraints</li><li>
Strong leadership, communication, negotiation, and conflict management skills</li><li>
Highly self-motivated, driven work ethic, keen attention to detail and exceptional customer service orientation</li><li>
Ability to communicate highly technical information in an understandable manner to non-technical audiences through writing and presentations</li></ul><div></div><div>
EXPERIENCE</div><ul><li>
Requires minimum 8+ years in IT operations, QA operations, or release management.</li><li>
3+ years managing non-production environments and test data.</li><li>
Experience in system design, programming and troubleshooting with relational databases (e.g., Oracle and SQL Server)</li><li>
Experience with version control, deployments, and migration governance.</li><li>
Strong understanding of SDLC, STLC, and change management.</li><li>
Experience in cloud or hybrid environments.</li><li>
Demonstrated project management experience managing implementations of new enterprise-wide technology initiatives</li><li>
Experience with service virtualization technologies</li><li>
Proven track record of effectively working in a highly collaborative environment</li><li>
Detailed work experience and knowledge of application integration of DevOp and QA tools used for provisioning test data and test environments</li><li>
Familiarity with AI-based environment monitoring or anomaly detection.</li><li>
Experience leveraging automation for deployment validation.</li><li>
Understanding predictive analytics for environment capacity or failure detection.</li><li>
Exposure to synthetic test data generation tools (preferred).</li></ul><div></div><div>
Technical Skills</div><ul><li>
CI/CD tools (Azure DevOps, Jenkins, GitHub, etc.)</li><li>
Infrastructure as Code (Terraform, ARM, etc.)</li><li>
Monitoring/observability platforms (Splunk, Dynatrace)</li><li>
Management tools (ServiceNow, JIRA , Qtest, etc.)</li><li>
Other tools (Ansible, Rubric, AppSync)</li></ul><div></div><div>
EDUCATION</div><div>
Bachelor's Degree: Computer Science, MIS or related field (Required) or a combination of education and experience that provides equivalent knowledge to a major in such fields is required</div><div></div><div>
ERCOT is firmly committed to equal employment for all qualified persons without regard to race, sex, medical condition, religion, age, creed, national origin, citizenship status, marital status, sexual orientation, physical or mental disability, ancestry, veteran status, genetic information or any other protected category under federal, state or local law.</div><div></div><div>
Expected Salary Range:</div>
$122,262 - $207,828</div>

QA Environment & Data Lead

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  Job Description:
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  <strong>
   Job Description:
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   Lead and support data governance initiatives, ensuring alignment with enterprise data strategy and regulatory compliance.
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   Act as a trusted advisor to business and IT stakeholders, providing guidance on governance frameworks, policies, and best practices.
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   Gather, analyze, and document business requirements for data governance, data cataloging, data quality, and metadata management programs.
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   Collaborate with data stewards, data owners, and technical teams to define roles, responsibilities, and workflows for governance processes.
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   Drive adoption and change management for governance tools and practices across business units.
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   Support implementation and configuration of data governance platforms (e.g., Informatica Axon/EDC, Collibra, Alation).
  </li>
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   Define data quality rules, metrics, and dashboards; facilitate remediation of data issues.
  </li>
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   Develop and maintain governance artifacts such as data dictionaries, lineage documentation, and stewardship workflows.
  </li>
  <li>
   Conduct stakeholder workshops, training sessions, and awareness programs to promote governance maturity.
  </li>
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   Provide insights and recommendations for improving governance processes and operational efficiency.
  </li>
  <li>
   Track program KPIs, prepare status reports, and escalate risks to leadership as needed.
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   Stay informed on industry trends, emerging technologies, and regulatory changes impacting data governance.
  </li>
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   Skills Required
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   Strong understanding of Data Governance principles, frameworks, and regulatory compliance requirements.
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   Knowledge of data quality concepts, profiling techniques, and remediation processes.
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   Familiarity with data lineage, classification, and stewardship models.
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  <li>
   Excellent business analysis skills: requirements gathering, stakeholder engagement, and documentation.
  </li>
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   Ability to translate business needs into technical specifications for governance tools and workflows.
  </li>
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   Strong communication, facilitation, and presentation skills for cross-functional collaboration.
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   Analytical mindset with problem-solving skills and attention to detail.
  </li>
  <li>
   Exposure to data architecture, data modeling, and enterprise data strategies.
  </li>
  <li>
   Conceptual understanding and hands-on experience of using data cataloging and metadata management tools (e.g., Informatica EDC/Axon, Collibra, Alation).
  </li>
  <li>
   Experience with reporting and visualization tools for tracking governance KPIs (e.g. Excel, Power BI, Tableau).
  </li>
  <li>
   Experience in consultative roles, providing strategic recommendations and influencing senior stakeholders.
  </li>
  <li>
   12-20 years of overall IT experience in Data &amp; Analytics with 8-10 years specifically working on multi-year/E2E/greenfield Data Management (Data Governance, Metadata Management &amp; Cataloging, Data Quality, Master/Reference Data Management) programs &amp; rollouts.
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  <li>
   Excellent verbal and written communication skill.
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   Highly Desired secondary skill: Experience as a Scrum Master/Project Manager/Program Manager managing Data Governance projects/workstreams, with knowledge of Agile and hybrid delivery models, project planning, tracking &amp; reporting, risks issues dependencies management, stakeholder management.
  </li>
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   Highly Desired secondary skill: Experience of working with middle-east customers and regulations like NDMO, NDI, PDPL.
  </li>
  <li>
   Highly Desired secondary skill: Experience of Data Privacy regulations and project rollouts.
  </li>
 </ul>
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 </p>
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Data Governance Consultant

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