analytics team lead

Kenvue

<div><div><div><div><div><div><div><div>Kenvue is currently recruiting for a:</div></div></div></div></div></div></div>
Analytics Team Lead
What we do
At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we&rsquo;re the house of iconic brands - including NEUTROGENA&reg;, AVEENO&reg;, TYLENOL&reg;, LISTERINE&reg;, JOHNSON&rsquo;S&reg; and BAND-AID&reg; that you already know and love. Science is our passion; care is our talent.
Who We Are
Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage &ndash; and have brilliant opportunities waiting for you! Join us in shaping our future&ndash;and yours.
Role reports to:
Manager Customer Logistics
Location:
North America, United States, Arkansas, Rogers
Work Location:
Hybrid
What you will do
Kenvue touches more than a billion people&rsquo;s lives every single day through our health care products and services, our corporate giving, and the volunteer efforts of our employees. Kenvue develops and market beloved brands that address the needs of consumers and health care professionals worldwide. Our portfolio ranges across several distinct business units: Baby Care, Oral Care, Compromised Skin Care, Beauty, Feminine Care, and OTC products.
Kenvue&rsquo;s Deliver Group is part of Kenvue global Supply Chain organization supporting operations across all Kenvue. Deliver strives to deliver an outstanding customer experience through leading critical customer-facing-functions such as customer service, distribution, and transportation. In addition, Deliver oversees critical business enablers, including how we gather and handle supply chain master data, safe and secure supply chain practices, product identification standards, and market/channel access capabilities.
As the Advanced Analytics Lead, you will provide technical support for the data and analysis infrastructure used within the customer logistics functions for key customers such as Walmart by using existing toolsets in Power BI, and Snowflake. You will also hold a leadership role in Kenvue&rsquo;s analytics&rsquo; strategy road map by partnering with Supply Chain and Logistics Strategy and Analytics organizations within Kenvue to develop a keen understanding of the retail supply chain business environment/CPFR to craft solutions that meet team&rsquo;s needs.<h2 class="jobSectionHeader">
Key Responsibilities:</h2><ul><li>
Provide technical support for the data and analysis infrastructure used within the customer logistics and planning functions for the Walmart customer team, applying and building sophisticated data models to support the needs of the business</li><li>
Build new dashboards in Power BI to streamline the CPFR team day-to-day activities and provide new capabilities</li><li>
Maintain existing toolset in Power BI and adapt current capabilities to fit changes in process and data structure</li><li>
Build new tools to take on business challenges using newly-available data sets</li><li>
Develop a keen understanding of the retail supply chain business environment/CPFR to craft solutions that meet users' needs</li><li>
Work to understand the processes of other retailers and scale tools to other customer facing teams where possible</li><li>
Continue to develop the analytics roadmap, define key breakthroughs, prioritize work and provide timely updates to all partners</li><li>
Work with external customers and partners to examine best in class solutions while minimizing cost to serve</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
A minimum of a Bachelor's degree required; advanced degree or focused degree in Supply Chain, Information Technology, Engineering, Computer Science, or Mathematics preferred</li><li>
Minimum six (6) years of related experience required</li><li>
Proven analytical skills and the ability to effectively communicate, present and influence both verbally and written is required</li><li>
Experience with data visualization tools required; Power BI preferred</li><li>
Experience crafting and writing queries using SQL preferred</li><li>
ERP experience, such as SAP or JDE preferred</li><li>
Familiarity with Retail-Link and Scintilla data platform is preferred</li><li>
Advanced knowledge of Microsoft Excel, including VLOOKUPS &amp; Pivot Tables is required</li><li>
Ability to quickly merge and summarize data/information from different sources, including experience preferred in data management, cleaning, and analysis</li><li>
Experience preferred with Azure data architecture, ETL and Data Science tools such as ADLS, Databricks, Data Factory</li><li>
Python, SQL or other data science and automation programming language preferred</li><li>
Ability to work in a matrix environment with constantly evolving priorities and tight due dates</li><li>
This position may require up to 10% domestic travel</li></ul><h2 class="jobSectionHeader">
Relocation assistance available for qualified candidate</h2>
Kenvue is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability. 
What&rsquo;s in it for you<div><div><div><div><div><div><div>
Annual base salary for new hires in this position ranges:</div></div></div></div></div></div></div>
$110,500.00 - $156,000.00
This takes into account a number of factors including work location, the candidate&rsquo;s skills, experience, education level &amp; other job-related factors.<div><ul><li>
Competitive Benefit Package*</li><li>
Paid Company Holidays, Paid Vacation, Volunteer Time &amp; More!</li><li>
Learning &amp; Development Opportunities</li><li>
Kenvuer Impact Networks</li><li>
This list could vary based on location/region</li></ul><ul><li>Note: Total Rewards at Kenvue include salary, bonus (if applicable) and benefits. Your Talent Access Partner will be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the recruitment &amp; hiring process.</li></ul></div>
Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment based on merit without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.<div><div><div><div><div><div><div>
If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.</div></div></div></div></div></div></div></div>

Analytics Team Lead

Shell Deutschland GmbH

<div>, India 
 
Job Family Group:
Information Technology (IT) 
 
Worker Type:
Regular 
 
Posting Start Date:
November 18, 2025 
 
Business unit: 
 
Experience Level:
Experienced Professionals 
 
Job Description:
What&rsquo;s the role
We&rsquo;re scaling decision intelligence for Non&#8209;Fuel Retail (NFR) across priority market clusters (CEE, DACH, UK, Benefrux). The Team Lead will turn ambiguous business problems into structured analytical work, raise the bar on visualization and data storytelling, and coach a team of 7&ndash;8 to deliver consistently high&#8209;quality insights and BI products that land with business impact.
What you&rsquo;ll be doing
<ul><li>Partner with business stakeholders to decompose complex problems into analytical hypotheses and workstreams, selecting the right approaches (descriptive, diagnostic, Inquisitive, prescriptive where relevant) and setting crisp success measures.
</li><li>Translate requirements into solution blueprints spanning data sources, semantic models, and visualization patterns; sequence delivery into iterative increments with clear acceptance criteria.
</li><li>Set visualization standards and coach the team on when/what/how to use bar/line, small multiples, trellis, Pareto, cumulative, funnels, waterfall, variance/bullet, decomposition trees, KPIs, and geospatial components to tell the story of business metrics and drivers.
</li><li>Curate executive&#8209;ready narratives and PPT storytelling&mdash;balancing clarity, candor, and evidence.
</li><li>Manage capacity, performance, and growth: objective&#8209;setting, regular 1:1s, coaching plans, and skills roadmaps; foster a high&#8209;trust, feedback&#8209;rich culture.
</li><li>Guide peer reviews, code/design walkthroughs, and ensure robust documentation and knowledge sharing.
</li><li>Own the backlog and release plan for your portfolio; ensure on&#8209;time, first&#8209;time&#8209;right delivery.
</li><li>Institutionalize QC/QA gates (requirements, data profiling, peer review, functional testing, accessibility checks, performance checks) and measurable Defect Leakage/Rework thresholds.
</li><li>Ensure no redundancy of work. Focus on re-use what is available from Global teams
</li><li>Orchestrate across multiple senior stakeholders (global/category leads, market teams in CEE/DACH/UK/Benelux, Product/IDT) and navigate tough conversations (trade&#8209;offs, scope, value realization).
</li><li>Run an engagement rhythm (SteerCo updates, demos, show&#8209;and&#8209;tells) and maintain a transparent meeting log.
</li><li>Provide hands&#8209;on guidance and review across:
<ul><li>Power BI (data modeling with star schema, DAX, Power Query/M, RLS, app deployment &amp; workspace hygiene)
</li><li>Databricks (PySpark/SQL, Delta, job orchestration, MLflow where applicable)
</li><li>SQL (T&#8209;SQL/ANSI; query design, performance tuning, data validation)
</li><li>GenAI &ndash; Ensuring all Dashboards are AI ready
</li></ul></li><li>Ensure platform governance and data privacy guardrails are met.
</li><li>Define a continuous improvement roadmap (visual standards, reusable semantic models, Code standardization, Dashboard Standardization) and drive adoption.
</li><li>Benchmark against internal and external best practices to progress team capability and impact.
</li><li>Knowledge of NFR business is a must &mdash;category performance, pricing &amp; promos, compliance, and partner/alliance analytics&mdash;with deep familiarity across CEE, DACH, UK, and BeneFrlux market nuances.
</li></ul>What you bring
<ul><li>8&ndash;12 years in Analytics/BI, Retail Analytics with 2+ years leading a team of ~7&ndash;8 or ability to demonstrate a similar TL experience.
</li><li>Preferred background in Retail, CPG, or E-commerce.
</li><li>Deep understanding of Retail/CPG KPIs, benchmarking, A/B testing, hypothesis testing, and pre-post analysis.
</li><li>Experience in Retail and store-level analytics.
</li><li>Demonstrated mastery in breaking down business problems and proposing analytical solutions that land with impact.
</li><li>Visualization &amp; data storytelling craft: selecting the right visual grammar; compelling executive narratives; excellent PPT skills.
</li><li>Power BI (advanced): DAX, Power Query, composite models, RLS, lineage/impact analysis, app lifecycle.
</li><li>Databricks (strong): PySpark/SQL, Delta Lake, jobs &amp; clusters, dev test prod patterns.
</li><li>SQL expertise: data modeling, performance tuning, complex transformations, data quality checks.
</li><li>Stakeholder management across senior levels; confident in difficult conversations and conflict resolution.
</li><li>Track record of quality&#8209;first delivery with measurable standards and peer&#8209;review discipline.
</li><li>NFR business fluency: understands commercial levers (category/price/promo/space/loyalty) and market&#8209;specific dynamics across CEE, DACH, UK, Benelux.
</li></ul>What we offer
You bring your skills and experience to Shell and in return you work with talented, committed people on one of the most important challenges facing our planet. You&rsquo;ll have the opportunity to develop the skills you need to grow in an environment where we value honesty, integrity, and respect for one another. You&rsquo;ll be able to balance your priorities as you become the best version of yourself.
<ul><li>Progress as a person as we work on the energy transition together.
</li><li>Continuously grow the transferable skills you need to get ahead.
</li><li>Work at the forefront of technology, trends, and practices.
</li><li>Collaborate with experienced colleagues with unique expertise.
</li><li>Achieve your balance in a values-led culture that encourages you to be the best version of yourself.
</li><li>Join an organisation working to become one of the most diverse and inclusive in the world. We strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientation, and life experiences to apply.
</li><li>Grow as you progress through diverse career opportunities in national and
</li><li>international teams.
</li><li>Gain access to a wide range of training and development programmes.
</li></ul>An Inclusive &amp; Progressive Place to Work
<ul><li>To power progress together, we need to attract and develop the brightest minds and make sure every voice is heard. Here are just some of the ways we&rsquo;re nurturing an inclusive environment &ndash; one where you can express your ideas, extend your skills, and reach your potential.
</li><li>We&rsquo;re creating a space where people with disabilities can excel through transparent recruitment process, workplace adjustments and ongoing support in their roles. Feel free to let us know about your circumstances when you apply, and we&rsquo;ll take it from there.
</li><li>We&rsquo;re closing the gender gap &ndash; whether that&rsquo;s through action on equal pay or by enabling more women to reach senior roles in engineering and technology.
</li><li>We&rsquo;re striving to be a pioneer of an inclusive and diverse workplace, promoting equality for employees regardless of sexual orientation or gender identity.
</li></ul>Shell in India
Shell is a diversified energy company in India with 13,000 employees, and presence in Integrated Gas, Downstream, Power, Renewable and Upstream. Additionally, we have deep capabilities in R&amp;D, digitalisation, and business operations.
Our global strategy, Powering Progress, is designed to generate value for our shareholders, customers, and the wider society, and focuses on creating more value with less emissions. The strategy supports our purpose of providing more and cleaner energy solutions, with the aim of profitably transforming Shell into a net-zero emissions energy business by 2050. As India moves towards its target of net-zero emissions by 2070, Shell India aims to play a leading role in securing vital energy for today, while investing in, and helping to build, the energy system of the future through strategic investments in the country.
Our Lubricants business serves over 50,000 consumers through a strong network of over 200 distributors, and operates an end-to-end value chain that spans conceptualization, development, and production at a world-class blending plant at Taloja. Through our 350-plus retail stations, we offer an integrated mobility experience including fuels, cafes, and convenience stores, with a prominent network of EV recharging facilities.
Shell owns and operates a LNG re-gasification terminal at Hazira, Surat, with a capacity of 5 MTPA and a LNG truck-loading unit that plays a crucial role in helping meet India&rsquo;s growing demand for gas across sectors. In 2022, Shell acquired Sprng Energy in a $1.55 billion deal to build an integrated energy transition business in the country. Sprng is a leading renewable energy company in India which develops and manages solar, wind, and hybrid power generation facilities and infrastructure.
Our three capability centres across Bangalore and Chennai serve as a technology and innovation powerhouse for Shell globally, working as a delivery engine for core technical, digital, and finance processes: pioneering digital innovation and cutting-edge technologies across the energy sector. We also have strong academic partnerships and collaborations with leading universities and technology institutes to accelerate decarbonization efforts within the energy sector.
We are committed to positively contributing to the communities in which we operate through programmes on STEM Education, Skilling, and Livelihood across India. We nurture and invest in startups developing initiatives focused on accelerating energy innovation through programs such as Shell E4 and Shell Eco-marathon. We also have strategic investments in new energy companies such as Husk Power, d.light, Orb Energy, and Cleantech Solar.
<ul><li>- 
</li></ul> 
DISCLAIMER:
Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Shell/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.</div>

Data Analytics Team Lead

Axion

<div>About AxionRay
Axion Ray&rsquo;s mission is to improve the quality and safety of engineered products - airplanes, electric vehicles, and medical devices, by creating the world&rsquo;s best proactive management platform, powered by the latest advances in artificial intelligence. We're revolutionizing the way next-gen vehicles are made and are partnering with forward-looking engineering leaders to create and deploy AI models that will accelerate our speed to an electric and supersonic future. Axion leverages bleeding-edge tech &amp; AI stack - including Generative AI and NLP/LLMs - to solve real-world problems. 
Our team includes experts in Enterprise AI from Palantir, McKinsey &amp; QuantumBlack, and other top tech companies. 
Since our founding at the onset of 2021, we&rsquo;ve deployed across some of the largest Automotive and Aerospace companies in the world. If you want the chance to help build the future of engineering, join us! 
What you will do:<h3 class="jobSectionHeader">
Business &amp; Product Alignment</h3><ul><li>
Partner with business/product stakeholders to translate initiatives into clear analytics scope.</li><li>
Understand manufacturing data from clients, and devise strategies to solve pain points and add business value.</li></ul><h3 class="jobSectionHeader">
Project Management &amp; Problem Solving</h3><ul><li>
Own End to End project delivery through effective prioritization, resource allocation, timeline management and stakeholder communication.</li><li>
Unblock and mentor analytics teams using technical expertise in the Analytics, ML, LLM and related field.</li><li>
Lead the topic collaborations with the Engineering/product/Data Science team for better solutions and their implementation for efficient project delivery.</li><li>
Expert in data story building based on data driven insights and solutions.</li><li>
Ensure solutions are complete and aligned with objectives via stand-ups and iterative course corrections.</li></ul><h3 class="jobSectionHeader">
Team Management</h3><ul><li>
Lead and mentor team of analysts. Conduct regular 1:1s, provide actionable feedback, and ensure team welfare.</li><li>
Plan long-term talent needs and collaborate with hiring to build a high-performing team.</li></ul>
Who you are:<ul><li>
Experience of minimum 1- 4 years, working with renowned manufacturing/ Aerospace/Consumer/Automotive and product company or startups</li><li>
Techstack/Tools : Python, Excel, SQL, ML, NLP, LLM and related fields</li><li>
Experience managing a team of data analysts end-to-end including onboarding to performance management cycle</li><li>
Can understand business objectives/requirements and deliver through actionable insights and data storytelling using technical/domain expertise</li><li>
Entrepreneurial and driven. Excited to be part of a fast-growing SaaS company, set high standards, and deliver world-class results, demonstrating flexibility and adaptability as needed in a startup environment.</li><li>
Excellent written and verbal communication skills.</li><li>
Experience with a startup.
Location - Hybrid ( Bengaluru )</li></ul>
Axion Ray is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity, or any other factor protected by applicable federal, state, or local laws. 
Axion Ray does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with Axion Ray</div>

Lead/ Manager Analytics

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Lead Product Analytics team across multiple domains within the EA ecosystem, distributed across the globe collaborating with cross-functional teams on multiple subdomains.
 </li>
 <li>
 Develop strategy to leverage data analysis and visualization as a strategic competitive advantage to Careem.
 </li>
 <li>
 Growing and coaching the analysts to be storytellers of data, giving it a voice and a high signal actionable narrative.
 </li>
 <li>
 Collaborate and influence leadership to allow the Product Analytics team&rsquo;s work to directly impact the organization&rsquo;s strategy.
 </li>
 <li>
 Partner with senior business leaders and partners to manage project intake, pipeline, prioritize, and manage staffing against key initiatives.
 </li>
 <li>
 Execute on Product strategy, planning and execution through actionable data insights and data driven concepts.
 </li>
 <li>
 Define, instrument, and maintain new and existing business critical metrics, using SQL queries and beyond.
 </li>
 <li>
 Serve as a strategic thought partner to the data engineering team; collaborate on building / maintaining ETLs, pipelines and automations to ensure we can understand and act on business performance accurately, scalably, with low latency, and minimal manual upkeep.
 </li>
 <li>
 Run experiments and develop dashboards and data visualizations to communicate results to leadership. Provide rigorous technical mentorship to the team.
 </li>
 <li>
 Ensure data quality by monitoring performance, diagnosing issues, and creating solutions.
 </li>
 <li>
 Answer complex business questions via ad-hoc SQL queries to enable business and product owners to make critical decisions.
 
 
 </li>
 </ul>
 
 What You'll Need
 
 
 
 <ul>
 <li>
 Advanced degree in a quantitative discipline (Engineering, Computer Science, Economics, Data Science, Mathematics).
 </li>
 <li>
 10+ years of professional full-time experience in analytics roles, preferably in tech.
 </li>
 <li>
 5+ years of experience directly managing analytical teams.
 </li>
 <li>
 Strong command of SQL, Python and R, and experience working with large datasets.
 </li>
 <li>
 Comfortable working in a fast-paced, cross-functional environment with changing priorities.
 </li>
 <li>
 Experience building intuitive and impactful dashboards and data visualizations that drive business decisions (using Tableau, Power BI, etc.)
 </li>
 <li>
 Project management skills- ability to drive projects end-to-end.
 </li>
 <li>
 Communication and stakeholder management skills - Ability to build consensus by clearly communicating and presenting information.
 </li>
 <li>
 Teamwork - You care about your team and are passionate about helping them succeed, you love going heads down in SQL, but can also take a step back and understand the big picture.
 </li>
 <li>
 Strong experience in setting up, managing, and growing an analytics team.
 </li>
 <li>
 Strong track record in delivering high impact from data through leading multiple cross-functional projects.
 </li>
 <li>
 Track record of shipping new products and iterating on them over time.
 </li>
 <li>
 Track record of attracting and retaining top talent.
 </li>
 <li>
 Experience instilling a culture of ownership, collaboration, and results.
 </li>
 <li>
 Strong leadership and communication skills, critical thinking, and judgement.
 </li>
 </ul>
</div>

Product Analytics Manager

Dentsu

<div>The purpose of this role is to lead and manage Research and Survey Analytics customer analysis deep dives, execute the strategies outlined by senior leadership, and manage the day-to-day communication with clients.<div></div><div>
Job Description:</div><div>
Key responsibilities: 
Contribute towards developing the business strategy of the service line/function. Builds, runs, reviews and improves processes and systems to ensure business objectives are met / surpassed. Actions and implements various strategic initiatives such as quality improvement/measurement, automation etc. 
Develop and proactively review and tune the team structure to meet / exceed business objectives 
 
Ensures current service offerings are continuously upgraded with innovative solutions that are market oriented and enable the function to continuously climb the value chain. Stays abreast of relevant competitor information and share it with the corporate planning team and other teams as applicable 
Undertakes necessary preparation for client reviews or support the Functional head in preparation for client reviews. Is proactive and systematic to avoid client escalations / issues and promptly resolve and/or appropriately channel any escalations. Leads or assists in developing proposals, requisite services or solutions to increase business from existing clients in conjunction with the account manager. Maintains sustainable and trustworthy relations in the client organisation 
Develops and coaches team members.</div><div></div><div>
Location:</div>
DGS India - Mumbai - Thane Ashar IT Park<div></div><div>
Brand:</div>
Merkle<div></div><div>
Time Type:</div>
Full time<div></div><div>
Contract Type:</div>
Permanent</div>

Lead Research Analyst

Citco

<div>Citco Bank is seeking an experienced Data Scientist to lead our growing analytics team. The ideal candidate will combine strong technical expertise, business acumen, and proven management experience to develop and implement sophisticated machine learning models and data-driven solutions. This role will be crucial in driving data-based decision-making across our banking and financial services operations working closely with cross-functional teams to deliver actionable insights and innovative solutions.</div>
 <div><ul><li>Lead the development and implementation of advanced machine learning models and statistical analyses to solve complex business problems
</li><li>Collaborate with business stakeholders to understand requirements and translate them into analytical solutions
</li><li>Manage a team of business intelligence experts
</li><li>Work closely together with the technology teams in implementing new techniques into the Citco Bank environments
</li><li>Develop predictive models for risk assessment, fraud detection, customer behavior analysis or forecasting
</li><li>Create and maintain detailed documentation of methodologies, models, and processes
</li><li>Design and build scalable data pipelines and ETL workflows
</li><li>Present findings and recommendations to senior management and stakeholders
</li><li>Monitor model performance and implement improvements as needed
</li><li>Ensure compliance with banking regulations and data governance policies</li></ul></div>
 <div>Education:
<ul><li>Master's degree or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or related field
</li><li>Professional certifications in relevant technologies or methodologies are a plus
</li></ul>Experience:
<ul><li>10+ years of experience in data science, with at least 4 years in the banking/financial services sector
</li><li>Proven track record of successfully implemented machine learning models in production
</li><li>Minimum 3 years of experience managing and leading data science teams
</li><li>Demonstrated experience in building and developing high-performing teams
</li></ul>Technical Skills:
<ul><li>Advanced knowledge of machine learning algorithms and statistical modeling
</li><li>Strong expertise in Python, R, or similar programming languages
</li><li>Proficiency in SQL and experience with big data technologies (Hadoop, Spark, Databricks)
</li><li>Experience with deep learning frameworks
</li><li>Knowledge of cloud platforms (AWS, Azure, or GCP)
</li><li>Expertise in data visualization tools (Tableau, Power BI, Qlik)
</li><li>Strong understanding of version control systems (Git)
</li><li>Experience with MLOps and model deployments
</li></ul>Business Skills:
<ul><li>Proven people management and leadership abilities
</li><li>Experience in resource planning and team capacity management
</li><li>Excellent problem-solving and analytical thinking abilities
</li><li>Strong communication and presentation skills
</li><li>Ability to translate complex technical concepts to non-technical stakeholders
</li><li>Experience in agile development methodologies
</li><li>Understanding of banking and financial services domain
</li></ul>Domain Knowledge:
<ul><li>Understanding of risk management, compliance, products and regulatory requirements in banking
</li><li>Knowledge of financial markets and instruments is a plus</li></ul></div>

Sr. Vice President - Data Scientist

EIX Consulting

<div>
 
 About the Role
 
 
 We are looking for an experienced and visionary Head of Data Analytics to lead the strategic direction, execution, and optimization of ALFIT Insurance&rsquo;s data analytics capabilities. This leadership role is responsible for designing and operationalizing a data-driven ecosystem that supports business performance across all our lines of business &mdash; Health, Life, Marine, Aviation, and General Insurance.
 
 
 
 
 
 Reporting directly to the COO, you will oversee the entire data value chain &mdash; from engineering to advanced analytics &mdash; and shape a data-centric culture that drives growth, compliance, and customer value.
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 Strategy &amp; Leadership:
 
 
 - Define and lead the enterprise-wide data analytics strategy and roadmap.
 
 
 - Drive organizational data literacy and embed analytics into operational, underwriting, and executive decision-making.
 
 
 - Lead cross-functional collaboration to implement scalable data solutions and foster a high-performing data culture.
 
 
 
 
 
 Data Engineering &amp; Infrastructure:
 
 
 - Architect and scale data platforms (data lakes, warehouses, real-time pipelines).
 
 
 - Oversee integration of internal systems and external feeds (TPAs, reinsurers, brokers).
 
 
 - Ensure robust, secure, and cloud-based data infrastructure in coordination with IT and vendors.
 
 
 
 
 
 Business Intelligence &amp; Reporting:
 
 
 - Deliver dashboards, KPIs, and performance analytics across the enterprise.
 
 
 - Lead regulatory reporting efforts (DHA, DOH, CBUAE) in collaboration with Finance &amp; Compliance.
 
 
 - Enable self-service BI tools and frameworks for all business units.
 
 
 
 
 
 Data Governance &amp; Compliance:
 
 
 - Implement data governance frameworks and ensure compliance with UAE regulations and applicable global standards (e.g., GDPR).
 
 
 - Manage data quality, ownership, privacy, and access protocols across the organization.
 
 
 
 
 
 Data Science &amp; Advanced Analytics:
 
 
 - Build predictive and prescriptive analytics capabilities.
 
 
 - Lead initiatives in fraud detection, customer segmentation, risk assessment, and underwriting models.
 
 
 - Enrich internal data with third-party and behavioral datasets.
 
 
 
 
 
 Team Management &amp; Operational Readiness:
 
 
 - Recruit, train, mentor, and lead a multidisciplinary data analytics team.
 
 
 - Establish SOPs, training modules, and quality assurance mechanisms.
 
 
 - Deputize for the COO when required and contribute to company-wide operational readiness.
 
 
 
 
 
 Key Stakeholders:
 
 
 - Internal: Executive leadership, IT, Sales, Legal, Finance, Compliance, and Operational teams.
 
 
 - External: Reinsurers, Brokers, IT Vendors, Clients, and Government Entities.
 
 
 
 
 
 Decision-Making &amp; Authority:
 
 
 - Financial and operational decisions as per the Board-approved Authority Matrix.
 
 
 - Strategic input and execution subject to COO oversight.
 
 
 
 Requirements:
 
 
 
 - Bachelor&rsquo;s degree in Data Science, Engineering, Finance, Statistics, or Computer Science.
 
 
 - 5&ndash;7 years in a data leadership role, ideally in UAE insurance or regulated financial services.
 
 
 - Expertise in SQL, Power BI/Tableau, ETL, and data architecture.
 
 
 - Deep understanding of insurance data models and regulatory frameworks in the UAE.
 
 
 - Strong leadership, problem-solving, stakeholder engagement, and communication skills.
 
 
 - Fluency in English (Arabic is a plus).
 
 
 - Hands-on experience with AI and machine learning tools is an advantage.
 
 
 - Passion for innovation and operational excellence.
 
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Head of Data Analytics

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