analytics manager

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5><div>dnata is more than a global air and travel services provider. We connect people with possibilities and opportunities across 130+ airports in 34 countries through ground handling, cargo, travel, and catering &amp; retail services. Our purpose is clear: to deliver on the promises our customers make. We are powered by a bold vision to be the world&rsquo;s most admired air and travel services provider, which guides our strategy, culture, and every role across our teams. Our core values fuel everything we do: we are safe, we play to win, we respect everyone and work together as a team, and we are future thinking. At dnata, we foster diversity, nurture ambition, and celebrate achievement. If you're inspired by purpose and motivated to be part of a global team shaping the future of aviation and travel, we&rsquo;d love to have you onboard.
</div><div>As Data Analytics Manager, you will establish the framework for the quantitative and qualitative drivers impacting the performance of the dnata Cargo. You will provide recommendations to optimize operational efficiency and improve performance measures to achieve defined strategic objectives as well as develop specific metrics to guide stakeholders on trends / targets and deviations alongwith a framework of systems to provide governance. The role is based full-time in our Dubai office.
</div>In this role, you will:
<ul><li>Oversee the review, analysis, and reconciliation of data generated reports and ensure published reports remain relevant and support the business to improve Operations.
</li><li>Works with key stakeholders as the business support representative with IT - to develop requirements, business processes, and Statements of Work for new systems and upgrades or additional features of existing systems.
</li><li>Manage the daily operations, workflow, and supervise data management of staff to ensure provision of technical support to the Business Intelligence platform adopted for dnata Cargo including data integration and implementation.
</li><li>Collect and analyse stored data in order to develop business requirements, identify possible conflicts with the strategy and make recommendations for improvement.
</li><li>Assess and analyse all processes on an ongoing basis to determine their effectiveness, eliminate inefficiencies, and recommend innovative solutions to improve workflow, operations and staff performance.
</li><li>Develop data management capability and the use of analytics for predictive/forecast ability to support decision made.
</li><li>Work with Functional Heads to develop, refine and validate resource algorithms with respect to resource planning and allocation. Review the results of the operational analysis with the Resource Planning team to evaluate defined engagement standards.
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for the role, you must meet the below requirements:
<ul><li>Bachelor's degree or Honours in Operational Research, Industrial or other Engineering.
</li><li>Minimum 10-12 years of experience within Airline/Handling environment or similar.
</li>At least 5 years in positions of progressively increasing managerial responsibilities. 
<li>
</li></ul> 
You will have an edge, if you have:
<ul><li>Post-graduate qualification in Business Management.
</li><li>Knowledge &amp; experience of Cargo operations, Logistics or Supply Chain industry.
</li></ul>At Emirates Group, we&rsquo;re committed to providing our employees with opportunities to grow and develop in their careers. So if you&rsquo;re looking for a challenging and rewarding opportunity, apply today and join our team! 
 
Recruitment Process and Timeline
Emirates Group, is an international organisation with employees from over 170 nationalities, we encourage applications from across the globe. Your application journey begins by applying via the Emirates Group Careers website. Please ensure your CV is up to date for our talent acquisition team to review your profile. If you meet the criteria of the role, you will then be invited to complete a HireVue video interview, to share more about your experience and your career aspirations. If you are shortlisted, you will then be invited to interview with our hiring managers. If you are successful, your recruiter will reach out to you with an offer and then our Onboarding team will ensure a smooth transition to your new role at Emirates Group.
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>Join us in a management role and enjoy an attractive tax-free salary.
On top of our generous travel benefits, including discounted flights and hotel stays around the world, this managerial role also has an excellent leave and healthcare package. That&rsquo;s on top of transport benefits, life insurance and more. Find out what it&rsquo;s like to live and work in our fast-paced, cosmopolitan home city in the Dubai Lifestyle section of our website www.emirates.com/careers</div>

Data Analytics Manager, dnata Cargo

Majid Al Futtaim

<div>
 
 
 BUSINESS INTRODUCTION
 
 
 
 Majid Al Futtaim Holding is the leading shopping mall, retail, communities, entertainment developer and operator in the Middle East, North Africa, and Central Asia regions. With over 43,000 people, revenues of over US$ 11 Billion, and operations in 18 countries. Some of the iconic brands we carry include Mall of the Emirates, Carrefour, All Saints, Lego, City Center, Abercrombie &amp; Fitch, &amp; Vox Cinemas. We believe in making Great Moments for Everyone, Every day.
 
 
 
 
 
 
 JOB TITLE
 
 
 
 Product Manager - Advanced Analytics | Majid Al Futtaim Properties
 
 
 
 
 
 
 ROLE SUMMARY
 
 
 
 The
 
 Advanced Analytics Product Manager
 
 will play a critical role in driving the development and success of high-impact, AI-powered use case products within the transformation roadmap. This role serves as the strategic bridge between business stakeholders, implementation teams, and technology functions&mdash;ensuring Advanced Analytics solutions are aligned to business goals, deliver measurable value, and are effectively integrated into decision-making processes.
 
 
 
 
 
 
 ROLE PROFILE
 
 
 <ul>
 <li>
 Collaborate closely with the Business owners and Head of Analytics to define and implement a group-wide analytics product strategy aligned to business priorities and the Transformation vision.
 </li>
 <li>
 Own the full product lifecycle of advanced analytics and AI-powered use cases&mdash;from ideation and proof-of-concept (POC) to scaled implementation, adoption, and continuous improvement.
 </li>
 <li>
 Set the vision, strategy, and roadmap for each analytics product, ensuring clarity of purpose, stakeholder alignment, and long-term value delivery.
 </li>
 <li>
 Participate in discovery workshops with business units to identify analytics opportunities, shape problem statements, and prioritize high impact use cases.
 </li>
 <li>
 Collaborate with data science, analytics, and business teams to convert successful POCs into scalable products that deliver measurable outcomes.
 </li>
 <li>
 Build and maintain strong partnerships with senior stakeholders across functions, acting as a trusted advisor and product evangelist.
 </li>
 <li>
 Lead change management efforts, helping drive cultural and behavioral shifts around data usage and analytics adoption.
 </li>
 <li>
 Work with data management teams to structure and prepare high-quality, relevant data assets that enable fast prototyping and product development.
 </li>
 <li>
 Partner with data engineers to incorporate internal and external data sources, optimizing analytics product performance and value.
 </li>
 <li>
 Provide input into the data infrastructure roadmap, ensuring alignment between analytics product needs and platform capabilities.
 </li>
 <li>
 Support the advanced analytics operating model, participating in governance forums, and contributing to the evolution of best practices.
 </li>
 </ul>
 
 
 
 
 
 REQUIREMENTS
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in a quantitative discipline such as Business, Computer Science, Engineering, Mathematics, Economics, or related fields.
 </li>
 <li>
 10+ years of experience in analytics, product management, business analysis, and management consulting.
 </li>
 <li>
 Strong background in delivering data or AI-powered products, ideally within large organizations and being part of data transformation programs.
 </li>
 <li>
 Strong understanding of data and analytics fundamentals, product development lifecycles, and enterprise business environments.
 </li>
 <li>
 Exceptional interpersonal skills; highly effective in cross-functional teamwork and communicating complex ideas in a simple, compelling way.
 </li>
 </ul>
 
 
 
 
 
 WHAT WE OFFER
 
 
 <ul>
 <li>
 At Majid Al Futtaim, we&rsquo;re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We&rsquo;re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us!
 </li>
 <li>
 Work in a friendly environment, where everyone shares positive vibes and excited about our future.
 </li>
 <li>
 Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.
 </li>
 </ul>
 
 
</div>

Product Manager - Advanced Analytics

Sephora

<div>At Sephora, beauty is about feeling seen, valued, and empowered, individually and collectively. It is connecting deeply with others, celebrating diversity and inclusivity, unlocking your potential and making a difference every day. Together, we belong to something beautiful. 
Since its inception in 1969 in Limoges, France, and as part of the LVMH Group since 1997, Sephora has been disrupting the prestige beauty retail industry. Today, Sephora continues to break with convention to drive its mission: champion a world of inspiration and inclusion where everyone can celebrate their beauty. 
With 56,000 employees in 35 countries, we connect customers and beauty brands within the world&rsquo;s most passionate beauty community. With a curation of nearly 500 brands, and our own label, Sephora Collection, we offer the most unique and diverse range of products: fragrances, makeup, hair care, skincare... and much more. 
Position Purpose:
The Loyalty Data and Insights Manager oversees all Beauty Pass data, insight, and analytics efforts to drive impactful decision-making across the organization. This remit ensures seamless and real-time access to data; and drives his/her team to generate strong insights and actionable reports. He/she will have a track record of expertise in identifying data requirements, turning raw data into compelling insight and working with relevant Sephora teams to identify/action opportunities. The Loyalty Data and Insights Manager needs to be an effective project manager who can prioritize work, drive deliverables and collaborate effectively with teams. He/she should also be a strong team manager able to inspire, nurture and grow team members. 
You will excel and enjoy this position if you are ready to actively handle the following missions:
Loyalty Health Management<ul><li>
Oversee the main program KPIs, create accurate monthly forecasts and reconcile monthly versus actual.</li><li>
Lead the monitoring of key loyalty program health metrics to identify status/risks and deep dive into insight/trends.</li><li>
Leverage data to provide actionable insights that further optimize program performance and enhance customer retention.</li><li>
Regularly present findings to stakeholders in a clear, digestible format to inform strategic decisions.</li></ul> 
Data &amp; Insight Oversight<ul><li>
Manage all incomings data requests to support the Sephora business with loyalty-related data around stores, e-commerce, brands and more.</li><li>
Lead all discussions and requests with team to support:<ul><li>
Insight and reporting needs for thematic campaigns and brand/product launches.</li><li>
Splits, forecasts, run rates and redemption for gifting and more.</li><li>
Segmentation, insights and A/B testing for communications.</li></ul></li><li>
Set up a prioritization framework to handle competing demands and split work amongst team members effectively.</li><li>
Monitor workload and incoming requests to stay on top of backlog, new requests and work in progress with constant flags to delivery risks.</li></ul> 
Reporting &amp; Enablement Leadership<ul><li>
Oversee the delivery of scheduled weekly and/or monthly reports to various areas of the business leadership teams with a focus on loyalty metrics in-store and online.</li><li>
Manage and maintain user-friendly reports and dashboards that provide key real-time metrics easily accessible and understood by the larger organization.</li><li>
Share reports on a consistent cadence with strong &lsquo;so what&rsquo; implications to ensure stakeholders are well-informed and can take effective decisions.</li><li>
Continue to drive data excellence across the organization by constantly aligning with other insight experts across the group including Offers, E-commerce and Retail.</li></ul> 
Stakeholder Management &amp; Request Optimization<ul><li>
Manage strong relationships with various business teams to understand their data needs and ensure that delivered result is relevant and timely to their business challenges.</li><li>
Organize and manage all incoming data requests, ensuring clarity in ask and purpose of data required.</li><li>
Create an effective data repository of all previous reporting and dashboards to ensure access and sharing across teams and requestors</li><li>
Be the point of contact for all Global and Central teams in the areas of data, insights and analytics</li><li>
Constantly coordinate with Global and Central tech teams to ensure access to correct data platforms/systems and reliability of data pulled</li></ul> 
Do not hesitate to apply if you have<ul><li>
5+ years of relevant experience in pulling and analyzing large datasets, and creating actionable insights</li><li>
Track record of success in leveraging data to drive business decisions with demonstrated impact</li><li>
Preferred experience working within the retail industry focused on multiple brands and products as well as complex data segments</li><li>
Bachelors degree in Analytics, Computer Science or equivalent</li><li>
Adept at quickly learning new data platforms and a master at leveraging tools to quickly and effectively analyze data. Knowledge of Power BI is preferred</li><li>
Strong project manager who is able to take on multiple and conflicting requests and effectively create a delivery plan across team members</li><li>
Excellent communication skills (oral, written, and interpersonal) and ability to work in teams</li></ul> 
Here, you will find:<ul><li>
Community, in which authenticity is embraced, and the strength of our differences fuels our collective spirit</li><li>
Culture of empowerment, learning &amp; growth, that offers you the tools, space and opportunity to learn, innovate and lead</li><li>
Work that brings fulfillment. From delighting clients every day, to inspiring our industry at large, every action makes a difference</li></ul> 
Join us and belong to something beautiful</div>

Loyalty Data & Insights Manager

Shamal LLC

<div>Overview:

Shamal Holding is a diversified investment firm that cultivates the extraordinary. Born in Dubai, we curate a unique portfolio of extraordinary investments, experiences and assets to generate meaningful outcomes. The investments we make are strategically chosen and thoughtfully nurtured, mirroring Dubai&rsquo;s ambition, spirit and energy. As a global investor, asset owner and developer we utilise our resources, know-how and connections, to deliver long-term value, wherever we operate. 
As Shamal Holding continues to grow, we&rsquo;re in search of a Senior Manager &ndash; Data and Analytics. In this role you will lead the strategic development and management of data-driven initiatives, driving informed decision making and operational efficiency, working with agile squads to collect, analyse, and utilise data to align with business goals, foster innovation, and gain competitive insights.
Responsibilities:

Strategic Responsibilities:<ul><li>
Create and implement a comprehensive data and analytics strategy aligned with organizational objectives to drive innovation, informed decision-making, and competitive advantage.</li><li>
Establish data governance frameworks and policies to ensure data accuracy, integrity, security, and compliance across the organization's data ecosystem.</li><li>
Lead the development of business analytics solutions, including predictive modeling, data visualization, and reporting tools, to provide actionable insights for key stakeholders.</li><li>
Collaborate with departments across the organization to identify opportunities for leveraging data to optimize processes, people, enhance customer experiences, and identify growth areas.</li><li>
Evaluate and implement cutting-edge data technologies and tools that enable efficient data collection, processing, storage, and analysis to support the organization's strategic goals.</li></ul>
 IT Management and Governance:<ul><li>
Helps establish governance structure where decision-making is weighted toward empowered teams.</li><li>
Lead and manage the Data Analytics squads and outcomes.
</li><li>Prepare and monitor IT capital and operational budgets for assigned portfolio.
</li><li>Execute through alignment to the new digital operating model and working with cross&#8208;functional squads orchestrating continuous value delivery through release planning increments.</li><li>
Balance between and keeping pace with technology developments, business strategy, competitive landscape, evolving stakeholder needs, and initiative goals/deadlines.</li></ul>
IT Operations:
<ul><li>Direct the planning, deployment and management of the data analytics initiatives and services.
</li><li>Oversee the demand management exercise to collect Digital requirements and ensure they address them in alignment with the overall IT and Data Analytics strategy.</li><li>
Ensure the design and implementation of applications and systems align with Shamal Holding IT &amp; Data Analytics strategy and roadmap.</li><li>
Ensure the provision of L1, L2, and L3 support for all Data Analytics applications and it&rsquo;s infrastructure.</li></ul>
Data Architecture:<ul><li>
Leads development of data architecture, guide technology directions, and set appropriate strategies, policies, standards and practices to govern the Data landscape of the organization.</li></ul>
IT Security:
<ul><li>Supports the setup, maintenance, monitoring, and improvement of the security of systems related to analytics.</li><li>
Implement information security standards for the assigned portfolio, policies and procedures across Shamal Holding based on leading industry guidelines and regulatory requirements (e.g. DESC, TDRA, NESA, GDPR).</li></ul>
Data Management:<ul><li>
In collaboration with the Data management and protection team of Shamal, ensure Shamal Holding complies with relevant data management regulations and best practices, and lead the development of a centralized customer data management platform for Shamal Holding.</li><li>
Ensure Shamal Holding data arising out of platforms, is appropriately managed, maintained, and monitored, and procedures are established to continuously improve data quality and utilization. In addition to developing necessary controls to ensure the data collected is accurate, valid, granular, complete, and consistent.</li></ul>
 People Management Responsibilities:<ul><li>
Set clear expectations to the team, inspire, and motivate direct reportees, and lead by example. Provide guidance, coaching, and mentorship to team members to help them achieve their performance goals.</li><li>
In collaboration with the People function, identify and address skill gaps, and provide opportunities for learning and development for the Data Analytics employees.</li><li>
Direct the employee performance management processes within Data and Analytics in alignment with the People policies and procedures to ensure continuous improvement for the employee&rsquo;s performance.</li><li>
Direct the performance evaluation process and validate its results within Data and Analytics in alignment with the People policies &amp; procedures to ensure appropriate and fair evaluation for the employees concerned.</li></ul>
Qualifications:
<ul><li>Bachelor's or Master's degree in a relevant field such as Computer Science, Information Technology, Digital Transformation, or a related field.</li><li>
MBA or related advanced business degrees, are preferable</li><li>
A minimum of 10 years of relevant experience with at least 3 years in a managerial or supervisory role.</li><li>
Experience as a Data Analytics Lead or equivalent position in a global environment.</li><li>
Experience to set and communicate a clear vision, aligning data initiatives with business goals.</li><li>
Proficiency in developing comprehensive data strategies to drive decision-making and innovation.</li><li>
Familiarity with data technologies, tools, and platforms for efficient data collection, storage, and analysis.</li><li>
Skill in working with diverse teams and departments to leverage data for organizational improvement.</li><li>
Effective communication of complex insights to non-technical stakeholders.</li><li>
Experience in building and leading high-performing data teams.</li><li>
Understanding of industry trends, competitive landscapes, and business drivers.</li><li>
Ability to identify challenges and design data-driven solutions to address them.</li><li>
Extensive experience in scrum/project management/delivery management or an associated area.</li><li>
An entrepreneurial mindset; able and interested to pursue new business channels and models.</li></ul><div></div> 
For more information about Shamal, please visit our LinkedIn page: https://www.linkedin.com/company/shamalholding/ 
Note:
<div>Due to a high influx of profiles, only shortlisted candidates will be contacted.</div></div>

Senior Manager - Data & Analytics

Al-Futtaim

<div>Job Requisition ID: 174470

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 A&rdquo;rab 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 organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.

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. 

Overview Of The Role: 
<ul>
<li>The Data Application Manager (Retail) is pivotal in establishing and optimizing data management capabilities within the Retail sector of Al-Futtaim. This role focuses on supporting and enhancing the data strategy through effective data engineering, analytics, and operational practices. The manager acts as a bridge between retail business needs and technical execution, ensuring that data is accurately managed and harnessed for maximum business value. Working within the Global Technology &amp; Digital Platform framework, the role demands close collaboration with various stakeholders including IT partners, data governance professionals, and enterprise architects to ensure compliance with data standards and security.</li>
<li>An essential component of the position involves managing Azure-based data architectures and enhancing the data integration from various retail systems into cohesive platforms. The role also involves defining and measuring KPIs using interactive dashboards and leading the analytics and reporting initiatives. In essence, the manager contributes to driving the technological advancement and data-informed decisions within the retail division.</li></ul> 


What You Will Do: 

<ul>
<li>Develop and implement data application solutions aligned with retail business objectives.</li>
<li>Collaborate with business stakeholders to translate requirements into technical solutions.</li>
<li>Manage design, development, and deployment of data applications leveraging existing tools and services.</li>
<li>Ensure integration of data from multiple retail systems into centralized platforms.</li>
<li>Define KPIs and build interactive dashboards for analytics and reporting.</li>
<li>Monitor and optimize data pipelines, ETL processes, and application performance.</li>
<li>Implement best practices for scalability and cost efficiency in Azure.</li>
<li>Understand and enforce robust security measures, including identity management and role-based access control.</li>
<li>Collaborate with data science teams to support AI / ML use cases.</li>
<li>Manage a lean and high-performance team, mentoring and guiding data engineers, BI developers, and analysts.</li>
<li>Maintain and operationalize the data catalog, business glossary, and metadata management practices.</li>
<li>Oversee day-to-day Retail Data Operations.</li></ul> 
 
Required Skills To Be Successful: 

<ul>
<li>Proficiency in analytical solutions and data management, especially on Azure and SAP platforms.</li>
<li>Exceptional communication, facilitation, and stakeholder engagement skills.</li>
<li>Ability to manage and deliver Retail Data Projects with high attention to detail and a structured approach.</li>
<li>Strong analytical and problem-solving capabilities with an ability to drive organizational change across business and IT sectors.</li></ul> 
 
What Qualifies You For The Role: 

<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Information Technology, Computer Science or related discipline.</li>
<li>12+ years of experience in Data Engineering and Analytics including implementation, transformation, and support.</li>
<li>Strong retail business domain knowledge and proficiency with data management tools and languages like Azure Platform, Azure Data Factory, Databricks, MS Fabric, SQL, Python, and PySpark.</li>
<li>Expertise in data modeling, data design activities, and experience with SAP solutions such as S/4, SAP BW, and SAP BO. Proficiency in PowerBI, Tableau, and Alteryx is essential.</li></ul> 
We&rsquo;re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish. 

Before you click &ldquo;apply&rdquo;: Please read the job description carefully to ensure you can confidently demonstrate why this opportunity is right for you and take the time to put together a well-crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence. 

As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.</div>

Data Application Manager - Retail

<div>Job Requisition ID: 174471

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 A&rdquo;rab 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 organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.

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. 

Overview Of The Role: 
<ul>
<li>The Data Application Manager (Automotive) is pivotal in defining and operationalizing data management capabilities across Al-Futtaim's Automotive division. Operating within the Global Technology &amp; Digital Platform function, the role supports the maturation of data strategies and ensures data is optimized for business value. Responsibilities include developing data solutions, managing a high-performing team, and collaborating with multiple business units to uphold data integrity and security. Success involves driving continuous improvements in data operations, leveraging industry best practices, and enabling advanced analytics and AI initiatives.</li></ul> 

What You Will Do: 
<h4 class="jobSectionHeader">
Data Application Development</h4>
<ul><li>Develop and implement data application solutions aligned with Automotive business objectives.</li>
<li>Collaborate with business stakeholders to translate requirements into technical solutions.</li>
<li>Manage design, development, and deployment of data applications leveraging existing tools and services.</li></ul> 

<h4 class="jobSectionHeader">
Data Infrastructure Management</h4>
<ul><li>Manage Azure-based architecture for data storage, processing, and analytics.</li>
<li>Ensure integration of data from multiple Automotive systems into centralized platforms.</li>
<li>Monitor and optimize data pipelines, ETL processes, and application performance.</li></ul> 

<h4 class="jobSectionHeader">
Leadership and Team Management</h4>
<ul><li>Manage a lean and high-performing team.</li>
<li>Mentor and guide data engineers, BI developers, and analysts.</li></ul> 

<h4 class="jobSectionHeader">
Data Governance and Security</h4>
<ul><li>Ensure robust security measures, including identity management and role-based access control.</li>
<li>Maintain and operationalize the data catalog, business glossary, data dictionary, and metadata management practices.</li></ul> 

<h4 class="jobSectionHeader">
Analytics and Reporting</h4>
<ul><li>Define KPIs and build interactive dashboards as per Automotive best practices.</li>
<li>Lead dashboard development for analytics and reporting.</li></ul> 

<h4 class="jobSectionHeader">
Collaboration and Continuous Improvement</h4>
<ul><li>Collaborate with data science teams to support AI / ML use cases.</li>
<li>Oversee day-to-day Automotive Data Operations.</li>
<li>Implement best practices for scalability and cost efficiency in Azure.</li></ul> 
 
Required Skills To Be Successful:
<ul>
<li>Proficient in managing Azure-based data architectures and solutions.</li>
<li>Strong analytical and problem-solving skills with a methodical approach.</li>
<li>Exceptional stakeholder engagement and communication skills.</li>
<li>Proven ability to lead and inspire a technical team towards high-performance outcomes.</li></ul> 
 
What Qualifies You For The Role:
<ul>
<li>Bachelor&rsquo;s or Master&rsquo;s degree in Information Technology, Computer Science, or a related discipline.</li>
<li>12+ years of experience in Data Engineering and Analytics, with implementation and transformation expertise.</li>
<li>Strong automotive business domain knowledge and experience with data management tools/platforms like Azure, Azure Data Factory, Databricks, and more.</li>
<li>Familiarity with SAP solutions such as S/4, SAP BW, and SAP BO, and competence in data modeling and database optimization.</li></ul> 
We&rsquo;re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish. 

Before you click &ldquo;apply&rdquo;: Please read the job description carefully to ensure you can confidently demonstrate why this opportunity is right for you and take the time to put together a well-crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence. 

As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.</div>

Data Application Manager - Automotive

Deem Finance

<div>
 
 
 Key Performance Indicators
 
 
 
 
 Advanced Analytics &amp; AI Enablement
 
 
 <ul>
 <li>
 Lead the development of
 
 predictive, prescriptive, and ML models
 
 for growth, risk, customer experience, and efficiency.
 </li>
 <li>
 Build reusable
 
 data products, dashboards, and analytical APIs
 
 for business self-service.
 </li>
 <li>
 Deploy AI/ML use cases across domains such as
 
 Cards, PL, ML, SME, Deposits, Digital Channels, Collections, and Marketing
 
 .
 </li>
 <li>
 Ensure measurable business impact (revenue uplift, cost reduction, risk mitigation).
 </li>
 </ul>
 
 
 
 
 
 Business Partnering &amp; Value Realisation
 
 
 <ul>
 <li>
 Partner with senior business stakeholders to identify
 
 high-value data opportunities
 
 .
 </li>
 <li>
 Translate business problems into analytical solutions with
 
 clear ROI and success metrics
 
 .
 </li>
 <li>
 Challenge assumptions with data-driven insights and influence strategic decisions.
 </li>
 </ul>
 
 
 
 
 
 Data Products &amp; Platform Adoption
 
 
 <ul>
 <li>
 Promote scalable analytics using cloud, big data, and modern ML platforms.
 </li>
 <li>
 Improve analytics maturity across teams through enablement and best practices.
 </li>
 </ul>
 
 
 
 
 
 Data Strategy &amp; Digital Data Journey
 
 
 <ul>
 <li>
 Define and execute the
 
 enterprise data &amp; analytics roadmap
 
 aligned with business strategy.
 </li>
 <li>
 Establish data as a
 
 single source of truth
 
 through governed, scalable, and reusable data assets.
 </li>
 <li>
 Drive adoption of advanced analytics, AI, and automation across business units.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Lead the
 
 design, development, and deployment
 
 of advanced analytics and AI solutions.
 </li>
 <li>
 Own the
 
 end-to-end analytics lifecycle
 
 : problem framing, data preparation, modelling, validation, deployment, and monitoring.
 </li>
 <li>
 Guide teams on
 
 feature engineering, model selection, performance tuning, and interpretability
 
 .
 </li>
 <li>
 Drive data storytelling and executive-level insights through compelling narratives and visuals.
 </li>
 <li>
 Mentor and develop data scientists and analysts; set technical and delivery standards.
 </li>
 <li>
 Collaborate with IT, Data Engineering, Risk, Finance, and Product teams to embed analytics into workflows.
 </li>
 <li>
 Prioritise initiatives using
 
 value vs effort
 
 and ensure timely execution.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Core Skills &amp; Competencies
 
 
 <ul>
 <li>
 Strong hands-on expertise in
 
 Python/R / SQL
 
 and modern data science frameworks.
 </li>
 <li>
 Proven experience in
 
 machine learning, statistical modelling, and AI techniques
 
 .
 </li>
 <li>
 Strong understanding of
 
 data architecture, data pipelines, and cloud analytics platforms
 
 .
 </li>
 <li>
 Ability to convert complex analytical outputs into
 
 clear business recommendations
 
 .
 </li>
 <li>
 Excellent stakeholder management, communication, and presentation skills.
 </li>
 <li>
 Strategic mindset with execution focus.
 </li>
 <li>
 Ability to manage multiple initiatives in a fast-paced environment.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Educational &amp; Other Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Data Science, Computer Science, Statistics, Engineering, or related field
 
 .
 </li>
 <li>
 
 7&ndash;10 years of experience
 
 in data science, advanced analytics, or AI roles, preferably within
 
 banking or financial services
 
 .
 </li>
 <li>
 Strong exposure to
 
 banking/NBFC domains
 
 (Cards, Loans, SME, Digital Channels, Risk, Marketing).
 </li>
 <li>
 Experience working with
 
 cloud platforms
 
 (AWS, Azure, GCP) and big-data ecosystems.
 </li>
 <li>
 Exposure to
 
 data
 
 &amp;
 
 risk models, and regulatory environments
 
 is a strong advantage.
 </li>
 </ul>
 
 
</div>

Digital Data Scientist

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