Unilever Brazil
Overview JOB TITLE: Data Governance Lead LOCATION: 100VE WORK LEVEL: WL2B INTRODUCTION In today's digital and AI-driven world, data is the backbone of our Social First agenda-fuelling insights, personalisation, and growth while meeting rising consumer expectations for transparency and trust. As regulations tighten and data-driven ambitions expand, we need a visionary Data Governance Lead to safeguard, manage, and maximize the value of consumer and employee data. This role will ensure accuracy, security, and compliance, enabling markets to deliver meaningful engagement at scale. ABOUT THE ROLE The Data Governance Lead will be responsible for driving our Consumer and Employee Data Governance and Excellence Programme, ensuring that the functions meet standards on data collection, quality, privacy, sharing, storage, and retention. The ideal candidate will possess a knowledge of data-related challenges in a marketing and HR context, including data collection, consent and preferences management, data storage, sharing, data marketing, and retention. They will work with data, markets, technology teams, and legal teams to ensure that data governance standards are implemented to the highest level in local markets. Role Responsibilities Data Compliance (30%) Ensure that the market is able to collect and use rich, relevant, and legally compliant data for marketing and HR. This includes aligning data collection practices with our Social First agenda to enhance consumer engagement and personalisation. Act as the conduit between Global Data Governance, Global Privacy Legal, and local Privacy teams to ensure that global standards are deployed within marketing processes, technology ecosystems, and third-party processing activities. Develop and update privacy and governance controls, including specific controls required to protect data from accidental or deliberate misuse. Analyse upcoming regulations with global and local privacy teams and legal teams to determine the risk-assessed position for compliance. Conduct data audits and prepare compliance reports to ensure adherence to regulatory requirements. Develop end-to-end data maps which provide full transparency and visualisation of the data lifecycle in marketing and HR. Catalogue, monitor, and identify essential data assets. Data Management and Quality Improvement (30%) Lead organisation wide data quality initiatives by identifying improvement opportunities, making actionable recommendations, and continuously monitoring and auditing data systems to ensure accuracy, completeness, and compliance with organisational and regulatory standards. Drive the development of best practice data frameworks to capture clean, structured, and more insightful data. Regulate, assess, and support the onboarding of third parties and set standards on how data is shared, co-owned, and deleted with third parties. Frontline Data and AI Governance, Awareness, Best Practices & Data Maturity (40%) Support the completion of the annual data governance maturity programme for key EU markets. Define clear data and AI ownership roles, clarifying responsibilities of data custodians, processors, analysts, advisors, users, and third-party providers. Promote responsible AI practices, including transparency, fairness, and bias mitigation in data-driven marketing. Conduct regular training programmes and workshops with marketers to improve capabilities for collecting and using consumer data and introduce AI literacy sessions to ensure ethical and compliant AI adoption. Manage the organisation and administration of the Data Governance Board, expanding its remit to include AI oversight. Key Skills and Experience Experience: Proven experience working in digital and data driven marketing and HR functions. Technical Skills: Proficiency in data governance, data quality and metadata management, data integration, and data architecture. Strong understanding of consumer data and technologies used in data driven marketing. Data Skills: Solid knowledge of data collection, consent and preference management, storage, sharing, retention, and data marketing. Ability to identify data quality improvements, optimise data value and safety, and apply data modelling, data standards, and master data management. Compliance Skills: Expertise in data frameworks, privacy controls, and regulatory compliance including GDPR, e Privacy, and the EU AI Act. Management Skills: Ability to lead cross functional teams, manage projects, and drive data governance initiatives. Collaboration & Networking: Strong interpersonal skills to work effectively with global and local teams across marketing, IT, legal, and privacy. Communication & Documentation: Excellent written and verbal skills to draft governance and privacy controls, and clearly articulate data governance strategies. European Context: Good understanding of European data privacy requirements and adapting global standards locally. Stakeholder Engagement: Ability to communicate insights to technical and non technical stakeholders, advocate for better data practices, and facilitate multidisciplinary discussions. What we offer Whilst the role is advertised on a full-time basis, we would be happy to discuss possible flexible working options and what this may look like for you. We strive to achieve a family-friendly and inclusive workplace and to, above all, create possibilities for all. Diversity at Unilever is about inclusion, embracing differences, creating possibilities and growing together for better business performance. We embrace diversity in our workforce. This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.We are also more than happy to provide reasonable adjustments during our application and interview process to enable you to be present your best self. To find out more, including about our Employee Resource Groups, please note: Equity, Diversity & Inclusion (). Location In June 2020 we announced our plan to consolidate a number of Unilever's offices across the South East of England into a new Unilever campus in Kingston-upon-Thames in or around early 2025. However, on the 08 August 2024 we announced to our existing staff our proposal to retain our central Head Office in London, 100 Victoria Embankment ("100VE") until our lease expires in 2027. As a result of this new proposal, we will be consulting with our existing staff, and new joiners who join during this period of consultation at 100VE, on the proposal made in August 2024. During consultation we will clarify the future location of each team and function. This means your role will either be based in 100VE until 2027 or in Kingston-Upon-Thames from early 2025. As we are yet to commence consultation on the proposal you agree, until such a time when consultation has concluded, your normal place of work as set out in the enclosed Statement of Terms & Conditions will be 100VE. You agree that on the conclusion of the consultation your place of work will be 100VE or 100VE until early 2025 and then Kingston-upon-Thames ("the locations") and you will be notified of which of the locations will be your place of work after that consultation ends.
Overview JOB TITLE: Data Governance Lead LOCATION: 100VE WORK LEVEL: WL2B INTRODUCTION In today's digital and AI-driven world, data is the backbone of our Social First agenda-fuelling insights, personalisation, and growth while meeting rising consumer expectations for transparency and trust. As regulations tighten and data-driven ambitions expand, we need a visionary Data Governance Lead to safeguard, manage, and maximize the value of consumer and employee data. This role will ensure accuracy, security, and compliance, enabling markets to deliver meaningful engagement at scale. ABOUT THE ROLE The Data Governance Lead will be responsible for driving our Consumer and Employee Data Governance and Excellence Programme, ensuring that the functions meet standards on data collection, quality, privacy, sharing, storage, and retention. The ideal candidate will possess a knowledge of data-related challenges in a marketing and HR context, including data collection, consent and preferences management, data storage, sharing, data marketing, and retention. They will work with data, markets, technology teams, and legal teams to ensure that data governance standards are implemented to the highest level in local markets. Role Responsibilities Data Compliance (30%) Ensure that the market is able to collect and use rich, relevant, and legally compliant data for marketing and HR. This includes aligning data collection practices with our Social First agenda to enhance consumer engagement and personalisation. Act as the conduit between Global Data Governance, Global Privacy Legal, and local Privacy teams to ensure that global standards are deployed within marketing processes, technology ecosystems, and third-party processing activities. Develop and update privacy and governance controls, including specific controls required to protect data from accidental or deliberate misuse. Analyse upcoming regulations with global and local privacy teams and legal teams to determine the risk-assessed position for compliance. Conduct data audits and prepare compliance reports to ensure adherence to regulatory requirements. Develop end-to-end data maps which provide full transparency and visualisation of the data lifecycle in marketing and HR. Catalogue, monitor, and identify essential data assets. Data Management and Quality Improvement (30%) Lead organisation wide data quality initiatives by identifying improvement opportunities, making actionable recommendations, and continuously monitoring and auditing data systems to ensure accuracy, completeness, and compliance with organisational and regulatory standards. Drive the development of best practice data frameworks to capture clean, structured, and more insightful data. Regulate, assess, and support the onboarding of third parties and set standards on how data is shared, co-owned, and deleted with third parties. Frontline Data and AI Governance, Awareness, Best Practices & Data Maturity (40%) Support the completion of the annual data governance maturity programme for key EU markets. Define clear data and AI ownership roles, clarifying responsibilities of data custodians, processors, analysts, advisors, users, and third-party providers. Promote responsible AI practices, including transparency, fairness, and bias mitigation in data-driven marketing. Conduct regular training programmes and workshops with marketers to improve capabilities for collecting and using consumer data and introduce AI literacy sessions to ensure ethical and compliant AI adoption. Manage the organisation and administration of the Data Governance Board, expanding its remit to include AI oversight. Key Skills and Experience Experience: Proven experience working in digital and data driven marketing and HR functions. Technical Skills: Proficiency in data governance, data quality and metadata management, data integration, and data architecture. Strong understanding of consumer data and technologies used in data driven marketing. Data Skills: Solid knowledge of data collection, consent and preference management, storage, sharing, retention, and data marketing. Ability to identify data quality improvements, optimise data value and safety, and apply data modelling, data standards, and master data management. Compliance Skills: Expertise in data frameworks, privacy controls, and regulatory compliance including GDPR, e Privacy, and the EU AI Act. Management Skills: Ability to lead cross functional teams, manage projects, and drive data governance initiatives. Collaboration & Networking: Strong interpersonal skills to work effectively with global and local teams across marketing, IT, legal, and privacy. Communication & Documentation: Excellent written and verbal skills to draft governance and privacy controls, and clearly articulate data governance strategies. European Context: Good understanding of European data privacy requirements and adapting global standards locally. Stakeholder Engagement: Ability to communicate insights to technical and non technical stakeholders, advocate for better data practices, and facilitate multidisciplinary discussions. What we offer Whilst the role is advertised on a full-time basis, we would be happy to discuss possible flexible working options and what this may look like for you. We strive to achieve a family-friendly and inclusive workplace and to, above all, create possibilities for all. Diversity at Unilever is about inclusion, embracing differences, creating possibilities and growing together for better business performance. We embrace diversity in our workforce. This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.We are also more than happy to provide reasonable adjustments during our application and interview process to enable you to be present your best self. To find out more, including about our Employee Resource Groups, please note: Equity, Diversity & Inclusion (). Location In June 2020 we announced our plan to consolidate a number of Unilever's offices across the South East of England into a new Unilever campus in Kingston-upon-Thames in or around early 2025. However, on the 08 August 2024 we announced to our existing staff our proposal to retain our central Head Office in London, 100 Victoria Embankment ("100VE") until our lease expires in 2027. As a result of this new proposal, we will be consulting with our existing staff, and new joiners who join during this period of consultation at 100VE, on the proposal made in August 2024. During consultation we will clarify the future location of each team and function. This means your role will either be based in 100VE until 2027 or in Kingston-Upon-Thames from early 2025. As we are yet to commence consultation on the proposal you agree, until such a time when consultation has concluded, your normal place of work as set out in the enclosed Statement of Terms & Conditions will be 100VE. You agree that on the conclusion of the consultation your place of work will be 100VE or 100VE until early 2025 and then Kingston-upon-Thames ("the locations") and you will be notified of which of the locations will be your place of work after that consultation ends.
Unilever Brazil
Kingston Upon Thames, Surrey
Product Delivery Manager Location: Kingston or 100VE office Full-time: Hybrid working - 2 days per week in the office Purpose of the role The Data Foundation XOps Manager role is a key & pivotal link between the Data Foundation and the respective Product Domain team(s) within the organisation (Customer). The XOps Manager will be responsible for delivering the solution end to end, starting from Data to ML / Data science solution to frontend UI/UX. With a focus on delivering tailored data and analytics solutions, the XOps Manager collaborates closely with Product Owners to understand their specific needs and requirements co-creating the data and analytics roadmap of delivery and operations for that business domain. This role involves coordinating and managing talent across the Data Foundation XOps team, including data & solution architects, data SMEs, data scientists and vendor partners. KPIs of the role includes efficient prioritization on domain specific tech delivery, cost and speed of delivery as well as resilience and cyber security compliance KPIs. Background on sales account Unilever Food Solutions (UFS) has traditionally been using account managers to engage with chefs of food serving establishments (restaurants, hotels, caterings, etc.). In recent years, the role of digital channels has significantly increased; using the right combination of both off- and online touchpoints has become essential in creating the perfect customer journey. The focus of UFS marketing and sales is to engage chefs with our platform and make them buy our products. This achieved by continuous integrated communication via visits of sales representatives and through digital touchpoints like the website / web shop, the segmented & personalized campaigns and the UFS apps. Data plays a crucial role in the success of these touchpoints. Through data we're able to make sure our communication is: Integrated and in tune through all different touchpoints Is based on the needs of the end-customer and focuses on relevant products, services or other types of offers. Our vision is to make Professional Sales data intelligent,partnering with the business to powerkey decisions withdata, advanced analytics and AItoaccelerategrowth. Our 5 strategies to achieve this are: Accelerate & simplify access to relevant data, information and insights Build in-house, leading-edge data, information, insights & analytics capability Lead the data & insights culture and careers to empower employees across Unilever Rapidly embed analytics products, solutions and services to drive growth Advance Information Automation at Scale. Main Responsibilities It's the responsibility of the XOps CD Manager Professional Sales to make sure those data solutions are delivered and fit the needs of local markets. You will be responsible for having regular updates with all the local stakeholders and make sure their requirements for new dashboards, data sources or data science solutions are continuously logged. Also, you will be a sparring partner in how the existing solutions can be used in practice. You will lead a team of Data Experts, help them prioritize the work with the biggest impact, navigate between them and the business stakeholders and users. You will manage the delivery of the backlog and will make sure the way of working is functional and aligned between specialisms. The specialisms represented in the team will be: Data Engineers, Data Scientists, ML/Data/Dev Ops experts, people with Data expertise and UI/UX. They will have expertise specific leads, but you will be responsible for having them deliver in the right way for Professional Sales. In the new operating model, the products division will determine the roadmap for the products in collaboration with the Professional Sales xOps Lead. The xOps Operation Manager makes sure they understand what that means from a technical point of view, what type and number of resources is necessary to deliver as well as keeping in touch on any feedback you get during the delivery. There are products for every level of the Professional Sales business, which means that key stakeholders are varied. From top global management, data science, marketing to local data specialists, CX leads, marketing to Sales Reps. Also the type of product you will be delivering is varied. A Data Platform in Databricks for UFS with over 200+ users which is currently in the process of becoming AI ready. A Product Recommendation used by sales teams and marketing teams to use in their communications to the customers. Performance reports on the main KPIs for Digital Selling, Customer Experience and Digital Marketing with some currently having 200 unique viewers. This role allows you to deliver at scale and deliver with impact. Key responsibilities Building the delivery road map for all Professional Sales products Collaborate with local and global stakeholders within GDT and in Professional Sales Continuously understanding and collecting requirements from global/ local stakeholders on dashboards, new data sources and data science solutions Build effective Way of Working between different expertise to build end-to-end Prioritization, making sure we deliver for impact Striving for efficiency in data products Being a sparring partner in the usage of existing products Promote new solutions to the stakeholders Drive adoption of products Managing budgets and resources Experience & Qualifications Bachelor's degree (of science) in computer science, engineering, statistics, mathematics, data modelling or similar technical background Minimum 7+ years experience data and business intelligence creating value for the business. Ability to manage multiple requests and priorities simultaneously in a highly VUCA and competitive market Experience with Data Governance Professional Skills Data Management in Cloud - Fully Operational Analytical power and actionable insights generation - Working Knowledge data domain knowledge of Global Customer / Shopper / ecommerce / exploitation/Trade promotion - preferable Data Engineering /Microsoft Azure - Working Knowledge Business Intelligence / Data Modelling and Visualization - Fully Operational Technical knowledge Python/SQL - working Knowledge General Skills Able to prioritize Strong Communication and influencing skills - working Knowledge Agile - working Knowledge Effective Team Management to Mentor/coach the team Project Management - preferable Knowledge Your Internal Network Data Foundations Factories & Strategies Data Foundations CoE's Professional Sales Product Leads Business leads in a Professional Sales Division like UFS GDT Innovation Technology Team What we offer Whilst the role is advertised on a full-time basis, we would be happy to discuss possible flexible working options and what this may look like for you. We strive to achieve a family-friendly and inclusive workplace and to, above all, create possibilities for all. Diversity at Unilever is about inclusion, embracing differences, creating possibilities and growing together for better business performance. We embrace diversity in our workforce. This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity. We are also more than happy to provide reasonable adjustments during our application and interview process to enable you to be present your best self. To find out more, including about our Employee Resource Groups, please click here Equity, Diversity & Inclusion ().
Product Delivery Manager Location: Kingston or 100VE office Full-time: Hybrid working - 2 days per week in the office Purpose of the role The Data Foundation XOps Manager role is a key & pivotal link between the Data Foundation and the respective Product Domain team(s) within the organisation (Customer). The XOps Manager will be responsible for delivering the solution end to end, starting from Data to ML / Data science solution to frontend UI/UX. With a focus on delivering tailored data and analytics solutions, the XOps Manager collaborates closely with Product Owners to understand their specific needs and requirements co-creating the data and analytics roadmap of delivery and operations for that business domain. This role involves coordinating and managing talent across the Data Foundation XOps team, including data & solution architects, data SMEs, data scientists and vendor partners. KPIs of the role includes efficient prioritization on domain specific tech delivery, cost and speed of delivery as well as resilience and cyber security compliance KPIs. Background on sales account Unilever Food Solutions (UFS) has traditionally been using account managers to engage with chefs of food serving establishments (restaurants, hotels, caterings, etc.). In recent years, the role of digital channels has significantly increased; using the right combination of both off- and online touchpoints has become essential in creating the perfect customer journey. The focus of UFS marketing and sales is to engage chefs with our platform and make them buy our products. This achieved by continuous integrated communication via visits of sales representatives and through digital touchpoints like the website / web shop, the segmented & personalized campaigns and the UFS apps. Data plays a crucial role in the success of these touchpoints. Through data we're able to make sure our communication is: Integrated and in tune through all different touchpoints Is based on the needs of the end-customer and focuses on relevant products, services or other types of offers. Our vision is to make Professional Sales data intelligent,partnering with the business to powerkey decisions withdata, advanced analytics and AItoaccelerategrowth. Our 5 strategies to achieve this are: Accelerate & simplify access to relevant data, information and insights Build in-house, leading-edge data, information, insights & analytics capability Lead the data & insights culture and careers to empower employees across Unilever Rapidly embed analytics products, solutions and services to drive growth Advance Information Automation at Scale. Main Responsibilities It's the responsibility of the XOps CD Manager Professional Sales to make sure those data solutions are delivered and fit the needs of local markets. You will be responsible for having regular updates with all the local stakeholders and make sure their requirements for new dashboards, data sources or data science solutions are continuously logged. Also, you will be a sparring partner in how the existing solutions can be used in practice. You will lead a team of Data Experts, help them prioritize the work with the biggest impact, navigate between them and the business stakeholders and users. You will manage the delivery of the backlog and will make sure the way of working is functional and aligned between specialisms. The specialisms represented in the team will be: Data Engineers, Data Scientists, ML/Data/Dev Ops experts, people with Data expertise and UI/UX. They will have expertise specific leads, but you will be responsible for having them deliver in the right way for Professional Sales. In the new operating model, the products division will determine the roadmap for the products in collaboration with the Professional Sales xOps Lead. The xOps Operation Manager makes sure they understand what that means from a technical point of view, what type and number of resources is necessary to deliver as well as keeping in touch on any feedback you get during the delivery. There are products for every level of the Professional Sales business, which means that key stakeholders are varied. From top global management, data science, marketing to local data specialists, CX leads, marketing to Sales Reps. Also the type of product you will be delivering is varied. A Data Platform in Databricks for UFS with over 200+ users which is currently in the process of becoming AI ready. A Product Recommendation used by sales teams and marketing teams to use in their communications to the customers. Performance reports on the main KPIs for Digital Selling, Customer Experience and Digital Marketing with some currently having 200 unique viewers. This role allows you to deliver at scale and deliver with impact. Key responsibilities Building the delivery road map for all Professional Sales products Collaborate with local and global stakeholders within GDT and in Professional Sales Continuously understanding and collecting requirements from global/ local stakeholders on dashboards, new data sources and data science solutions Build effective Way of Working between different expertise to build end-to-end Prioritization, making sure we deliver for impact Striving for efficiency in data products Being a sparring partner in the usage of existing products Promote new solutions to the stakeholders Drive adoption of products Managing budgets and resources Experience & Qualifications Bachelor's degree (of science) in computer science, engineering, statistics, mathematics, data modelling or similar technical background Minimum 7+ years experience data and business intelligence creating value for the business. Ability to manage multiple requests and priorities simultaneously in a highly VUCA and competitive market Experience with Data Governance Professional Skills Data Management in Cloud - Fully Operational Analytical power and actionable insights generation - Working Knowledge data domain knowledge of Global Customer / Shopper / ecommerce / exploitation/Trade promotion - preferable Data Engineering /Microsoft Azure - Working Knowledge Business Intelligence / Data Modelling and Visualization - Fully Operational Technical knowledge Python/SQL - working Knowledge General Skills Able to prioritize Strong Communication and influencing skills - working Knowledge Agile - working Knowledge Effective Team Management to Mentor/coach the team Project Management - preferable Knowledge Your Internal Network Data Foundations Factories & Strategies Data Foundations CoE's Professional Sales Product Leads Business leads in a Professional Sales Division like UFS GDT Innovation Technology Team What we offer Whilst the role is advertised on a full-time basis, we would be happy to discuss possible flexible working options and what this may look like for you. We strive to achieve a family-friendly and inclusive workplace and to, above all, create possibilities for all. Diversity at Unilever is about inclusion, embracing differences, creating possibilities and growing together for better business performance. We embrace diversity in our workforce. This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity. We are also more than happy to provide reasonable adjustments during our application and interview process to enable you to be present your best self. To find out more, including about our Employee Resource Groups, please click here Equity, Diversity & Inclusion ().