Lead the cross functional CM&M technology organisation supporting the NIKE Direct (.Com, Apps, SNKRs, stores and membership), marketplace (partner integrations +) and marketing (owned channels, adtech +) globally Key responsibilities include:- Short and long term technology strategy and engineering leadership - Financial portfolio, investment and resource management (in-house, remote, near-shore etc) strategies- Stakeholder management across executive leadership to align technology and business growth roadmaps to funding landscape- Delivery of value additive products & capabilities through distributed development models.

Led a multidisciplinary insights organization focused on identifying short-term drivers and strategic long-term opportunities through the development of capabilities and insights pipelines designed to enable and support the delivery of new store concepts, experiences and service propositions for the NIKE Stores organization as we look to open >1000 stores globally by FY27-Stood up organization post announcement of Consumer Direct Acceleration strategy and led scaling from 6 people (pre-CDA) to 50+ today (and growing)-Developed new consumer market mapping capability to aid in market evaluation, tradezone prioritization and site selection--Inc. instantiated new cross-global, cross-geo development framework with differing depth of collaboration/roles and responsibility across the levels of the technology stack--Set-up new data engineering capability to accelerate data product development for consumption layer use-cases-Collaborated with ED&A, CA, CI across global and geo to develop foundation data roadmap and deliver first consumable version of a "stores master" -Led successful cross-functional, cross-global/geo stores acceleration technology review to align business leaders on key E2E investment options and to align on FY23 scope through AOP

Led the formation and development of a new globally distributed multidisciplinary function designed to define, scale and drive the NIKE membership ecosystem. Through standing up and leading teams focussed on instituting deepened member "knowledge" frameworks, data product development, agile insights creation, strategic performance measurement frameworks and the embedding of a test, learn and evolve culture we tangibly drove forward the NIKE business through:- Defining the role of Engagement X LTV for different parts of the NIKE enterprise and connecting this to strategic objectives- Introduction of a new enterprise wide segmentation, through multidisciplinary research and analytics, to better understand revenue and engagement growth opportunities within the NIKE ecosystem - Conceptualization, development and implementation of new "always on" revenue generating strategies focussed on maximizing commercial goals through member data- Evolution of the membership programme and proposition through deeply understanding the value of various needs based "value exchange" mechanisms between NIKE and our consumers+More

Responsible for creating and delivering the strategic vision for personalisation across Burberry’s global physical and digital estate.Lead the design, set-up and management of a new internal function comprising 4 highly diverse cross-functional (digital product, FE & BE engineering, cloud infra, data science etc) capability streams focussed around the development of data capabilities, back-end services and front-end experiences with aim of delivering a portfolio of personalisation solutions across Burberry's owned, earned and 3rd party customer ecosystem. Responsible for the budget definition, cost management and commercial tracking of Burberry’s multi-million pound investment in a personalisation programme primed to deliver >£X0M in incremental revenue p/a by end FY2122.

- Responsible for designing and implementing a global KPI framework across eCommerce, product andmarketing verticals.- Supervised and led a globally distributed team of 7 analysts and implementation specialists focussed across multiple digital verticals.- Developed a culture of data driven decision making through the introduction of tools, training, education and communications developed to engage stakeholders of varying skillsets and numerical ability- Responsible for identifying and maximising commercially important customer behaviours through working with product, engineering and delivery teams to develop solutions to increase customer engagement and revenue.o Notable projects include:-- Abandoned basket triggers (>£1M incremental revenue in FY1718)-- Global navigational changes (>£1M incremental revenue p/a since Jan’16)-- Drove the sign-off, selection, implementation and adoption of product recommendations and AB testing on B.com-- Worked with key external stakeholders (Google, Facebook, Amazon AWS etc) to ensure Burberry remains at the leading edge of digital analyticsAreas of expertise include: behavioural user-to-customer analysis, MVT, marketing analytics, customer recommendations, data strategy, dashboarding for business reporting, self-service and data collection (1st and 3rd party ETL).Transferable soft-skills: Roadmap development, people management, budget management, business case creation, project planning, stakeholder and relationship management

Responsible for the digital data science and omnichannel analytics agenda globally @ Burberry. -- Created of a deterministic omnichannel data model to facilitate complex cross-session, cross-platform and online-to-offline customer journey analysis.-- Developed impact models to prove the causative effect of digital behaviours on wider business trends thus exposing the true value of digital development and marketing activity.-- Developed the first multi-touch attribution models across Burberry's digital ecosystem.-- Designed, acquired business buy-in, launched and managed a digital analytics function from scratch.-- Drove the foundations and growth of a rich data strategy for digital across 1st and 3rd party data sources.Areas of expertise include behavioural user-to-customer analysis, MVT, marketing analytics, customer recommendations, data strategy, decision trees, business reporting and data collection (1st and 3rd party).