Billigence

Risk

• Develop a detailed delivery plan, including timelines, responsibilities, and key milestones following discovery and requirements gathering during the early stages of the engagement
• Support the design of a central data capability within Procurement, helping define key roles required to support ongoing data maturity and governance
• Establish a Procurement Data Governance framework, identifying and onboarding Data Owners and Data Stewards across critical data domains
• Prioritise governance across key datasets including supplier portal and supplier master data, price modelling data, and procurement data within ERP environments
• Document key data assets to support population of the enterprise data catalogue
• Develop and maintain business glossaries, data definitions, and governance artefacts aligned with enterprise standards
• Define business and data quality rules for monitoring based on operational processes and catalogue standards
• Identify and implement data quality monitoring mechanisms
• Support the training and onboarding of Data Owners and Data Stewards to embed governance practices within Procurement teams
• Ensure all outputs align with the organisation's enterprise data governance framework and associated standards
• Support change management and adoption, working closely with business stakeholders to embed sustainable governance processes

Data Governance Consultant

Data Scientist

• Act as both a strategic advisor and hands-on data science practitioner
• Design, build, and evaluate data science models addressing agricultural challenges
• Apply advanced modelling approaches, including Bayesian methods and probabilistic reasoning
• Ensure models are explainable and interpretable for non-technical stakeholders
• Translate analytical techniques into practical solutions used in real-world operations
• Work closely with stakeholders to ensure models align with agricultural processes and constraints
• Guide stakeholders on how analytical outputs integrate into business and field operations
• Provide recommendations on how data science capabilities can scale over time

Senior Data Science Consultant – Outside IR35

Artificial Intelligence

• Define and lead the data and AI transformation strategy across the institution
• Work with senior stakeholders to identify opportunities where data and AI can drive business improvement
• Gather and structure business requirements across departments and functions
• Translate strategic objectives into a clear, executable transformation roadmap
• Lead alignment on key metrics and performance indicators used across the organisation
• Define how data and AI capabilities will support core university functions and decision-making
• Establish and scope a programme of work for delivering the transformation
• Work closely with enterprise architecture and technology teams to align strategy with platform capabilities
• Guide the delivery of the transformation programme and ensure alignment with business outcomes
• Provide leadership across both business and technical stakeholders

Data & AI Transformation Lead

Architect

• Define and design the MDM architecture and target state
• Select and implement an appropriate MDM platform/tooling
• Design data models, hierarchies, and golden record structures
• Define matching, merging, and survivorship rules
• Establish integration patterns between source systems and MDM
• Work closely with business and technical teams to align on data definitions
• Support rollout of governance and data quality frameworks
• Provide architectural leadership across global teams

MDM Architect – Inside IR35

Consultant

• Assess current architecture landscape against MDM requirements and inform target design and implementation style
• Define match/merge and survivorship requirements and system-of-authority principles for priority attributes
• Design high-level principles for data distribution, synchronisation, lifecycle, and retention
• Design core attributes, hierarchies, relationships, segmentation, and validation principles for prioritised domains
• Produce an RFP-ready pack if a 'buy' tooling path is selected, including requirements, evaluation criteria, and use cases
• Provide expert guidance on MDM implementation styles (centralised, co-existence, consolidation, registry)

MDM Consultant – Inside IR35

Project Manager

• Lead project management and coordination across all MDM workstreams
• Maintain alignment with strategic in-flight programmes
• Manage transition states, impacts, and dependencies across teams
• Own and maintain the dependency and decisions register
• Facilitate governance forums, escalation routes, and stakeholder communications
• Track milestones, risks, and issues across the programme

Project Manager – MDM

Data Engineer

• Build and optimise data pipelines within Azure Databricks
• Support migration of existing Azure Synapse notebook pipelines
• Design scalable data models and storage patterns within Delta Lake
• Integrate historical data from on-premise data warehouses
• Build new ingestion pipelines from SQL Server stored procedures
• Implement scalable ingestion frameworks and reusable pipeline patterns
• Collaborate with global data engineering teams across the UK and India
• Contribute to best practices and platform standards for future pipeline development

Senior Data Engineer – Azure Databricks

• Drive the design and delivery of modern Data Governance frameworks for enterprise clients
• Partner with senior stakeholders across business and IT to define governance strategy
• Embed ownership models and implement scalable processes that enable trusted data
• Establish governance forums, escalation pathways, and decision-making processes
• Deliver governance deliverables including policies, standards, controls, and governance KPIs
• Drive implementation of business glossary and metadata management processes
• Support identification and management of Critical Data Elements (CDEs)
• Work closely with Ataccama teams to embed governance workflows and approvals
• Partner with compliance, legal, and risk stakeholders for regulatory alignment
• Deliver training and enablement sessions for Data Owners and Data Stewards
• Track governance adoption and maturity progress across the organisation

Data Governance Lead – Contract

Implementation Specialist

• Configure and develop Ataccama ONE solutions across Data Quality and metadata modules
• Build data profiling jobs, validation rules, and DQ monitoring workflows
• Support metadata ingestion, catalog setup, and scan configuration
• Implement remediation workflows and issue tracking processes
• Work with Solution Architects to support platform integration and technical delivery
• Support testing, defect resolution, and deployment activities across environments
• Ensure technical deliverables meet quality, performance, and scalability requirements
• Produce technical documentation and support knowledge transfer to client teams
• Collaborate with data engineering teams on source integration and connectivity
• Support ongoing platform optimisation and enhancements during delivery

Ataccama Developer – Implementation Consultant, Contract

Solutions Engineer

• Own the end-to-end technical architecture for Ataccama ONE implementation programmes
• Design Ataccama platform deployment across dev/test/prod environments
• Define integration patterns across cloud platforms (Azure, AWS, GCP) and enterprise data sources
• Lead architecture workshops and provide technical governance across delivery teams
• Design metadata ingestion, catalog integration, and governance workflow architecture
• Support Data Quality framework implementation including monitoring and reporting patterns
• Ensure security, access controls, and compliance alignment with enterprise standards
• Provide oversight of performance tuning, scalability, and platform resilience
• Produce HLD/LLD documentation and support technical decision-making forums
• Act as the escalation point for complex platform and integration challenges