Head of Store Transformation Job at Fortnum & Mason (London)

Head of Omnichannel & CD Transformation

We are looking for a senior transformation leader to shape and deliver Unilever ...

Location

Thailand , Bangkok

Salary:

Not provided

Unilever

Expiration Date

Until further notice

Requirements

Proven track record leading commercial strategy and large-scale transformation
Demonstrated success in building new revenue streams and business models
Strong experience in D-commerce, digital / social commerce, and CD digitisation
Multi-channel and multi-country experience, ideally including developed markets
Deep customer understanding and ability to lead senior-level customer relationships
Strong commercial acumen with disciplined approach to governance and value management
Highly effective stakeholder leadership, including navigating complexity across BUs
Data and technology savvy, with a digital and AI-enabled mindset
Enterprise thinker
Comfortable leading change, ambiguity, and transformation at scale

Job Responsibility

Lead the end-to-end 1Unilever omnichannel strategy for Thailand, including organisation design, resource shifts, capabilities, and tools
Drive radical simplification and digitisation of CD processes, ways of working, and governance
Deploy best-in-class tools and AI solutions across Traditional Trade, Modern Trade, and hybrid channel models
Position Thailand as a pilot market for modernised CD execution and scalable best practices
Own and lead the 1Unilever Perfect Store strategy and national implementation, delivering step-change growth
Set and embed execution excellence standards, routines, and performance discipline
Ensure sustained execution quality across channels and customers
Deliver omnichannel growth, GT sales, and 1Unilever growth targets
Drive transformation of Dcom-Marketplace, Omni-channel and Social Commerce
Build CRM and D2C model for Unilever Thailand

Fulltime

New

Head Of Intelligence Products

ELEKS is looking for a Head of Intelligence Products in the United States. Our c...

Location

United States

Salary:

Not provided

ELEKS

Expiration Date

Until further notice

Requirements

10+ years of experience in Data Engineering, Data Architecture, Platform Engineering, or related leadership roles
Proven experience building and scaling modern cloud-based data platforms in enterprise environments
Strong expertise with Snowflake, lakehouse architectures, graph databases, vector databases, and modern data platforms
Deep understanding of knowledge graphs, ontology design, semantic modeling, metadata management, and enterprise data architecture
Experience building AI-ready data platforms supporting LLMs, Retrieval-Augmented Generation (RAG), vector search, and AI applications
Experience designing enterprise APIs, developer platforms, and data products for external customers
Strong knowledge of data governance, lineage, privacy, security, and enterprise access control
Experience defining enterprise data strategy and leading architecture decisions
Hands-on experience with modern ETL/ELT pipelines, orchestration frameworks, and production data services
Experience working with cross-functional Product, Engineering, AI, and Commercial teams

Job Responsibility

Define and lead the enterprise intelligence product strategy, architecture, and operating model
Drive the evolution of a modern enterprise data platform supporting AI, analytics, and commercial data products
Design scalable data architecture, semantic models, and knowledge graph capabilities
Define enterprise ontology, metadata, governance, and interoperability standards
Lead the development of AI-ready data services, APIs, and developer-facing platforms
Define architecture supporting structured, semi-structured, and unstructured data at scale
Partner with Engineering, AI, Product, and Commercial teams to transform data assets into reusable intelligence products
Establish standards for data quality, lineage, provenance, security, and lifecycle management
Define commercialization requirements for enterprise data products, including APIs, licensing models, access control, SLAs, and observability
Evaluate and recommend technologies across cloud data platforms, graph databases, vector stores, orchestration, and AI infrastructure

What we offer

Close cooperation with a customer
Challenging tasks
Competence development
Ability to influence project technologies
Team of professionals
Dynamic environment with low level of bureaucracy

Head of AI Data Science, Intelligence Ventures

The Head of AI Data Science serves as the head of AI research and leader of data...

Location

United States , New York

Salary:

263200.00 - 393800.00 USD / Year

Spectrum

Expiration Date

Until further notice

Requirements

Deep expertise in transformer-based sequence modeling and its application to behavioral or interaction data at consumer scale — including architecture design, training methodology, fine-tuning, and embedding quality evaluation
Proven track record developing and deploying household- or user-level embedding models applied to real-world use cases in media, marketing, commerce, and/or customer intelligence — not just research environments. Demonstrated understanding of the unique characteristics of behavioral sequence data: sparsity, temporal dynamics, multi-entity structure, and the signal differences between behavioral intent and explicit interaction
Strong command of the full data science lifecycle in production settings — from exploratory data analysis and feature engineering through model training, validation, deployment, monitoring, and iteration — at large dataset scale (billions, even trillions of records)
Hands-on proficiency with Python, PyTorch or TensorFlow, and distributed ML training frameworks
experience running ML workloads on cloud platforms (AWS SageMaker, Snowflake Cortex, Databricks, or equivalent)
Experience designing and operationalizing feature stores and predictive modeling pipelines that serve downstream intelligence products, audiences, or decision systems in production environments
Ability to communicate complex AI/ML concepts clearly to non-technical executive audiences, product stakeholders, and external partners
comfort operating as an external-facing technical spokesperson for the platform's modeling capabilities and intelligence differentiation
Track record of leading and growing high-performing data science teams
experience recruiting and developing senior ML talent in competitive markets

Job Responsibility

Direct the research, design, and training of the platform's proprietary transformer-based behavioral embedding model — a multi-entity architecture that encodes household behavior across multiple signal sources into dense, privacy-safe vector representations. Own the full model development lifecycle from architecture decisions and training methodology through validation, deployment, and ongoing iteration as new signal sources and use cases are introduced
Lead the design and build of the platform's Feature Store — translating embedding representations into interpretable, actionable behavioral signals including purchase propensities, category interest intensities, lifestyle affinities, and behavior velocity signals. Oversee the outcome anchoring methodology that trains predictive models against external third-party datasets to produce validated, commercially relevant intelligence outputs across target verticals
Partner with the Head of Technology and external development partners to ensure the AI/ML architecture is production-grade, built for household-scale throughput, and integrated cleanly into the platform's cloud-native infrastructure. Establish model evaluation frameworks, quality benchmarks, and MLOps practices that enforce a strong bias toward production-deployed, commercially validated outputs — not just research-quality results
Serve as the platform's primary AI research voice in external partner conversations — including technical engagements with cloud AI platforms, frontier model teams, and enterprise data partners — articulating the platform's embedding architecture, signal differentiation, and model enrichment value proposition to sophisticated technical counterparts. Contribute to the development of packaged intelligence products such as behavioral demand indices, persona clusters, and predictive propensity scores
Establish the platform's responsible AI framework — including bias testing protocols for behavioral embeddings, model documentation standards, and privacy-preserving ML techniques — ensuring all intelligence products meet ethical and regulatory standards for consumer behavioral data
Build and lead a team of data scientists and ML researchers capable of competing with talent from the world's leading AI research and applied ML organizations. Establish the team's research agenda, hiring priorities, and culture of rigorous experimentation — maintaining a clear bias toward applied, production-oriented work while preserving the intellectual ambition required to stay ahead of a rapidly evolving AI landscape

Fulltime

Head of Commercial, Lead Director WILD US

Are you passionate, driven and creative? Are you eager to work on one of the fas...

Location

United States , Hoboken

Salary:

221100.00 - 386925.00 USD / Year

Unilever

Expiration Date

Until further notice

Requirements

12+ years of Marketing experience, Foods or well-rounded CPG experience preferred
A proven track record of brand development/innovation program leadership – both core/renovation and new products/white space development
Leading integrated communication programs, including the development of outstanding campaign rooted in social-first capabilities
Drive for our digital transformation to adopt AI capabilities and new agency partnership models. Natural curiosity for emerging trends and technologies a must
Deep experience working with traditional and digital agencies to develop world class programs
Financial acumen to own your P&L, understand how value is created through the brand, and shape growth plans
Passionate about developing talent and teams, while both holding the bar high for performance and creating a psychologically safe environment
Demonstrated passion for consumers we serve. Experience developing insight though consumer intimacy and translating such into business initiatives
Building strong cross-functional network to deliver through an extended team – welcoming category strategy, R&D, and supply chain voices to the table for effective collaboration
Food industry experience a plus

Job Responsibility

Full ownership of the Retail P&L, responsible for driving exponential growth whilst continually optimizing profitability
Responsible for driving the commercial strategy for the retail division, while strategically aligning with direct-to-consumer initiatives to achieve holistic business growth
Owning the planning cycle and strategic direction of the retail arm of Wild getting buy-in from the leadership team and board
Building high level relationships with major decision makers at all key strategic partners and supporting the controllers to build their networks and impact across key accounts
Lead the development and execution of commercial strategies to drive brand awareness and growth within retail
Utilize extensive experience to mentor and empower a young leadership team, fostering the development of company culture and driving progress towards organizational goals
Set targets to increase visibility of retail across the company and using KPIs to drive team performance
Use category data and insights to drive sell-in of Wild across existing and new partners. Always looking for data and insights that can help propel the Wild story and position us at the forefront of the global refill revolution
Developing our shopper marketing plan to help grow ROS and exposure across our store footprint
Developing a lean and entrepreneurial team ensuring Wild can deliver its growth ambitions

What we offer

Bonus eligible
Long-Term Incentive (LTI) eligible
health insurance (including prescription drug, dental, and vision coverage)
retirement savings benefits
life insurance and disability benefits
parental leave
sick leave
paid vacation and holidays
access to numerous voluntary benefits

Fulltime

Head of Technology, Intelligence Ventures

The Head of Technology serves as the chief technology officer of a new behaviora...

Location

United States , New York

Salary:

263200.00 - 393800.00 USD / Year

Spectrum

Expiration Date

Until further notice

Requirements

Deep expertise across the full intelligence platform stack — including distributed data pipelines, ML platform architecture, embedding systems, feature stores, agent-to-agent API design, and LLM-powered application layers — with demonstrated ability to architect and ship all layers as a coherent, production-grade product
Demonstrated experience architecting and operating consumer data intelligence or data product platforms underpinned by complex machine learning systems and built on modern, cloud-native data infrastructure
Hands-on proficiency with Snowflake (including Cortex, Native Apps, and data sharing frameworks), cloud data platforms (AWS, Azure, or GCP), and production ML/AI systems at scale
Experience building agentic AI systems and LLM-powered product interfaces — including agent-to-agent APIs, retrieval-augmented generation architectures, and natural language UIs grounded in proprietary data — with strong product instincts around accuracy, trust, and user experience for non-technical enterprise audiences
Proven ability to translate complex technical architecture into clear executive and partner-facing communications
comfortable engaging at the C-suite level and in strategic partner negotiations with hyperscalers and technology platforms
Strong understanding of privacy-preserving data architecture, including differential privacy, de-identification techniques, zero-copy and clean room frameworks, and the regulatory landscape governing consumer behavioral data
Track record of recruiting and developing exceptional engineering talent in competitive markets
experience building high-performance teams from early-stage through scaled operations
Experience managing external development partners and outsourced engineering resources alongside an internal team in a fast-moving, build-from-scratch environment

Job Responsibility

Own the end-to-end technical architecture of the platform — from large-scale network signal ingestion and processing through behavioral embedding generation, feature store construction, and zero-copy intelligence delivery to enterprise partners — ensuring the platform is production-grade, built for household-scale throughput, and designed for long-term extensibility across new signal sources and use cases
Lead the build of the platform’s cloud-native data and application infrastructure — including ingestion and transformation pipelines, ML/AI compute environments, zero-copy partner access frameworks, and a real-time agent-to-agent API layer that enables external AI systems (marketing agents, commerce agents, customer service agents) to query household-level intelligence and receive contextually grounded responses
Serve as the technical lead in strategic partner integrations with cloud, data, and AI platform providers, ensuring each integration is architecturally differentiated and aligned with the platform’s cloud-agnostic, API-first design principles
Architect and deliver a business-facing agentic intelligence interface — a natural language UI that allows non-technical marketers, planners, and business users to query household behavioral intelligence, surface demand signals, and take action without requiring data or engineering support
Build and manage a world-class engineering organization capable of competing for talent with the leading technology and data infrastructure companies

Fulltime

Head of Loyalty

We are working closely with a major company in the retail industry. They are loo...

Location

United Kingdom , The City, City of London (EC2), EC2M

Salary:

Not provided

Social Value Portal Ltd

Expiration Date

Until further notice

Requirements

Senior loyalty programme leadership with proven track record of: Designing and launching successful loyalty/customer club programmes from scratch or major transformations
Operating loyalty programmes at scale (ideally 1M+ members)
Driving measurable commercial outcomes (frequency, retention, monetisation)
Omnichannel retail experience: Understanding of how loyalty integrates across physical stores, digital, and customer service
Experience bridging online and offline customer experiences
Retail operations knowledge and ability to design operationally viable solutions
Building loyalty propositions grounded in customer data and insights
Experience with customer segmentation, personalisation, and targeted offers
Understanding of how to monetise customer data while respecting privacy
Leading complex, cross-functional transformation programmes

Job Responsibility

Lead Phase 2 Delivery (4-6 months, excluding Peak trading)
Run a cross-functional squad covering loyalty transformation, data, commercial strategy, and permanent recruitment: Build and lead a small, focused team (~3 FTE) to drive design and validation work
Secure and deploy business resources effectively
Establish governance, decision-making frameworks, and stakeholder engagement rhythms
Business case validated with investment requirements
Customer migration strategy and communications approach
Operating model design for running the Club at scale

Head of eCommerce

A well established, fast growing retailer in the furniture and home sector is en...

Location

United Kingdom , Birmingham

Salary:

70000.00 - 85000.00 GBP / Year

SF Technology Solutions

Expiration Date

Until further notice

Requirements

Proven ecommerce leader with experience scaling online performance within retail categories such as furniture, home, bulky goods, or other high value D2C sectors
Strong bias for action, gets things done and makes decisions at pace
Experience managing an ecommerce P&L between £10m-£100m+
Hands on leadership style: strategic enough to lead, practical enough to execute
A test and learn mindset with proven ability to deliver uplift quickly
Credibility to influence senior stakeholders, including founders
A track record of building or transforming ecommerce capability

Job Responsibility

Own and manage the full ecommerce P&L
Set growth targets and deliver revenue, margin and profitability goals
Drive commercial levers including acquisition, conversion, AOV, and repeat purchase
Lead ongoing website development with external partners and agencies
Own the UX roadmap to ensure seamless navigation, merchandising, and checkout experience
Ensure all in store products are accurately represented and optimised online
Develop category and product strategies including a more online friendly assortment (including ranges aligned with leading D2C suppliers)
Oversee all digital performance channels including Paid Search, Paid Social, SEO, CRM and retention
Ensure campaigns deliver strong ROI, clear attribution and commercial impact
Drive data led decision making across all digital touchpoints

Fulltime

Head of Support Services

Goodman Masson is pleased to be partnering with Hackney Council to recruit a Hea...

Location

United Kingdom , Hackney

Salary:

66084.00 - 67269.00 GBP / Year

Goodman Masson

Expiration Date

Until further notice

Requirements

Senior leadership experience in a complex operational environment
Strong understanding of fleet, stock, or complaints management (ideally all three)
Proven ability to lead teams through organisational and culture change
Excellent analytical and data-driven decision-making skills
Strong stakeholder engagement and communication capabilities
Experience managing budgets, risk, and performance frameworks
A commitment to equality, resident-focused service delivery, and continuous improvement

Job Responsibility

Lead the development of efficient systems, processes, and teams that underpin service delivery across Repairs and Maintenance
Manage the Transport and Stores Manager and Complaints & Insurance Manager
Ensure that vehicles, materials, and customer feedback frameworks operate to the highest standards of safety, compliance, and value for money
Take a proactive approach to customer service, embedding a culture of accountability, continuous improvement, and strong performance management
Oversee fleet strategy, regulatory compliance, and environmental targets
Manage a robust stock control operation with streamlined procurement and audit processes
Lead a high-performing complaints function that identifies service trends, improves outcomes, and enhances resident trust
Provide health and safety leadership and risk management
Ensure that systems, data, and reporting frameworks support effective decision-making
Build strong internal and external relationships, engage residents, and represent the service across panels, forums, and stakeholder settings

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Head of Store Transformation

Job Description

Job Responsibility

Requirements

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