A leading fashion retailer in Watford is seeking a proactive Security Resolution Manager to support its cybersecurity team. The ideal candidate will manage security incidents, ensuring compliance with regulations and data protection standards. Responsibilities include incident response coordination, access controls management, and cross-functional collaboration. Strong communication skills and extensive experience in cybersecurity are essential. This role offers the chance to work closely with both regional and global teams while maintaining high security standards.
Dec 13, 2025
Full time
A leading fashion retailer in Watford is seeking a proactive Security Resolution Manager to support its cybersecurity team. The ideal candidate will manage security incidents, ensuring compliance with regulations and data protection standards. Responsibilities include incident response coordination, access controls management, and cross-functional collaboration. Strong communication skills and extensive experience in cybersecurity are essential. This role offers the chance to work closely with both regional and global teams while maintaining high security standards.
Position Overview We are seeking an experienced and proactive Security Resolution Manager to support our Chief Information Security Officer (CISO) team in managing and resolving security incidents and data exposure risks. The ideal candidate will possess effective communication skills, a strong technical background in cybersecurity, and proven experience in managing issue resolution processes. This role will serve as a key liaison between regional teams and global cybersecurity leadership, ensuring alignment with evolving regulations, data protection and enterprise security standards. Key Responsibilities 1. Security Operations & Incident Management Coordinate and drive to remediation the response to escalated cybersecurity and data incidents, including third-party breaches. Conduct root cause analysis and implement corrective and preventive actions. Maintain detailed incident records and provide timely updates to internal and external stakeholders. Continuously improve incident response processes and reduce response times. Collaborate with risk and compliance teams to integrate incident response into broader risk strategies. 2. Manage Data Exposure Risks Ensure access controls are aligned with global security policies. Monitor and improve access management and DLP processes. Track and resolve DLP alerts and incidents with proper documentation. 3. Data Protection & Privacy Coordinate with the Data Protection Officer to assess and respond to personal data breaches in line with GDPR and local regulations. Support the integration of privacy-by-design principles in systems, processes, and vendor engagements. Monitor compliance with data protection policies and contribute to internal audits and readiness assessments. Contribute to the identification and mitigation of data protection and privacy risks across business operations, supporting proactive compliance with data protection regulations. 4. Cross-Functional Collaboration & Communication Work closely with global and regional teams (SOC, Data Protection, Risk & Compliance, IT, Legal) to resolve issues and remove blockers. Align with the global CISO on strategy, objectives, and regulatory engagements. Deliver cybersecurity awareness and training tailored to regional threat landscapes. Support the integration of new business units, ensuring adherence to security standards. Experience, Skills & Knowledge Substantial experience in information security, with proven experience in managing cyber issues and resolution processes. Strong technical understanding of cybersecurity technologies, threat landscapes, data protection, and security operations practices. Excellent communication, problem-solving and organizational skills Ability to lead and collaborate with cross-functional teams Relevant security certifications (e.g., CISSP, CISM, CRISC, ITIL) are a plus.
Dec 13, 2025
Full time
Position Overview We are seeking an experienced and proactive Security Resolution Manager to support our Chief Information Security Officer (CISO) team in managing and resolving security incidents and data exposure risks. The ideal candidate will possess effective communication skills, a strong technical background in cybersecurity, and proven experience in managing issue resolution processes. This role will serve as a key liaison between regional teams and global cybersecurity leadership, ensuring alignment with evolving regulations, data protection and enterprise security standards. Key Responsibilities 1. Security Operations & Incident Management Coordinate and drive to remediation the response to escalated cybersecurity and data incidents, including third-party breaches. Conduct root cause analysis and implement corrective and preventive actions. Maintain detailed incident records and provide timely updates to internal and external stakeholders. Continuously improve incident response processes and reduce response times. Collaborate with risk and compliance teams to integrate incident response into broader risk strategies. 2. Manage Data Exposure Risks Ensure access controls are aligned with global security policies. Monitor and improve access management and DLP processes. Track and resolve DLP alerts and incidents with proper documentation. 3. Data Protection & Privacy Coordinate with the Data Protection Officer to assess and respond to personal data breaches in line with GDPR and local regulations. Support the integration of privacy-by-design principles in systems, processes, and vendor engagements. Monitor compliance with data protection policies and contribute to internal audits and readiness assessments. Contribute to the identification and mitigation of data protection and privacy risks across business operations, supporting proactive compliance with data protection regulations. 4. Cross-Functional Collaboration & Communication Work closely with global and regional teams (SOC, Data Protection, Risk & Compliance, IT, Legal) to resolve issues and remove blockers. Align with the global CISO on strategy, objectives, and regulatory engagements. Deliver cybersecurity awareness and training tailored to regional threat landscapes. Support the integration of new business units, ensuring adherence to security standards. Experience, Skills & Knowledge Substantial experience in information security, with proven experience in managing cyber issues and resolution processes. Strong technical understanding of cybersecurity technologies, threat landscapes, data protection, and security operations practices. Excellent communication, problem-solving and organizational skills Ability to lead and collaborate with cross-functional teams Relevant security certifications (e.g., CISSP, CISM, CRISC, ITIL) are a plus.
Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph Lauren's reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Company's brand names, which include Ralph Lauren, Ralph Lauren Collection, Ralph Lauren Purple Label, Polo Ralph Lauren, Double RL, Lauren Ralph Lauren, Polo Ralph Lauren Children, Chaps, among others, constitute one of the world's most widely recognized families of consumer brands. At Ralph Lauren, we unite and inspire the communities within our company as well as those in which we serve by amplifying voices and perspectives to create a culture of belonging, ensuring inclusion, and fairness for all. We foster a culture of inclusion through: Talent, Education & Communication, Employee Groups and Celebration. Position Overview We are seeking for an experienced, passionate and highly motivated Data Scientist who will help us discover the information hidden in vast amounts of customer data, and help us make data driven decisions to deliver better products, service and relevance to our customers. Responsibilities Build predictive models to forecast customer behaviour, including purchase patterns, identification of life events and influence on purchase mission to enhance personalized customer experiences across all channels Create sophisticated customer segmentation using behavioural, transactional, and demographic data Collaborate on design of test & learn methods to measure CRM initiatives' effectiveness Monitor performance to ensure models perform as effectively as possible for continuous improvement Communicate algorithmic solutions in a clear, understandable way. Leverage data visualisation techniques and tools to effectively demonstrate patterns, outliers and exceptional conditions in the data Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback Experience, Skills & Knowledge Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM, and engineering teams. Experience in a global or multi-regional context is a plus
Dec 13, 2025
Full time
Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph Lauren's reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Company's brand names, which include Ralph Lauren, Ralph Lauren Collection, Ralph Lauren Purple Label, Polo Ralph Lauren, Double RL, Lauren Ralph Lauren, Polo Ralph Lauren Children, Chaps, among others, constitute one of the world's most widely recognized families of consumer brands. At Ralph Lauren, we unite and inspire the communities within our company as well as those in which we serve by amplifying voices and perspectives to create a culture of belonging, ensuring inclusion, and fairness for all. We foster a culture of inclusion through: Talent, Education & Communication, Employee Groups and Celebration. Position Overview We are seeking for an experienced, passionate and highly motivated Data Scientist who will help us discover the information hidden in vast amounts of customer data, and help us make data driven decisions to deliver better products, service and relevance to our customers. Responsibilities Build predictive models to forecast customer behaviour, including purchase patterns, identification of life events and influence on purchase mission to enhance personalized customer experiences across all channels Create sophisticated customer segmentation using behavioural, transactional, and demographic data Collaborate on design of test & learn methods to measure CRM initiatives' effectiveness Monitor performance to ensure models perform as effectively as possible for continuous improvement Communicate algorithmic solutions in a clear, understandable way. Leverage data visualisation techniques and tools to effectively demonstrate patterns, outliers and exceptional conditions in the data Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback Experience, Skills & Knowledge Relevant experience in Customer Marketing Data Science including applied statistics and machine learning techniques (supervised and unsupervised learning, natural language processing, Bayesian statistics, time-series forecasting, collaborative filtering etc) Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch) Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku, Databricks. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM, and engineering teams. Experience in a global or multi-regional context is a plus
A global fashion leader is seeking a Data Scientist Manager to spearhead personalization initiatives within its CRM ecosystem. In this role, you will develop advanced predictive models and recommendation systems that enhance customer engagement on a global scale. Candidates should have proven experience in machine learning, particularly with recommendation systems, and be proficient in Python and cloud platforms. This position offers an opportunity to work in a dynamic environment, pushing the boundaries of data-driven marketing.
Dec 13, 2025
Full time
A global fashion leader is seeking a Data Scientist Manager to spearhead personalization initiatives within its CRM ecosystem. In this role, you will develop advanced predictive models and recommendation systems that enhance customer engagement on a global scale. Candidates should have proven experience in machine learning, particularly with recommendation systems, and be proficient in Python and cloud platforms. This position offers an opportunity to work in a dynamic environment, pushing the boundaries of data-driven marketing.
A leading global lifestyle company is seeking an experienced Data Scientist to discover insights from customer data. The role involves building predictive models, creating customer segments, and collaborating with engineering and marketing teams to enhance the customer experience. Ideal candidates will have a solid background in machine learning, statistics, and strong proficiency in Python. This position is based in City Of London.
Dec 13, 2025
Full time
A leading global lifestyle company is seeking an experienced Data Scientist to discover insights from customer data. The role involves building predictive models, creating customer segments, and collaborating with engineering and marketing teams to enhance the customer experience. Ideal candidates will have a solid background in machine learning, statistics, and strong proficiency in Python. This position is based in City Of London.
Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph Lauren's reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Company's brand names, which include Ralph Lauren, Ralph Lauren Collection, Ralph Lauren Purple Label, Polo Ralph Lauren, Double RL, Lauren Ralph Lauren, Polo Ralph Lauren Children, Chaps, among others, constitute one of the world's most widely recognized families of consumer brands. Position Overview We're looking for a passionate and experienced Data Scientist Manager to lead personalization efforts within Ralph Lauren's CRM ecosystem. You'll develop predictive models and recommendation systems that enhance customer engagement across global markets. Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learning, incorporating product embeddings and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies. Own the full ML lifecycle-from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. Experience, Skills & Knowledge Proven experience in machine learning, particularly in recommendation systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch. Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM, and engineering teams. Excellent communication and stakeholder management skills. Experience in a global or multi-regional context is a plus.
Dec 13, 2025
Full time
Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph Lauren's reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Company's brand names, which include Ralph Lauren, Ralph Lauren Collection, Ralph Lauren Purple Label, Polo Ralph Lauren, Double RL, Lauren Ralph Lauren, Polo Ralph Lauren Children, Chaps, among others, constitute one of the world's most widely recognized families of consumer brands. Position Overview We're looking for a passionate and experienced Data Scientist Manager to lead personalization efforts within Ralph Lauren's CRM ecosystem. You'll develop predictive models and recommendation systems that enhance customer engagement across global markets. Lead development of machine learning solutions for CRM personalization. Build and optimize recommendation engines using neural networks and deep learning, incorporating product embeddings and other advanced features to improve relevance and performance. Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies. Own the full ML lifecycle-from model design to deployment and monitoring. Partner with engineering and data teams to ensure scalable solutions. Continuously monitor and improve model performance using data insights and feedback. Experience, Skills & Knowledge Proven experience in machine learning, particularly in recommendation systems and deep learning architectures. Strong understanding of two-tower neural networks, embedding techniques, and ranking models. Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch. Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku. Experience with ML Ops, including model deployment, monitoring, and retraining pipelines. Ability to work cross-functionally with marketing, CRM, and engineering teams. Excellent communication and stakeholder management skills. Experience in a global or multi-regional context is a plus.
Position Overview Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph Lauren's reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Company's brand names, which include Ralph Lauren, Ralph Lauren Collection, Ralph Lauren Purple Label, Polo Ralph Lauren, Double RL, Lauren Ralph Lauren, Polo Ralph Lauren Children, Chaps, among others, constitute one of the world's most widely recognized families of consumer brands. At Ralph Lauren, we unite and inspire the communities within our company as well as those in which we serve by amplifying voices and perspectives to create a culture of belonging, ensuring inclusion, and fairness for all. We foster a culture of inclusion through: Talent, Education & Communication, Employee Groups and Celebration. Position Overview As a key member of the Ralph Lauren FP&A team, the Finance Manager is responsible for end to end financial support of EMEA store-related initiatives - this includes new store openings, renovations, refits, lease renewals, relocations, and temporary locations. This role also includes ownership of the Capital forecasting process and management of key Property related P&L lines, including Depreciation, Rent, Rates, and Service Charges. Responsibilities Investment appraisals and modelling of pro-forma P&Ls for store projects. This includes scenario modelling, aligning with key stakeholders on inputs and challenging where necessary Delivery of post-investment reviews to evaluate project performance against original business cases, identify key performance drivers and develop actionable recommendations for future improvements Ownership of the budgeting and forecasts (primarily in relation to anticipated projects) for: Capital Rent Building strong, collaborative relationships to support strategic initiatives and ensure alignment across functions Supporting with the preparation and presentation of decks for projects reviews with EMEA senior management/other decision making forums. Analysis & other reporting / schedules to support Capital investment & delivery of spend in line with Company polices and on Budget Serve as a mentor to junior finance team members, offering guidance, support, and coverage as needed Support the Senior Finance Manager / broader FPA team with general financial analysis and other ad hoc strategic or operational projects as required Experience, Skills & Knowledge Strong communication and presentation skills (oral, written, and formal) with the ability to develop effective partnerships with financial and non-financial partners across varying levels of management Proven ability to manage multiple tasks and adapt to a changing, fast paced environment; detail oriented with strong organization skills Self-motivated/pro-active, follow through with responsibilities and be accountable for results Excellent financial modeling and analytical skills with the ability to work with large volume of data
Dec 12, 2025
Full time
Position Overview Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph Lauren's reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Company's brand names, which include Ralph Lauren, Ralph Lauren Collection, Ralph Lauren Purple Label, Polo Ralph Lauren, Double RL, Lauren Ralph Lauren, Polo Ralph Lauren Children, Chaps, among others, constitute one of the world's most widely recognized families of consumer brands. At Ralph Lauren, we unite and inspire the communities within our company as well as those in which we serve by amplifying voices and perspectives to create a culture of belonging, ensuring inclusion, and fairness for all. We foster a culture of inclusion through: Talent, Education & Communication, Employee Groups and Celebration. Position Overview As a key member of the Ralph Lauren FP&A team, the Finance Manager is responsible for end to end financial support of EMEA store-related initiatives - this includes new store openings, renovations, refits, lease renewals, relocations, and temporary locations. This role also includes ownership of the Capital forecasting process and management of key Property related P&L lines, including Depreciation, Rent, Rates, and Service Charges. Responsibilities Investment appraisals and modelling of pro-forma P&Ls for store projects. This includes scenario modelling, aligning with key stakeholders on inputs and challenging where necessary Delivery of post-investment reviews to evaluate project performance against original business cases, identify key performance drivers and develop actionable recommendations for future improvements Ownership of the budgeting and forecasts (primarily in relation to anticipated projects) for: Capital Rent Building strong, collaborative relationships to support strategic initiatives and ensure alignment across functions Supporting with the preparation and presentation of decks for projects reviews with EMEA senior management/other decision making forums. Analysis & other reporting / schedules to support Capital investment & delivery of spend in line with Company polices and on Budget Serve as a mentor to junior finance team members, offering guidance, support, and coverage as needed Support the Senior Finance Manager / broader FPA team with general financial analysis and other ad hoc strategic or operational projects as required Experience, Skills & Knowledge Strong communication and presentation skills (oral, written, and formal) with the ability to develop effective partnerships with financial and non-financial partners across varying levels of management Proven ability to manage multiple tasks and adapt to a changing, fast paced environment; detail oriented with strong organization skills Self-motivated/pro-active, follow through with responsibilities and be accountable for results Excellent financial modeling and analytical skills with the ability to work with large volume of data
A global lifestyle brand is seeking a Senior CRM Manager to lead their Direct-to-Consumer CRM strategy across various channels. This role focuses on driving customer acquisition and retention through data-driven campaigns. The ideal candidate will manage CRM P&L responsibilities, oversee a team, and ensure brand elevation in customer interactions. Key qualifications include substantial CRM experience and strong leadership skills, with a preference for candidates from the retail/luxury industry.
Dec 10, 2025
Full time
A global lifestyle brand is seeking a Senior CRM Manager to lead their Direct-to-Consumer CRM strategy across various channels. This role focuses on driving customer acquisition and retention through data-driven campaigns. The ideal candidate will manage CRM P&L responsibilities, oversee a team, and ensure brand elevation in customer interactions. Key qualifications include substantial CRM experience and strong leadership skills, with a preference for candidates from the retail/luxury industry.