data management lead

Envision Employment Solutions

Envision Employment Solutions is currently looking for a Data Management Lead for one of our partners, a global leader in the IT Services and IT Consulting.
<br><br>
<b>Job Summary:</b><br>
A Data Management Lead role is a cornerstone to the success of the data management team; he is the person with the most seniority in the team and he works closely with all team members. He helps the team to understand and execute their job effectively. He builds the team, mentors and guides them to the successful delivery of the assigned tasks.
<br><br>
<b>Responsibilities:</b><br>
<ul>
<li>Lead the technical design and delivery of enterprise-grade data integration and DWH solutions.</li>
<li>Serve as the solution architect on data platform initiatives, ensuring scalable and maintainable architecture using Microsoft technologies.</li>
<li>Drive the data modeling process for both transactional and analytical systems, including star/snowflake schemas, normalization, and performance optimization.</li>
<li>Collaborate with business analysts, data scientists, and stakeholders to understand data requirements and translate them into robust technical solutions.</li>
<li>Oversee and mentor a team of developers and data engineers throughout the SDLC.</li>
<li>Conduct code reviews, enforce data governance policies, and ensure best practices are followed.</li>
<li>Present technical solutions and project updates to executive stakeholders, communicating clearly across technical and non-technical audiences.</li>
<li>Stay current with advancements in cloud data platforms and recommend continuous improvement opportunities.</li>
</ul>
<b>Requirements:</b><br>
<ul>
<li>Bachelors or Masters degree in Computer Science, Information Systems, or a related field.</li>
<li>6+ years of experience in data integration and data management roles.</li>
<li>Expertise in data warehouse design and dimensional modeling.</li>
<li>Strong understanding of ETL/ELT frameworks, data pipelines, and data quality principles.</li>
<li>Solid understanding of solution architecture in cloud and hybrid environments.</li>
<li>Excellent presentation and communication skills able to deliver impactful presentations and clearly articulate complex concepts.</li>
</ul>


Data Management Lead

Macquarie Group

<div><div><div><div><div><div><div><div><div><div><div>Macquarie Asset Management (MAM) is a global asset manager, delivering innovative investment solutions across public and private markets with a strong focus on private markets and alternatives. We have an exciting opportunity to join our team that is committed to leveraging advanced technology and AI to achieve quality outcomes for clients while driving positive impact in the communities we serve.</div></div><br>
</div></div><div><div><div>At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You&rsquo;ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.</div>
</div></div></div></div></div><div><div><div><div>What role will you play?</div></div><div><br>
</div></div><div><div><div><div><div><div>In this role, you will drive strategy, implementation, and stewardship of master data across asset management and private markets. You will establish a single source of truth for key data entities, ensuring quality, consistency, compliance, and operational efficiency. Additionally, you will collaborate with business, technology, and operations to deliver scalable and automated data management solutions.</div></div><br>
</div></div></div></div></div><div><div><div><div>What you offer</div></div><div><br>
</div></div><div><div><div><div><div><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in IT, Computer Science, Data Management, or a related field</li><li>
15+ years&rsquo; experience in master data management, data governance, or data architecture, ideally within asset management or financial services
</li><li>Strong knowledge of MDM principles, data modeling, integration, and regulatory requirements
</li><li>Hands-on experience with MDM tools, especially in private markets
</li>Excellent leadership, stakeholder management, and communication skills; experience with cloud-native technologies and agile methods is highly desirable<br>
<li>
</li></ul></div></div></div><div></div><br>
<div><div><div>We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.</div>
</div></div></div></div></div><div><div><div><div>What we offer</div></div><div><br>
</div></div><div><div><div><div><p>At Macquarie, you&rsquo;re empowered to shape a career that&rsquo;s rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:</p><br>
<ul><li>
1 wellbeing leave day per year</li><li>
26 weeks&rsquo; paid maternity leave or 20 weeks&rsquo; paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks&rsquo; paid leave for secondary caregivers</li><li>
Company-subsidised childcare services</li><li>
2 days of paid volunteer leave and donation matching</li><li>
Benefits to support your physical, mental and financial wellbeing including comprehensive medical and life insurance cover, the option to join parental medical insurance plan and virtual medical consultations extended to family members</li><li>
Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services</li><li>
Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription</li><li>
Hybrid and flexible working arrangements, dependent on role</li><li>
Reimbursement for work from home equipment</li></ul>
</div></div></div></div></div><div><div><div><div>About Technology</div></div><div><br>
</div></div><div><div><div><div><div>Technology enables every aspect of Macquarie, for our people, our customers and our communities. We&rsquo;re a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrow&rsquo;s technology solutions.</div>
</div></div></div></div></div><div><div><div><div>Our commitment to diversity, equity and inclusion</div></div><div><br>
</div></div><div><div><div><div><div>We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process.<div><div><br>
Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.</div></div></div></div></div></div></div></div></div></div></div></div>

Master Data Management Lead

Tata Consultancy Services (TCS)

<div></div><div><div><div><div>Job Role: Test Data Management Lead<br>
Experience Range: 8 to 12 years<br>
Location: Hyderabad, Bangalore, Chennai<br>
Job Description<br>
<p>8+ years of Test Data management experience on tools like Informatica, Delphix, Broadcom etc</p>
<ul><li>Good understanding of data masking/scrubbing/obfuscation techniques</li></ul>
<ul><li>CA TDM and Broadcom TDM (Informatica , Data masking, integration)</li></ul>
<ul><li>Ability to write queries/macros/scripts using tools like SQL, VB, QTP, Selenium and XML</li></ul>
<ul><li>Good understanding of various database technologies (DB2, Teradata, Oracle 10g/11g, SQL server, Big data/Hadoop)</li></ul>
<ul><li>Automate test data refresh and creation processes.</li></ul>
<p>
- Automation experience using Selenium, Excel Macros or similar tools -Proficient in MS Word, Excel, Outlook and PowerPoint.</p><br>
</div></div></div><div><div><div><b>Location</b></div>
<div>Hyderabad</div>
</div><div><div><b>Job Function</b></div>
<div>IT INFRASTRUCTURE SERVICES</div>
</div><div><div><b>Role</b></div>
<div>Lead</div>
</div><div><div><b>Job Id</b></div>
<div>376884</div>
</div><div><div><b>Desired Skills</b></div>
<div>Delphi | Informatica | JMETER | Selenium | Test Automation</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : Undergraduate</div></div></div><div></div>

Test Data Management

Antons

<b>Key Responsibilities</b> 
<ul>
<li>
<p> <b>Catalog Implementation</b>: Lead the design, configuration, and implementation of <b>Databricks Unity Catalog</b> to support enterprise-wide data management and governance.</p>
</li>
<li>
<p> <b>Governance &amp; Compliance</b>: Ensure adherence to <b>data governance frameworks</b> and compliance standards.</p>
</li>
<li>
<p> <b>Metadata &amp; Lineage</b>: Establish robust <b>metadata management, lineage tracking, classification, and business glossary practices</b>.</p>
</li>
<li>
<p> <b>Integration</b>: Integrate the data catalog with <b>ETL/ELT pipelines, BI tools, and data platforms</b> to enable seamless data discovery and accessibility.</p>
</li>
<li>
<p> <b>Tooling &amp; Platforms</b>: Drive adoption of governance tools.</p>
</li>
<li>
<p> <b>Best Practices</b>: Define and enforce <b>cataloging, metadata, and governance standards</b>, promoting data ownership and stewardship across the organization.</p>
</li>
<li>
<p> <b>Collaboration</b>: Partner with engineering, analytics, and compliance teams to embed governance into data pipelines and business processes.</p>
</li>
</ul>
 <b>Key Skills &amp; Experience</b> 
<ul>
<li>
<p> <b>6+ years</b> of experience in <b>Data Management, Data Governance, or Metadata Management</b>.</p>
</li>
<li>
<p> <b>Mandatory</b>: Hands-on experience with <b>Databricks Unity Catalog</b>.</p>
</li>
<li>
<p>Strong knowledge of <b>data governance frameworks</b>.</p>
</li>
<li>
<p>Expertise in <b>metadata standards, data lineage, classification, and glossary management</b>.</p>
</li>
<li>
<p>Experience with <b>ETL/ELT integration</b> and connecting catalogs to <b>BI tools</b>.</p>
</li>
<li>
<p>Familiarity with <b>data governance platforms</b>.</p>
</li>
<li>
<p>Strong understanding of <b>data privacy and compliance regulations</b>.</p>
</li>
<li>
<p>Excellent communication, stakeholder management, and leadership skills.</p>
</li>
</ul>

Data Catalog Lead

KAUST (King Abdullah University of Science and Technology)

<div>
 <p>
  <strong>
   Job Purpose
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Data Repository Lead will lead the development, launch, management and expansion of KAUST&rsquo;s institutional data repository and its associated services, a core component of the University&rsquo;s research data management ecosystem. The role ensures trustworthy stewardship and discoverability of research data by implementing workflows for deposit, curation, metadata quality, persistent identifiers (e.g., DOIs for datasets, ORCID iDs for contributors), access control (including internal research data asset cataloging and embargoes), and long-term preservation.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Lead consults widely with researchers across the university to identify and prioritize their needs and partners with IT, Core Labs, Research Compliance, and other university stakeholders to integrate systems and automate pipelines that support funder/publisher compliance, ethical and legal requirements, and the FAIR principles. Success will be demonstrated through service reliability, growth in high-quality deposits and demonstrable reuse, researcher satisfaction, and alignment with KAUST&rsquo;s RDM policy, international standards, and community best practices.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Major Accountabilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Work closely with the library manager to develop direction for KAUST&rsquo;s institutional data repository, in consultation with KAUST researchers and other university stakeholders, and in alignment with KAUST strategy and policies.
  </li>
  <li>
   Develop and implement guidelines and procedures for internal research data asset cataloging, public release of eligible datasets, metadata review, removal, retention, and dataset versioning.
  </li>
  <li>
   Work with external vendors and internal partners to evaluate and implement suitable systems.
  </li>
  <li>
   Connect the data repository with single sign on, storage platforms, instruments/Core Labs data pipelines, data management planning tools, publications repositories and current research information systems, persistent identifier services (DataCite and ORCID), and other relevant system APIs for metadata synchronization and reporting.
  </li>
  <li>
   Regularly consult with researchers to identify their needs and tailor services to their requirements.
  </li>
  <li>
   Deliver training and support for researchers and coordinate improved data management planning and the application of the FAIR principles with research data stewards and champions to increase the long-term value derived from research data assets.
  </li>
  <li>
   Ensure repository services comply with KAUST policies, funder/publisher requirements, and legal/ethical standards.
  </li>
  <li>
   Promote discovery and interoperability by establishing robust links between data, related publications, and research software/code.
  </li>
  <li>
   Monitor service health (uptime/fixity, number and quality of deposits, curation process times, storage use) and impact (downloads/citations, user satisfaction) through dashboards and regular reports.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Competencies
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required:
  </strong>
 </p>
 <ul>
  <li>
   Demonstrated expertise with at least one major institutional data repository or research data platform (Invenio, Figshare, Dataverse or comparable).
  </li>
  <li>
   Demonstrated proficiency and familiarity with current issues in research data management, including FAIR principles, metadata standards, persistent identifiers (DOIs, ORCID iDs), longterm preservation, and compliance with legal/ethical/publisher/funder requirements.
  </li>
  <li>
   Experience developing and implementing workflows for data deposit, curation, metadata quality control, versioning, access control, and embargo management.
  </li>
  <li>
   Strong project management skills with the ability to manage multiple projects concurrently, set and meet deadlines, and adapt to evolving priorities and technologies.
  </li>
  <li>
   Demonstrated ability to deliver training, guidance, and outreach, and to promote good research data management practices among faculty, researchers, students, and staff.
  </li>
  <li>
   Excellent communication and collaboration skills, with experience working effectively across diverse academic populations and with external vendors/partners.
  </li>
  <li>
   A strong user focus and service orientation, with excellent analytical, interpersonal, and problem-solving skills, and the ability to embrace innovation and continuous improvement.
  </li>
 </ul>
 <p>
  <strong>
   Preferred:
  </strong>
 </p>
 <ul>
  <li>
   Experience integrating data repository platforms with research management systems, lab data pipelines, researcher workflows and storage platforms.
  </li>
  <li>
   Familiarity with international best practices and emerging trends in research reproducibility, intellectual property laws (including data licensing), and academic research evaluation practices.
  </li>
  <li>
   Familiarity with APIs, scripting, or automation for metadata synchronization, reporting, and system interoperability.
  </li>
  <li>
   Experience monitoring service performance through dashboards and analytics.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Required: Master&rsquo;s degree in library science, information science, data science, a data intensive scientific discipline relevant to research done at KAUST, or equivalent education and experience.
  </li>
  <li>
   Preferred: PhD or equivalent advanced degree in a relevant field.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   A minimum of 5 years of experience in Research Data Management, Research Data Repositories, or Related Research Data Stewardship or Data Management Planning.
  </li>
 </ul>
 <p>
 </p>
</div>


Data Respository Lead

King Abdullah University of Science and Technology

<div></div><div><p><b>Date: </b>Oct 29, 2025
</p><p><b>Location:</b> Saudi Arabia
</p><p><b>Company: </b>King Abdullah University of Science &amp; Technology
</p><div><div><div><div><div><p><b>Job Purpose</b></p></div></div><p></p><div><div><br>
<p>
The Data Repository Lead will lead the development, launch, management and expansion of KAUST&rsquo;s institutional data repository and its associated services, a core component of the University&rsquo;s research data management ecosystem. The role ensures trustworthy stewardship and discoverability of research data by implementing workflows for deposit, curation, metadata quality, persistent identifiers (e.g., DOIs for datasets, ORCID iDs for contributors), access control (including internal research data asset cataloging and embargoes), and long-term preservation.</p><br>
<p></p>
<p>
The Lead consults widely with researchers across the university to identify and prioritize their needs and partners with IT, Core Labs, Research Compliance, and other university stakeholders to integrate systems and automate pipelines that support funder/publisher compliance, ethical and legal requirements, and the FAIR principles. Success will be demonstrated through service reliability, growth in high-quality deposits and demonstrable reuse, researcher satisfaction, and alignment with KAUST&rsquo;s RDM policy, international standards, and community best practices.</p><br>
<p></p>
</div>
</div><br>
</div></div><div></div><div><div><div><div><p><b>Major Accountabilities</b></p></div></div><p></p><div><div><br>
<ul>
<li>Work closely with the library manager to develop direction for KAUST&rsquo;s institutional data repository, in consultation with KAUST researchers and other university stakeholders, and in alignment with KAUST strategy and policies.
</li><li>Develop and implement guidelines and procedures for internal research data asset cataloging, public release of eligible datasets, metadata review, removal, retention, and dataset versioning.
</li><li>Work with external vendors and internal partners to evaluate and implement suitable systems.
</li><li>Connect the data repository with single sign on, storage platforms, instruments/Core Labs data pipelines, data management planning tools, publications repositories and current research information systems, persistent identifier services (DataCite and ORCID), and other relevant system APIs for metadata synchronization and reporting.
</li><li>Regularly consult with researchers to identify their needs and tailor services to their requirements.
</li><li>Deliver training and support for researchers and coordinate improved data management planning and the application of the FAIR principles with research data stewards and champions to increase the long-term value derived from research data assets.
</li><li>Ensure repository services comply with KAUST policies, funder/publisher requirements, and legal/ethical standards.
</li><li>Promote discovery and interoperability by establishing robust links between data, related publications, and research software/code.</li>
<li>Monitor service health (uptime/fixity, number and quality of deposits, curation process times, storage use) and impact (downloads/citations, user satisfaction) through dashboards and regular reports.</li></ul></div></div><div></div><div><br>
<div>
<p><b>Competencies</b></p></div></div><div></div><div><div><br>
<p><b>
Required:
</b></p><ul><li>Demonstrated expertise with at least one major institutional data repository or research data platform (Invenio, Figshare, Dataverse or comparable).
</li><li>Demonstrated proficiency and familiarity with current issues in research data management, including FAIR principles, metadata standards, persistent identifiers (DOIs, ORCID iDs), longterm preservation, and compliance with legal/ethical/publisher/funder requirements.
</li><li>Experience developing and implementing workflows for data deposit, curation, metadata quality control, versioning, access control, and embargo management.
</li><li>Strong project management skills with the ability to manage multiple projects concurrently, set and meet deadlines, and adapt to evolving priorities and technologies.
</li><li>Demonstrated ability to deliver training, guidance, and outreach, and to promote good research data management practices among faculty, researchers, students, and staff.
</li><li>Excellent communication and collaboration skills, with experience working effectively across diverse academic populations and with external vendors/partners.
</li><li>A strong user focus and service orientation, with excellent analytical, interpersonal, and problem-solving skills, and the ability to embrace innovation and continuous improvement.
</li></ul><p><b>Preferred:
</b></p><ul><li>Experience integrating data repository platforms with research management systems, lab data pipelines, researcher workflows and storage platforms.
</li><li>Familiarity with international best practices and emerging trends in research reproducibility, intellectual property laws (including data licensing), and academic research evaluation practices.
</li><li>Familiarity with APIs, scripting, or automation for metadata synchronization, reporting, and system interoperability.
</li><li>Experience monitoring service performance through dashboards and analytics.</li></ul><div><br>
</div></div></div><br>
<div><div><p><b>Qualifications</b></p></div></div><div></div><div><div><br>
<ul>
<li>Required: Master&rsquo;s degree in library science, information science, data science, a data intensive scientific discipline relevant to research done at KAUST, or equivalent education and experience.
 </li>Preferred: PhD or equivalent advanced degree in a relevant field.<br>
<li>
</li></ul></div></div><br>
<div><div><div><b>Experience</b></div></div></div><div></div><div><div><br>
<ul>
<li>Minimum 5-7 years of experience in research data management, research data repositories, or related research data stewardship or data management planning work.</li></ul></div></div></div></div></div></div><div></div>

Data Repository Lead

Avaloq

<div><b>Company Description</b><p><br>
Founded and headquartered in Switzerland, Avaloq is continuously expanding its global footprint with around 2,500 colleagues in 12 countries, and more than 160 clients in 35 countries. We are an industry-leading provider of wealth management technology and services for financial institutions around the world, including private banks and wealth managers, investment managers, as well as retail and neo banks. Our research led approach and continual innovation is powered by the passion and creativity of our colleagues.<br>
We are always looking for talented people to join us on our mission to orchestrate the financial ecosystem and democratize access to wealth management. Avaloq offers the opportunity to work closely with some of the world&rsquo;s leading financial institutions as we jointly develop and shape careers. Championing a collaborative, supportive and flexible work environment empowers our colleagues to reach their full potential.</p><p>
You will be part of the Data team at Avaloq which is responsible for end-to-end data management, reporting, analytics, ML modeling, and AI operationalization.</p><b><br>
Job Description</b><p><br>
The Senior Data Steward is responsible for ensuring the quality, integrity, and compliance of organizational data assets. This role works closely with Data Protection Officers (DPOs) to align data governance practices with privacy and security requirements, ensuring sensitive and regulated data is managed responsibly across all business functions. Experience with Microsoft Purview for data governance and compliance is highly desirable.</p><p><b>
Your Key Tasks:</b></p><ul><li>
Data Governance &amp; Compliance</li><li>
Define and enforce enterprise-wide data governance policies and standards.</li><li>
Collaborate with DPOs to ensure compliance with global and local data privacy regulations (e.g., GDPR, CCPA, EU laws).</li><li>
Utilize Microsoft Purview to implement governance, classification, and compliance controls.</li><li>
Data Quality Management</li><li>
Lead initiatives to monitor, improve, and maintain data accuracy, completeness, and consistency.</li><li>
Establish KPIs and dashboards for governance and compliance performance.</li><li>
Privacy &amp; Security Alignment</li><li>
Implement privacy-by-design principles in data processes.</li><li>
Ensure proper handling of sensitive data, including encryption, anonymization, and retention policies.</li><li>
Metadata &amp; Documentation</li><li>
Maintain data dictionaries, glossaries, and metadata repositories.</li><li>
Document data lineage and ownership for critical data elements.</li><li>
Cross-Functional Collaboration</li><li>
Partner with data architects, engineers, and business stakeholders to align data definitions and usage.</li><li>
Provide training and mentorship on governance and privacy best practices.</li><li>
Risk &amp; Audit Support</li><li>
Support internal audits and regulatory inspections with accurate documentation.</li><li>
Identify and mitigate data-related risks in collaboration with compliance teams.</li></ul><br>
<b>
Qualifications</b><p><b><br>
What you need:</b></p><p>
Education:</p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Data Management, Information Systems, Computer Science, or related field.</li></ul><p>
Experience:</p><ul><li>
Must have at least four years of extensive experience in data governance, data quality, or data management roles.</li><li>
Proven track record of working with DPOs or privacy compliance teams.</li><li>
Hands-on experience with Microsoft Purview for governance and compliance.</li></ul><p>
Skills:</p><ul><li>
Expertise in data governance frameworks (DAMA-DMBOK, DCAM).</li><li>
Strong knowledge of data privacy regulations and security best practices.</li><li>
Proficiency in SQL, data profiling tools, and cloud platforms.</li><li>
Excellent communication and stakeholder management skills.</li></ul><br>
<b>
Additional Information</b><p><br>
We realize that managing work life balance is a challenge we all face in our daily lives and in order to support with this we are pleased to offer hybrid and flexible working for most of our Avaloqers to maintain work life balance and still continue our fantastic Avaloq culture in our global offices.<br>
In Avaloq we are proud to embrace diversity and understand the success of our business is built on the power of different opinions, we are whole heartedly committed to fostering an equal opportunity environment and inclusive culture where you can be your true authentic self.<br>
We hire, compensate and promote regardless of origin, age, gender identity, sexual orientation or any other fantastic traits that make us all unique, we have done our best to write this advert in an inclusive and neutral way.<br>
Please be aware that we will not accept speculative CV submissions for any of our roles from recruitment agencies, and any unsolicited candidate submissions will be exempt from any payment expectations.</p><p>
#LI-Hybrid</p></div>

Senior Data Steward

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