Data lead

Role/Job title: Data Lead

Work Location: Huntingdon, UK

Role type: Contract InsideIR35

Mode of working: Hybrid (2 days/week)

Duration of assignment: 9 months

The Rol

e
This role provides a unique opportunity to lead a critical data transformation workstream for a global food manufacturing leader, driving data readiness across enterprise platforms while leading a hybrid onsite-offshore analytics pod leveraging modern Azure-based data technologie

s.Customer is a UK-headquartered, global food and supply chain partner operating across multiple international markets. It specializes in processing, packaging, and supply chain services for protein-based products including meat, seafood, and plant-based foods, supplying major retailers globall

y.•Operates as a partner-led business model providing end-to-end services spanning production, packaging, logistics, and digital supply chain optimizatio

n.•Works across categories such as meat, seafood, vegan/vegetarian, ready meals, and supply chain service

s.•Strong focus on digital transformation, automation, and data-enabled decision making to drive operational efficiency and supply chain visibilit

y.
Your responsibiliti

es:
The Onsite Data Lead will play a critical role in driving Customer’s data transformation programme by anchoring an analytics data pod (onsite + offshore delivery model) supporting in-flight business-critical initiati

ves.Impact Summ

ary:• Lead end-to-end delivery of a business-critical data workstream already in execution, accelerating outcomes rather than starting from scr

atch• Enable data readiness for operations, testing, cutover, and go-live across multiple enterprise platf

orms• Orchestrate integration across ERP (SAP S/4HANA), planning, MES and supply chain systems, ensuring unified and consistent

data• Drive data lake, analytics, and reporting capabilities using Azure / Power BI ecosy

stem• Act as the single point of leadership onsite, coordinating with senior stakeholders and leading a 4-member offshore

pod
Key responsibilities inc

lude:
• Lead and accelerate an existing data workstream, ensuring continuity and deliver

y pace• Define and drive the data readiness roadmap for testing, rehearsal, cutover, and oper

ations• Identify and manage data objects across domains (master, transactional, production, supply

chain)• Coordinate data collection, cleansing, structuring and validation across multiple s

ystems• Ensure data consistency across platforms (SAP, MES, planning,

etc.)• Work with business stakeholders (finance, supply chain, plant ops) an

d SMEs• Lead and govern offshore team delivery (Technical Lead, BA, Devel

opers)• Track and manage data quality, completeness, risks and depend

encies• Engage with vendors, implementation partners, and program leadership

teams• Provide day-to-day leadership, stakeholder management, and escalation ha

ndling• Direct exposu

re to:o Global food manufacturing and supply chain transfor

mationo Modern cloud data platforms (Azure Data Lake, Fabric, Anal

ytics)o Cross-functional business domains (manufacturing, supply chain, fi

nance)
Your

ProfileEssential skills/knowledge/exper

ience:
• Strong experience in Data Engineering / Data Management / Data Migration

programs• Proven leadership in data delivery within large transformation pr

ogrammes• Hands-on experience with Azure data stack (ADLS Gen2, ADF / Fabric, SQL, P

ower BI)• Exposure to ERP & manufacturing ecosystems (SAP S/4HANA, MES, Planning

systems)• Strong understan

ding of:o Data structures (master, transactional, operation

al data)o Data quality, governance, and l

ifecycle• Experience managing onsite–offshore deliver

y models• Ability to engage business + IT stakeholders across f

unctions• Strong programme execution, problem-solving, and escalation ma

nagement
Desirable skills/knowledge/exp

erience:
• Experience in CPG / food manufacturing / supply ch

ain domain• Exposure to plant start-up, cutover, or transformatio

n programs• Familiarity with data lake architecture and analytics product d

evelopment• Experience with Agile POD-based deliv

ery models• Knowledge of modern analytics platforms (Fabric / advanced

BI tools)• Understanding of data compliance (GDPR, data protection in cloud env