data lead

Wellington Management

<div></div><div><div>About Us</div><div></div><div>
Wellington Management offers comprehensive investment management capabilities that span nearly all segments of the global capital markets. Our investment solutions, tailored to the unique return and risk objectives of institutional clients in more than 60 countries, draw on a robust body of proprietary research and a collaborative culture that encourages independent thought and healthy debate. As a private partnership, we believe our ownership structure fosters a long-term view that aligns our perspectives with those of our clients.</div><div></div><div>
About the Role</div><div></div><div>
THE COMPANY</div><div>
Tracing our roots to 1928, Wellington Management Company, LLP is one of the world&rsquo;s largest independent investment management firms. With US$1 trillion in assets under management as of 30 September 2018, we serve as a trusted adviser to institutional clients and mutual fund sponsors in over 60 countries. Our innovative investment solutions are built on the strength of proprietary, independent research and span the global capital markets, including equity, fixed income, multi-asset, and alternative strategies. As a private partnership whose sole business is investment management, our long-term views and interests are aligned with those of our clients. We are committed to attracting a talented and diverse workforce, and to fostering an open, collaborative, and inclusive culture because we believe multiple perspectives lead to more informed investment and business decisions. As an Equal Opportunity Employer, we welcome people with diverse life experiences, fresh ideas, and specialized subject-matter expertise.</div><div></div><div>
THE POSITION</div><div>
The Lead, Market Data Services will be a strategic leader within Wellington Management&rsquo;s Market Data Services team. This role is responsible for driving the delivery of high-impact, cost-effective market data solutions while ensuring operational excellence and compliance. The ideal candidate will bring deep expertise in market data management, strong vendor negotiation skills, and the ability to lead cross-functional initiatives that align with the firm&rsquo;s business priorities.</div><div></div><div>
RESPONSIBILITIES</div><ul><li>
Lead the execution and continuous improvement of the firm&rsquo;s market data program ensuring alignment with business needs.</li><li>
Oversee the full lifecycle of market data changes including onboarding, renewals, cancellations, and modifications, ensuring minimal disruption and maximum value.</li><li>
Manage inventory systems and invoice workflows with precision, ensuring accuracy, timeliness, and compliance with budgetary targets.</li><li>
Own relationships with key market data providers, lead contract negotiations, and monitor vendor performance to ensure service quality and value.</li><li>
Ensure accurate reporting of exchange data usage in accordance with licensing agreements and regulatory requirements.</li><li>
Serve as a key point of contact for investment teams and business units, providing expert guidance and support for market data needs.</li><li>
Maintain and improve systems such as Optimize Spend (FITS) and ServiceNow to support workflow efficiency and data integrity.</li><li>
Contribute to the annual budgeting process through detailed usage analysis, cost forecasting, and strategic recommendations.</li><li>
Promote effective use of market data tools through user training and support, driving adoption and maximizing ROI.</li></ul><div></div><div>
QUALIFICATIONS</div><ul><li>
Deep financial and market data services expertise with demonstrated leadership in managing complex vendor relationships.</li><li>
Strong knowledge of market data vendors (e.g., Bloomberg, FactSet, LSEG, ICE) and licensing structures; familiarity with exchange rules and reporting requirements.</li><li>
Prior experience with Optimize Spend strongly preferred. Experience with Power BI, Tableau and ServiceNow is a plus.</li><li>
Excellent verbal and written communication skills with the ability to influence stakeholders and bridge business and technical needs.</li><li>
Proven ability to lead initiatives, drive process improvements, and collaborate across departments in a fast-paced environment.</li><li>
High attention to detail with a disciplined approach to data management and operational execution.</li><li>
Proactive and resourceful with a strong commitment to continuous improvement and delivering high-quality outcomes.</li><li>
Experience with soft dollar regulations and procedures a plus</li></ul><div></div><div>
Not sure you meet 100% of our qualifications? That&rsquo;s ok. If you believe that you could excel in this role, we encourage you to apply and welcome a chance to review your background. We are dedicated to building and maintaining a diversified workforce and considering a broad array of candidates with a variety of skill, workplace experiences, and backgrounds.</div><div></div><div><i>
As an equal opportunity employer, Wellington Management ensures that all qualified applicants will receive equal consideration for employment without regard to </i><i>r</i><i>ace, color, sex, sexual orientation, gender identity, gender expression, religion, creed, national origin, age, ancestry, disability (physical or mental), medical condition, citizenship, marital status, pregnancy, veteran or military status, genetic information or any other characteristic</i><i> protected by applicable law</i><i>.</i><i> If you are a candidate with a disability, or are assisting a candidate with a disability, and require an accommodation to apply for one of our jobs, please email us at </i><div><i>GMWTalentOperations@wellington.com</i></div><i>.</i></div><div></div><div>
At Wellington Management, our approach to compensation is designed to help us attract, inspire and retain the best talent in our industry. We strive to pay employees fairly and competitively across all levels and roles. Our approach to compensation considers all aspects of total compensation; all employees are eligible to receive salary, variable compensation, and benefits. The base salary range for this position is:</div>
USD 90,000 - 180,000<div><div>
This range takes into account the wide range of factors that are considered when making compensation decisions, including but not limited to skill sets; role; skills and experience; certifications; and education. This range is an estimate, and further details on salary and total compensation aspects will be shared with candidates during the recruitment process.</div></div><div></div><div><div><br>
Base salary is only one component of Wellington&rsquo;s total compensation approach. Other rewards may include a discretionary Corporate Bonus and/ or Incentives, if eligible. In addition, we offer a comprehensive and high value benefit package to meet the unique needs of our employees and their families, and we are committed to fostering a flexible work environment that enables employees to thrive personally and professionally. Examples of our benefits include retirement plan, health and wellbeing, dental, vision, and pharmacy coverage, health savings account, flexible spending accounts and commuter program, employee assistance program, life and disability insurance, adoption assistance, back-up childcare, tuition/CFA reimbursement and paid time off (leave of absence, paid holidays, volunteer, sick and vacation time)</div><div></div><div>
We believe that in person interactions inspire and energize our community and are essential to our culture. In support of this commitment, our employees work from our offices 4 days a week with flexibility to work remotely 1 day a week. We believe that this approach ultimately supports our mission to deliver investment excellence to our clients and their beneficiaries over the long term.</div></div></div>

Market Data Lead

Picture More

<p>Are you a hands-on data driven HR professional who loves transforming people operations through technology?</p><p>This 12 month fixed term contract is a fantastic opportunity to lead HR Data Strategy and governance for a global firm rolling out SuccessFactors HRIS</p><p><strong>Key details:</strong></p><ul><li><strong>Role:</strong> HR Data Lead</li><li><strong>Contract:</strong> 12-month FTC</li><li><strong>Salary:</strong> Up to £90,000</li><li><strong>Location:</strong> London (Hybrid - 2 days a week in-office)</li><li><strong>Reports to:</strong> HRIS Manager</li></ul><p><strong>Why you'll love this role:</strong></p><ul><li>Work at the heart of a major HRIS transformation programme.</li><li>Collaborate with HR, IT, and vendor teams across multiple locations.</li><li>Influence how people data supports business decisions, compliance, and workforce planning.</li><li>Benefit from flexible hybrid working, private medical cover, gym subsidies, and a wide range of wellbeing perks.</li></ul><p><strong>What you'll be doing:</strong></p><ul><li>Define and implement HR data strategy and governance frameworks.</li><li>Lead data migration from Legacy systems to a new HR SaaS platform.</li><li>Ensure data quality, accuracy, and GDPR compliance.</li><li>Partner with HR and BI teams to deliver insights, dashboards, and analytics capabilities.</li><li>Train and support HR colleagues in best practice data use and reporting.</li></ul><p><strong>What you'll bring:</strong></p><ul><li>Expertise in HRIS data management (eg Workday, Oracle, SAP SuccessFactors).</li><li>Strong data governance and compliance experience (GDPR essential).</li><li>Proficiency with Excel, SQL, and Power BI or similar.</li><li>A consultative, collaborative style with the confidence to influence stakeholders.</li><li>Background in HR transformation or system implementation projects.</li></ul><p><strong>Apply today to take the lead on a global HRIS project that will shape the future of HR data.</strong></p><p>Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive workplace where all employees feel valued and respected. We encourage applications from candidates of all backgrounds.</p>

Data Lead (HRIS)

BRISKWIN IT SOLUTIONS

<div><div><div>Exp: 6-9yrs</div>
<div><b>Work location : Pune/Chennai/Mumbai/Noida/Coim</b><b>batore/Bangalore</b><br>
<b>Work Mode: Hybrid</b></div>
<div>Notice Period : Imm &ndash; 30 days</div>
<div></div><div><b>Mandatory skills : SSIS + MongoDB + SQL</b><p></p><b>
</b><p><b>
Job Title: Data Engineer Experience: 5+ years</b></p></div>
<div>
Job Description: We are looking for an experienced Data Engineer with strong expertise in building and managing data pipelines, integrating diverse data sources, and ensuring high data quality and performance. The ideal candidate will have hands-on experience with both structured and unstructured data systems.</div>
<div>Key Responsibilities: &bull; Design, develop, and maintain scalable ETL/ELT pipelines. &bull; Work with stakeholders to understand data requirements and deliver reliable solutions. &bull; Integrate data from various sources including SQL Server and MongoDB. &bull; Optimize data workflows and ensure data integrity and security. Must-Have Skills: &bull; 5+ years of experience in data engineering or related roles. &bull; Strong proficiency in SQL and MongoDB. &bull; Hands-on experience with SSIS (SQL Server Integration Services). &bull; Solid understanding of data modeling, ETL processes, and data warehousing. &bull; Experience with version control (Git) and working in collaborative environments.</div>
<div>Nice-to-Have: &bull; Experience with cloud platforms (Azure, AWS, or GCP). &bull; Familiarity with big data tools like Spark or Databricks. &bull; Exposure to CI/CD pipelines and DevOps practices.&rdquo;</div>
</div><div><div><div><div><b>Job Location: </b>BangaloreChennaiCoimbatoreNoidaPune</div></div></div></div></div>

Big Data Lead

turing

<div><p>Location: San Francisco, California, United States</p><p></p><div><div><p><b>
About Turing</b></p>
<p>
Based in San Francisco, California, Turing is the world&rsquo;s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.</p>
<p>
Recognized by Forbes, The Information, and Fast Company among the world&rsquo;s top innovators, Turing&rsquo;s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com</p></div><p></p>
<div>
<div>Turing powers model post-training for the world&rsquo;s leading AI labs, including OpenAI, Anthropic,
<br>
Google DeepMind, Microsoft AI, Amazon, Apple, and more.
<br>
<br>
We do this by building comprehensive evals, large-scale fine-tuning datasets, reinforcement learning environments, and benchmarks to measure and improve model capabilities across
<br>
domains.
<br>
<br>
The Code team at Turing specifically focuses on advancing end-to-end software engineering capabilities of frontier models and coding agents like Codex, Claude Code, Gemini CLI. This
<br>
includes capabilities across the software development lifecycle:<br>
<ul><li> real-world code generation (SWE-Bench-like environments across programming
</li></ul>languages, various levels of complexity, from real open-source and private codebases)
<ul><li> ML / data science
</li><li> UI/design to code
</li><li> terminal use (TerminalBench type data)
</li><li> code review
</li><li> code planning / reasoning
</li><li> PR writing
</li><li> PRD to code
</li><li> scientific coding / simulations
</li><li> open ended computer use for software tasks (OSWorld type data)
</li><li> and more...
</li></ul><br>
<b>The</b><b> </b><b>Role</b><b>
</b><br>
The Frontier Data Lead &ndash; Code will own end-to-end the creation of datasets, RL environments, and evals for frontier AI labs in the domain of coding agents and software engineering.
<br>
This is a hands-on technical leadership role where you influence revenue directly &ndash; you will be mapped to one or more AI labs and interface directly with researchers / engineers at those labs to understand their needs and build data offerings to address those needs. To achieve this, you will build and manage teams of software engineers, researchers, QAs, and contractors/data-annotators from Turing&rsquo;s talent pool of 4M+ developers.</div>
<div><br>
You&rsquo;ll be responsible for delivering projects at frontier quality and scale&mdash;owning data quality, throughput, and timely delivery. You&rsquo;ll define and manage data pipelines, validation workflows,
<br>
and review processes to ensure datasets meet the highest standards for realism, correctness, and diversity. You&rsquo;ll also develop automations, synthetic data generation systems, and internal
<br>
tools to scale production efficiently.</div>
<div><br>
In short, you&rsquo;ll run your project like a startup within Turing, owning both the technical architecture and the operational execution required to produce best-in-class datasets/environments/evals to make the world&rsquo;s best coding agents and models even better at real-world coding tasks across the software development lifecycle.
<br>
<br>
<b>What</b><b> </b><b>you&rsquo;ll</b><b> </b><b>do</b><b>
</b><br>
1. End-to-End Ownership: Data Quality, Process Design, and Team Building<br>
<ul><li> Lead the creation of datasets, rl environments, and evals focused on Coding Agents /
</li></ul>Software Engineering for one or more AI lab customers.
<ul><li> Ensure that everything you ship to clients meets frontier standards for realism,
</li></ul>correctness, diversity, and difficulty.
<ul><li> Set up quality rubrics, automated validation scripts, and human review processes for
</li></ul>every stage of data generation.
<ul><li> Build and lead cross-functional teams of software engineers, researchers, QAs, and data
</li></ul>creators drawn from Turing&rsquo;s 4M+ developer network.
<ul><li> Interview, onboard, train, and mentor team members to ensure consistent output quality
</li></ul>and technical excellence.<br>
<br>
2. Collaborate with Researchers at Frontier Labs<br>
<ul><li> Act as the primary technical point of contact for your customer projects, interfacing
</li></ul>directly with researchers and engineers at frontier AI labs to understand their coding
<br>
agent roadmap and model data needs, to gather feedback, and to co-define success
<br>
criteria for your projects.
<ul><li> Provide regular progress updates, surface insights from model evaluations, and
</li></ul>incorporate client feedback to improve future iterations.<br>
<br>
3. Drive Research, Sales Enablement, and Industry Thought Leadership
<ul><li> Fine-tune models in-house on Turing-generated datasets or Turing-rl-environment
</li></ul>generated trajectories to determine model improvement as a proof of data quality</div>
<ul><li> Proactively build benchmarks and run evals on frontier models and coding agents to
</li></ul>identify strengths and weaknesses on SWE tasks, and leverage these insights to inform
<br>
product roadmap
<ul><li> Equip customer-facing teams with the Evaluation reports, sample datasets, and trainings
</li></ul>to enable them to communicate your data offerings to customers most effectively
<ul><li> Publish research papers and technical posts on Turing&rsquo;s data products, innovations in
</li></ul>our synthetic data generation / automation pipelines, evaluations of frontier agents and
<br>
models, and Turing&rsquo;s model fine-tuning results on our datasets.<br>
<br>
4. Build Tools and Infrastructure
<ul><li> Oversee development of internal tools that accelerate data generation and verification
</li></ul>(e.g., automated data scraping pipelines, unit test generators, repo sandboxing).
<ul><li> Design dashboards and APIs for customers to run model evals, view performance
</li></ul>reports, and integrate Turing data directly into their post-training pipelines.<br>
<br>
<b>What</b><b> </b><b>we&rsquo;re</b><b> </b><b>looking</b><b> </b><b>for</b><b>
</b><ul><li> Post-training experience on SWE tasks or experience building coding agents: We
</li></ul>expect that you have a deep understanding of data ingredients and design principles
<br>
that lead to measurable coding model improvements, either from fine-tuning models to
<br>
improve SWE capabilities or building your own coding agents to improve upon SWE
<br>
capabilities of the base model.
<ul><li> Engineering Management experience: have led teams of engineers in the past,
</li></ul>including interviewing/hiring them and setting up QA processes.
<ul><li> Hands-on technical capability: Fluency in Python and proficiency in one or more major
</li></ul>languages (C++, Java, Go, Rust, or JS).
<ul><li> Operational leadership: Proven ability to manage complex data pipelines,
</li></ul>multi-stakeholder delivery, and concurrent high-stakes projects.
<ul><li> Cross-functional communicator: ability to communicate clearly with researchers at
</li></ul>frontier AI labs, subject matter experts for various domains, and diverse teams.
<ul><li> Background in Computer Science, Machine Learning, or related technical field
</li></ul>preferred.<br>
<br>
<b>Why</b><b> </b><b>Turing</b><b>
</b><br>
1. Work directly with the world&rsquo;s leading AI labs and enterprises at the cutting edge of
<br>
post-training and RL environment design.
<br>
2. Real impact (path to AGI): your datasets and environments will directly influence the
<br>
trajectory toward Artificial General Intelligence and, ultimately, Superintelligence. Coding
<br>
is the core reasoning substrate of intelligence&mdash;advancing models&rsquo; ability to understand,
<br>
design, and write code is effectively advancing their capacity for logic, planning, and
<br>
abstract thought.
<br>
3. Real Impact (GDP): automating software engineering unlocks one of the largest
<br>
productivity frontiers in history. The software engineering market represents trillions in
<br>
global GDP, and every percentage gain in automation translates to profound efficiency
<br>
and innovation benefits across all industries.
<br>
4. Talent-dense team, where you'll find high autonomy, rapid iteration, and an exceptional
<br>
learning curve.
</div>
<p></p><div><h3 class="jobSectionHeader"><b>Values:</b></h3>
<ul><li><b>We are client first</b>: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.</li>
<li><b>We work at Start-Up Speed: </b>We move fast, stay agile and favor action because momentum is the foundation of perfection</li>
<li><b>We are Al forward: </b>We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity.</li>
</ul><h3 class="jobSectionHeader"><b>Advantages of joining Turing:</b></h3>
<div><ul><li>Amazing work culture (Super collaborative &amp; supportive work environment; 5 days a week)</li>
<li>Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)</li>
<li>Competitive compensation</li>
<li>Flexible working hours</li>
</ul>
<p><b>Don&rsquo;t meet every single requirement?</b> Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you&rsquo;re excited about this role but your past experience doesn&rsquo;t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.</p></div></div></div></div><p></p>

Frontier Data Lead - Coding

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

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

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