big data analytics lead

<div><p><b>Line of Service
</b></p>Advisory
<p></p><p><b>Industry/Sector
</b></p>Not Applicable
<p></p><p><b>Specialism
</b></p>Data, Analytics &amp; AI
<p></p><p><b>Management Level
</b></p>Manager
<p></p><p><b>Job Description &amp; Summary
</b></p>At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
<br>
<br>
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
<p></p><p>Why PWC
</p><p>At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us .
</p><p>At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm&rsquo;s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.
</p><p></p><div><div><p><b>Job Description &amp; Summary: </b>A career within&hellip;.
</p></div></div><p></p><div><div><p><b>Responsibilities:
</b></p></div></div><div><div><ul><li><p>Analyses current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data &amp; Analytics Services.
</p></li></ul></div><div><ul><li><p>Provide technical leadership and thought leadership as a senior member of the Analytics Practice in areas such as data access &amp; ingestion, data processing, data integration, data modeling, database design &amp; implementation, data visualization, and advanced analytics.
</p></li></ul></div><div><ul><li><p>Engage and collaborate with customers to understand business requirements/use cases and translate them into detailed technical specifications.
</p></li></ul></div><div><ul><li><p>Develop best practices including reusable code, libraries, patterns, and consumable frameworks for cloud-based data warehousing and ETL.
</p></li></ul></div><div><ul><li><p>Maintain best practice standards for the development or cloud-based data warehouse solutioning including naming standards.
</p></li></ul></div><div><ul><li><p>Designing and implementing highly performant data pipelines from multiple sources using Apache Spark and/or Azure Databricks
</p></li></ul></div><div><ul><li><p>Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained
</p></li></ul></div><div><ul><li><p>Working with other members of the project team to support delivery of additional project components (API interfaces)
</p></li></ul></div><div><ul><li><p>Evaluating the performance and applicability of multiple tools against customer requirements
</p></li></ul></div><div><ul><li><p>Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints.
</p></li></ul></div><div><ul><li><p>Integrate Databricks with other technologies (Ingestion tools, Visualization tools).
</p></li></ul></div><div><ul><li><p>Proven experience working as a data engineer
</p></li></ul></div><div><ul><li><p>Highly proficient in using the spark framework (python and/or Scala)
</p></li></ul></div><div><ul><li><p>Extensive knowledge of Data Warehousing concepts, strategies , methodologies .
</p></li></ul></div><div><ul><li><p>Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably in Databricks).
</p></li></ul></div><div><ul><li><p>Hands on experience designing and delivering solutions using Azure including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Cosmos DB, Azure Stream Analytics
</p></li></ul></div><div><ul><li><p>Experience in designing and hands-on development in cloud-based analytics solutions.
</p></li></ul></div><div><ul><li><p>Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required .
</p></li></ul></div><div><ul><li><p>Designing and building of data pipelines using API ingestion and Streaming ingestion methods.
</p></li></ul></div><div><ul><li><p>Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is essential.
</p></li></ul></div><div><ul><li><p>Thorough understanding of Azure Cloud Infrastructure offerings.
</p></li></ul></div><div><ul><li><p>Strong experience in common data warehouse modelling principles including Kimball.
</p></li></ul></div><div><ul><li><p>Working knowledge of Python is desirable
</p></li></ul></div><div><ul><li><p>Experience developing security models.
</p></li></ul></div><div><ul><li><p>Databricks &amp; Azure Big Data Architecture Certification would be plus
</p></li></ul></div><div><ul><li><p>Must be team oriented with strong collaboration, prioritization, and adaptability skills required
</p></li></ul></div></div><p></p><div><div><p><b>Mandatory skill sets:
</b></p></div></div><div><div><p>Azure Databricks
</p></div></div><p></p><div><div><p><b>Preferred skill sets:
</b></p></div></div><div><div><p>Azure Databricks
</p></div></div><p></p><div><div><p><b>Years of experience </b><b>required </b><b>:
</b></p></div></div><div><div><p>7 -12 Years
</p></div></div><p></p><div><div><p><b>Education qualification:
</b></p></div></div><div><div><p>BE, B.Tech , MCA, M.Tech
</p></div></div><p></p><p><b>Education </b><i>(if blank, degree and/or field of study not specified)
</i></p>Degrees/Field of Study required: Bachelor of Technology, MBA (Master of Business Administration), Bachelor of Engineering
<p></p>Degrees/Field of Study preferred:
<p></p><p><b>Certifications </b><i>(if blank, certifications not specified)
</i></p><p></p><p><b>Required Skills
</b></p>Databricks Platform
<p></p><p><b>Optional Skills
</b></p>Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling {+ 32 more}
<p></p><p><b>Desired Languages </b><i>(If blank, desired languages not specified)
</i></p><p></p><p><b>Travel Requirements
</b></p><p></p><p><b>Available for Work Visa Sponsorship?
</b></p><p></p><p><b>Government Clearance Required?
</b></p><p></p><p><b>Job Posting End Date</b></p></div><p></p>

IN_Manager_Databricks_Data & Analytics_Advisory_PAN India

Tata Consultancy Services (TCS)

<div></div><div><div><div><p><div><div><div><div><p><b>Must-Have**</b></p><br>
</div><div><ul><li> Strong hands-on experience of Hadoop, HIVE, Spark, PySpark, Big Data Eco System Tools.</li></ul>
<ul><li> Strong SQL experience.</li></ul>
<ul><li> Should be able to develop, tweak queries and work on performance enhancement.</li></ul>
<ul><li> Solid understanding of object-oriented programming and HDFS concepts.<br>
</li></ul></div></div><br>
<div><div><p><b>Good-to-Have</b></p><br>
</div><div><ul><li> Preferable to have good DWH/ Data Lake knowledge.</li></ul>
<ul><li> &amp;n bsp; The candidate should have good DevOps and Agile Development Framework knowledge.</li></ul>
</div></div><br>
</div></div></p></div></div><div><div><div><b>Location</b></div>
<div>Chennai</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Developer</div>
</div><div><div><b>Job Id</b></div>
<div>397923</div>
</div><div><div><b>Desired Skills</b></div>
<div>Big Data | Hadoop | Hive</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF TECHNOLOGY</div></div></div><div></div>

Big Data

Target

<div><p><b>About Us</b></p><p></p><p>
As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers.</p><p>
Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up. Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful.</p><p></p><p><b>
Overview about TII</b></p><p></p><p>
At Target, we have a timeless purpose and a proven strategy. And that hasn&rsquo;t happened by accident. Some of the best minds from different backgrounds come together at Target to redefine retail in an inclusive learning environment that values people and delivers world-class outcomes. That winning formula is especially apparent in Bengaluru, where Target in India operates as a fully integrated part of Target&rsquo;s global team and has more than 4,000 team members supporting the company&rsquo;s global strategy and operations.</p><p></p><p><b>
Pyramid Overview</b></p><p></p><p>
A role with Target Data Science &amp; Engineering means the chance to help develop and manage state of the art predictive algorithms that use data at scale to automate and optimize decisions at scale. Whether you join our Statistics, Optimization or Machine Learning teams, you&rsquo;ll be challenged to harness Target&rsquo;s impressive data breadth to build the algorithms that power solutions our partners in Marketing, Supply Chain Optimization, Network Security and Personalization rely on.</p><p></p><p><b>
Team Overview<br>
</b></p><p><br>
MarTech Data Sciences is building the next-generation Marketing platform with AI at its core. Our vision is responsive, personalized marketing that delivers the right content, to the right guest, at the right moment, across channels.</p><p><b><br>
Position Overview</b></p><p><br>
As <b>Lead Data Scientist</b> you will join a Data Sciences team responsible for creating highly <b>personalised offers </b>for our Guests. You will play crucial role in designing, implementing, and optimising highly scalable machine learning solutions in production.</p><p>
Also, we expect you to guide the ML talent in the team on both algorithms and engineering. At an organizational level, you will conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need.</p><p></p><p><b>
About You</b></p><p></p><ul><li><p><b>
6+ years of relevant experience</b> in data science, analytics, or applied machine learning, with a strong track record of solving complex business problems through data-driven approaches.</p></li><li><p>
Demonstrated ability to <b>translate business problems into analytical solutions</b>, leveraging statistical, machine learning, or optimization techniques to drive business impact.</p></li><li><p>
Proven experience in <b>designing, building, and deploying machine learning models</b> and pipelines in production environments at scale.</p></li><li><p>
Collaborate cross-functionally with <b>data engineers, product managers, and software engineers</b> to define problem statements, design experiments, and build data solutions that deliver measurable value.</p></li><li><p>
Strong programming skills in <b>Python or Java</b>, with hands-on experience using <b>big data technologies</b> such as Hadoop or Spark. Familiarity with <b>machine learning libraries and frameworks</b> like TensorFlow, PyTorch, or Keras is a plus.</p></li><li><p>
Ability to <b>communicate complex technical concepts</b> and results clearly to both technical and non-technical stakeholders, using <b>visualizations, dashboards, and storytelling</b> techniques.</p></li><li><p><b>
Proactive and results-oriented</b>, capable of driving projects independently and delivering under tight deadlines.</p></li><li><p>
A <b>collaborative team player</b> with experience working across global teams and contributing to a shared vision.</p></li><li><p>
Demonstrated experience in <b>mentoring junior data scientists or analysts</b>, fostering a culture of learning and innovation.</p></li></ul><p></p><p><b>
Preferred:</b></p><ul><li><p>
MS or PhD in a quantitative field</p></li><li><p>
Experience with developing highly distributed ML systems</p></li></ul><p></p><p><b>
Know More About Us here:</b></p><ul><li><p>
Life at Target- https://india.target.com/</p></li><li><p>
Benefits- https://india.target.com/life-at-target/workplace/benefits</p></li><li><p>
Culture- https://india.target.com/life-at-target/belonging</p></li></ul></div><p></p>

Lead Data Scientist-MarTech Personalisation

Alignerr

<div>
 <strong>
  About The Job
  <br/>
  <br/>
 </strong>
 At Alignerr, we partner with the world&rsquo;s leading AI research teams and labs to build and train cutting-edge AI models.
 <br/>
 <br/>
 As a Precision Medicine Data Lead, you will guide how complex healthcare and genomic data is brought together, governed, and transformed into insights that enable personalized treatment strategies and advanced clinical research.
 <br/>
 <br/>
 <strong>
  Organization
 </strong>
 : Alignerr
 <strong>
  Position
 </strong>
 : Precision Medicine Data Lead
 <strong>
  Type
 </strong>
 : Hourly Contract
 <strong>
  Compensation
 </strong>
 : $40&ndash;$80 /hour
 <strong>
  Location
 </strong>
 : Remote
 <strong>
  Commitment
 </strong>
 : 10&ndash;40 hours/week
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design, oversee, and optimize pipelines that integrate genomics, clinical records, biomarkers, and other healthcare data into unified analytics platforms.
  </li>
  <li>
   Lead analytical strategies that convert integrated datasets into actionable insights for research, clinical decision support, and precision medicine initiatives.
  </li>
  <li>
   Collaborate with clinicians, researchers, and technical teams to ensure data quality, regulatory compliance, and alignment between data strategy and organizational goals while clearly communicating results to stakeholders.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What We&rsquo;re Looking For
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working with large-scale healthcare, genomic, or life sciences datasets in analytics or data leadership roles.
  </li>
  <li>
   Strong background in data integration, data governance, and translating complex data into meaningful insights for scientific or clinical audiences.
  </li>
  <li>
   Ability to work cross-functionally with clinical, research, and engineering teams in regulated or highly technical environments.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Prior experience with data annotation, data quality, or evaluation systems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join Us
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Competitive pay and flexible remote work.
  </li>
  <li>
   Lead a team working on cutting-edge AI projects.
  </li>
  <li>
   Exposure to advanced LLMs and how they&rsquo;re trained.
  </li>
  <li>
   Freelance perks: autonomy, flexibility, and global collaboration.
  </li>
  <li>
   Potential for contract extension.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Application Process (Takes 15-20 min)
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Submit your resume
  </li>
  <li>
   Complete a short screening
  </li>
  <li>
   Project matching and onboarding
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
 </em>
</div>


Precision Medicine Data Lead

HSBC

<div><p><b>Job Title: REPORTING AND ANALYTICS LEAD</b></p><p><b>
Purpose of the role</b></p><ul><li>
The opportunity is to build the organisation&rsquo;s engine for decision advantage &mdash; turning data into actions, and actions into measurable outcomes. You will lead the portfolio of high-impact AI and decision science use cases, establish a disciplined delivery model, and ensure the function consistently converts business priorities into scalable solutions.</li><li>
You will create the end-to-end capability: from identifying the right problems, to building decision engines and predictive models, to deploying them with strong governance, monitoring, and adoption. This includes setting the standards for model quality, explainability, and responsible AI &mdash; so leaders can trust the outputs and use them confidently in operational and financial decision-making.</li><li>
Over time, you will enable a shift from intuition-led choices to model-informed decisions across workforce planning, cost optimisation, performance management, and service delivery. Success in this role will be visible through sustained value delivery, faster decision cycles, stronger financial outcomes, and a mature AI capability that becomes a core part of how the business operates.</li></ul><p><b>
In this role, you will:</b></p><ul><li>
The candidate will deliver on the implementation of the framework through following activities below. Lead the design and delivery of decision science solutions including decision engines, forecasting, optimisation, and ML-based prioritisation models. Drive frameworks for demand elasticity, volumetric demand forecasting, capacity planning, and resource supply optimisation. Ensure models are explainable, auditable, and business-ready with clear decision logic and traceability.</li><li>
Build and manage a portfolio of AI use cases across operations, finance, risk, customer, and service functions.Ensure solutions move beyond POCs into production-grade AI products with clear ownership, monitoring, and ROI. Partner with technology teams to standardise model deployment, MLOps, model monitoring, and lifecycle management. Ensure AI solutions are grounded in trusted data (golden sources) with strong lineage, controls, and quality. Establish standards for metrics definition, semantic layers, and consistent business reporting. Drive governance for model risk, data privacy, and ethical AI in partnership with risk/compliance teams.</li><li>
Partner with senior stakeholders to translate business problems into measurable AI opportunities. Lead change management for adoption&mdash;training, communication, workflows, and business process integration. Track benefits through robust value measurement: savings, productivity, risk reduction, and service uplift.
</li><li>Build and lead a high-performing team across decision scientists, data scientists, analytics engineers, and AI engineers. Develop talent, career paths, and technical standards across the analytics lifecycle. Promote best practices in experimentation, statistical rigor, ML engineering, and storytelling.</li><li>
Manage a cross-functional team including business stakeholders, developers, and two strategic external suppliers. Set clear development priorities, performance expectations, and accountability measures for supplier teams. Proactively manage risks, issues, and changes in the scope, ensuring alignment with business objectives. Report regularly on project status, update Jira, Confluence, prepare the project plan. Provide mentoring and guidance to the Team members. Foster collaboration and accountable team culture focused on delivery excellence.</li><li>
Establish an operational performance framework for AI products including service reliability, monitoring, retraining triggers, model drift detection, and performance SLAs. Ensure AI solutions are production-ready with clear ownership, BAU support models, runbooks, and escalation paths. Define and implement model governance standards: documentation, validation, approvals, audit traceability, and periodic reviews.
</li><li>Embed responsible AI practices including explainability, fairness considerations, data privacy controls, and adherence to internal risk and compliance requirements. Drive continuous improvement through feedback loops, adoption tracking, and iterative enhancement of models and decision engines to sustain value over time.</li><li>
Act as a senior partner, building confidence in the CoE and ensuring strong sponsorship for priority initiatives. Lead cross-functional alignment on priorities, sequencing, and trade-offs across the AI portfolio, balancing value, feasibility, and delivery capacity. Influence senior stakeholders through strong storytelling, transparent reporting, and credible decision recommendations grounded in data. Manage stakeholder expectations by clearly communicating model limitations, assumptions, risks, and governance requirements. Build strong partnerships with technology and data platform teams to ensure solutions are scalable, secure, and aligned to enterprise architecture.</li><li>
Programme is highly complex, including: a diverse matrix, senior stakeholders, substantial work-streams. Managing across a wide variety of differing core processes and data technologies. Need to be able to work at multiple levels of the organization: senior management to ensure alignment and support for the program as well as project teams responsible for execution and delivery.</li><li>
To be successful in this exciting role, you should possess a combination of technical skills, analytical acumen, and collaborative abilities. Here are the key attributes and qualifications needed:</li></ul><p><b>
Qualification:</b></p><ul><li>
Master&rsquo;s degree in mathematics, Business, Computer Science, Engineering, or a related fields.12+ years in analytics, data science, decision science, or AI product leadership. Python, Machine learning and AI certifications are a must. Internal candidates must have completed all the AI ambassador courses in degreed.</li><li>
Proven experience building and scaling an analytics/AI CoE or equivalent enterprise capability. Track record of delivering production-grade AI solutions with measurable business outcomes. Experience working in complex matrix organisations with strong stakeholder management.</li><li>
Experience with workforce planning, resource optimisation, or operational cost modelling. Experience in finance, banking, shared services, or global operations environments. Familiarity with Responsible AI, model risk frameworks, and regulatory expectations. Experience deploying LLM-based analytics solutions (e.g., RAG, conversational BI) with guardrails.</li><li>
Strategic thinking with a hands-on approach to delivery. Excellent communication and negotiation skills. Strong analytical and problem-solving ability.</li><li>
Leadership and team-building mindset. High attention to details and organizational skills. Comfortable with ambiguity and building &ldquo;from scratch&rdquo;</li><li>
Strong governance mindset (trust, controls, auditability) By combining these skills and attributes, a candidate can effectively contribute to the department's mission of enhancing operational excellence and informed decision-making within the organization.</li></ul><p><b>
Hsbc.COm/Careers</b></p><p><b>
You&rsquo;ll achieve more at HSBC</b></p><p>
HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.&rdquo;</p><p></p><p><br>
Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.</p><p><b>
***Issued By HSBC Electronic Data Processing (India) Private LTD***</b></p></div>

REPORTING AND ANALYTICS LEAD

University of Pittsburgh

<div><div><p><b>Data Analytics Lead</b></p></div><div>
Health Sciences Research Administration - Pennsylvania-Pittsburgh - (26001137)</div><div></div><div><p><br>
This position provides support to the Research Data Operations Team within the Office of the Senior Vice Chancellor for the Health Sciences. The Research Data Operations Team maintains quality historical, current, and future sponsored project award funding and proposal data for use in internal and external reporting, dashboards, and national rankings/surveys.</p></div><p></p><div><div><b><br>
Job Summary</b></div><p>
Evaluates business requirements and performs advanced data integration and analysis. Develops advanced analytical and reporting tools utilizing multiple sources of integrated data. Provides technical support.</p></div><div><div><b>
Essential Functions</b></div><p>
The ideal candidate will be skilled in developing Tableau dashboards and reports, integrating data from multiple sources, validating reporting logic, and applying strong analytical practices. They should demonstrate the ability to solve complex data problems, streamline processes, and leverage new technologies or automation to improve workflows. The candidate should have experience developing high‑visibility reports for large and diverse audiences and responding to ad hoc reporting requests with accuracy and efficiency. Additionally, the candidate will collaborate with IT and participate in the maintenance of data assets as needed.</p><p>
This role requires strong attention to detail, technical acumen, and the ability to apply critical thinking skills.</p></div><div><div><b>
Physical Effort</b></div><div><div><div><p>
Little physical effort required. Duties are primarily sedentary. May be required to move objects up to 25 pounds occasionally.</p></div></div></div></div><p></p><div><p><i><br>
The University of Pittsburgh is an equal opportunity employer / disability / veteran.</i></p><div><br>
</div></div><div><div><b>
Assignment Category</b></div> Full-time regular</div><div><div><b>
Job Classification</b></div> Staff.Data Analyst III</div><div><div><b>
Job Family</b></div> Information Technology</div><div><div><b>
Job Sub-Family</b></div> Analytics</div><div><div><b>
Campus</b></div> Pittsburgh</div><div><div><b>
Minimum Education Level Required</b></div> Bachelor's Degree</div><div><div><b>
Minimum Years of Experience Required</b></div> 5</div><div><div><b>
Will this position accept substitution in lieu of education or experience? </b></div>Combination of education and relevant experience will be considered in lieu of education and/ or experience requirement.</div><div><div><b>
Work Schedule</b></div> Monday - Friday, 8:30 a.m. - 5:00 p.m.</div><div><div><b>
Work Arrangement</b></div> Hybrid: Combination of On-Campus and Remote work as determined by the department.</div><div><div><b>
Hiring Range</b></div> To be determined based on qualifications</div><div><div><b>
Relocation Offered</b></div> No</div><div><div><b>
Visa Sponsorship Provided</b></div> No</div><div><div><b>
Background Check</b></div> For position finalists, employment with the University will require successful completion of a background check</div><div><div><b>
Child Protection Clearances</b></div> Not Applicable</div><div><div><b>
Required Documents</b></div> Resume, Cover Letter</div><div><div><b>
Optional Documents</b></div> Not Applicable</div></div>

Data Analytics Lead

Al-Futtaim

<div><p><b>Job Requisition ID: </b>175861</p>
<p>
Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United Arab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organization to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.</p>
<p>
By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day</p><p><b><br>
Overview Of The Role:</b></p><br>
<ul>
<li>The Data &amp; Analytics Lead is pivotal in developing and executing the data and AI enablement strategy for Al-Futtaim Financial Services (AFF), Hertz, and international businesses, aligning all initiatives with the digital transformation roadmap. The role bridges business, technology, and AI innovation, focusing on creating a unified, governed, and scalable data ecosystem. By leading the design and delivery of the AI-enabled data and analytics platform, the role aims to offer product-level profitability, portfolio insights, and operational excellence. This involves driving various analytics deliveries and building an internal AI capability crucial for automation, decision intelligence, and customer insights.</li></ul><p></p><p><br>
<b>
What You Will Do:</b></p><br>
<h4 class="jobSectionHeader"><b>
Data Strategy and Enablement</b></h4><br>
<p></p>
<ul>
<li>Lead the Data &amp; AI Enablement agenda by defining and executing the data strategy aligned with the Group CDO and Digital Transformation plan.</li>
<li>Design and deliver the AI-enabled Data platform by establishing data pipelines and governance frameworks for AFF, Hertz, and related businesses.</li>
<li>Build AI capability by developing internal data science and ML delivery capabilities for use cases like credit risk, pricing, fraud detection, and collections optimization.</li></ul><br>
<p></p>
<h4 class="jobSectionHeader"><b>
Data Governance and Compliance</b></h4><br>
<p></p>
<ul>
<li>Implement policies, metadata management, lineage, and quality frameworks aligned with Group data leads.</li>
<li>Ensure data governance score achieves 95% with zero critical audit findings.</li></ul><br>
<p></p>
<h4 class="jobSectionHeader"><b>
Analytics and BI Delivery</b></h4><br>
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<ul>
<li>Drive data analytics platform adoption, ensuring implementation of executive dashboards covering profitability, equity, RoE, and self-service analytics for business teams.</li>
<li>Aim for BI adoption rate of 80% with reduction in manual reports.</li></ul><br>
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<h4 class="jobSectionHeader"><b>
Collaboration and Partnership Management</b></h4><br>
<p></p>
<ul>
<li>Collaborate with Group &amp; Divisional teams to ensure synergy with AFS&amp;TD, GTDP, EIB and initiatives to avoid duplication and ensure reuse of shared data assets.</li>
<li>Manage relationship with data engineering vendors, AI partners, and Group shared services (infrastructure, security) with SLA adherence of 95% and cost efficiency within budget.</li></ul><p><br>
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<b>Required Skills To Be Successful:</b></p><br>
<ul>
<li>Strong technical knowledge of Azure Data Factory, Power BI, SQL, and Fabric Lakehouse.</li>
<li>Familiarity with Python and ML frameworks such as Scikit-learn and Azure ML for model deployment.</li>
<li>Experience establishing and enforcing data governance towards certified data concepts, lineage, and quality frameworks.</li>
<li>Deep understanding of financial product data models, including Portfolio, Profitability, and RoE.</li></ul><br>
<p><br>
<b>What Equips You For The Role:</b></p><br>
<ul>
<li>10+ years in Data &amp; Analytics roles with at least 5 years in leadership capacity.</li>
<li>Hands-on experience designing and delivering fully AI enabled data platforms.</li>
<li>Proven experience in AI/ML delivery, such as credit risk, pricing, and customer analytics, including building digital twins.</li>
<li>Track record of managing data engineering and BI delivery teams, both internal and vendor.</li></ul><p></p><p><b><br>
About Al-Futtaim Group Real Estate</b><br>
The real estate development and operations arm of Al-Futtaim, Al-Futtaim Group Real Estate is responsible for a multi-billion-dollar portfolio across MENA. With high-quality residential, business, retail, tourism, educational and healthcare developments, the master developer caters to the diverse needs of cities and communities in the region. From origination, conception, development, sales, procurement and construction of mega-projects and the leasing, operation and management of these projects after completion, Al-Futtaim Group Real Estate (AFGRE) has been developing and managing owned landbanks, unlocking the economic potential of the region and contributing to future development for more than 40 years.<br>
Our focus is to enable and invest in meaningful relationships to make our properties the best places to live and work, build additional products and services and enable partnerships to create true value to our customers throughout their entire experience with us.<br>
AFGRE is responsible for master planning of all projects in its portfolio, including two large scale mixed use destinations: Dubai Festival City and Cairo Festival City.</p>
<p><b>About Al-Futtaim Malls</b><br>
Al-Futtaim Malls provides development and asset management expertise, specializing in building retail-led super regional malls in prime locations across MENA and beyond. With a proven track record of creating both sustainable revenue growth and value enhancement for tenants, Al-Futtaim Malls delivers exceptional experiences and exciting shopping environments for customers.</p>
<p>Part of the Al-Futtaim Group, Al-Futtaim Malls leadership team brings more than 30 years of experience and a deep understanding and knowledge of the retail sector, both from a shopper&rsquo;s point of view but as curators of space or landlords to other brands. The company has a directly managed portfolio including over 9 million sqft of retail space across four malls in the MENA region and two under development. Malls under the Al-Futtaim Malls portfolio include Dubai Festival City Mall and Festival Plaza in the UAE, Cairo Festival City Mall in Egypt, Doha Festival City in Qatar and Zenata Mall, Morocco.</p>
<p>Leveraging on the expertise of its parent company, Al-Futtaim Malls established PLEX Management Services offering a full array of services including asset management and development, leasing, and brand experience expertise to shopping mall landlords and retail organizations globally. Implementing global best practice and deploying Al-Futtaim Mall&rsquo;s deep understanding of mall management and retail dynamics, PLEX promises to deliver continuous growth and long-term value for its partners.</p>
<p>For more information on Al-Futtaim Malls, please visit https://www.al-futtaimmalls.com/</p>
<p><b>About Al-Futtaim Engineering &amp; Technologies</b><br>
Al-Futtaim Engineering &amp; Technologies offers customers complete engineering and systems integration solutions.<br>
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The Engineering arm operates in the UAE, Qatar, Saudi Arabia and Egypt providing a wide variety of products and services from air conditioning, scaffolding and access solutions, elevators and escalators, control and life safety, facilities management, building products, MEP, Energy Management, Technology Infrastructure and Digital Transformation.<br>
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The Technologies division provides complete business solutions to large, medium and small customers that include, contact centre solutions, business applications, business intelligence, data management, advanced analytics amongst others. The IT infrastructure portfolio comprises IP telephony, ELV systems, networking solutions, professional audio-visual solutions and managed services.<br>
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These solutions are further complemented by services that include project management, installation, testing, commissioning and after-sales maintenance contracts.</p></div><p></p>

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