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Job Description:
We are a global energy business involved in every aspect of the energy system. We are working towards delivering light, heat, and mobility to millions of people every day. We are one of the very few companies equipped to solve some of the big sophisticated challenges that matter for the future. We have a real contribution to make to the world's ambition of a low-carbon future. Join us and be part of what we can accomplish together. You can participate in our new ambition to become a net zero company by 2050 or sooner and help the world get to net zero.
Would you like to discover how our diverse, hardworking people are leading the way in making energy cleaner and better – and how you can play your part in our world-class team?
Key Accountabilities
Strategy, Frameworks & Methodology:
Responsible for modelling-related frameworks, methods and work products and the overall strategic approach to drive value from modelling
• Establishes alignment of technologies to enable record keeping including model management, cataloguing, master, reference and metadata management
• Defines roles and responsibilities including hand-offs and controls for all data modelling SMEs and their relationships with interfacing teams
• Defines and maintains data modelling related work products as part of the DAS data change methodology
• Represents DAS for all elements of the data model as part of a formal Design Authority providing governance oversight
• Delivers modelling strategies which are optimised for read & write, curated reusable store as well as adaptable analytics constructs
Business Information Model:
Maintains the Business Information Model layer of the corporate data model, ensuring integration across all layers
• Analyses and groups ‘like’ data into business domains
• Identifies new candidate data items to be added to the Business Information Model (BIM), resolving duplicates
and conflicts in definitions and standards as part of the process
• Recommends candidate data owners through domain modelling
• Works with Business Process Experts and source system experts to determine data standards
• Ensures interlink through layers of the data model (concept, business to physical)
Model Delivery:
Crafts physical models which support delivery of analytics-ready data packets for exploitation in a data science setting
Crafts data structures which deliver efficient performance for speed of analytic response
Sets out mappings to the optimum source of reusable data of known quality
Supports the creation of innovation labs in a way which exploits knowledge of data completeness within models and stores
Data Catalogue:
Maintains record keeping which determines ‘best version of truth’ and completeness of definitions and quality characteristics
Interprets and models inventories of data associated with functions or projects to identify domains and candidate data owners
Ensures maximum re-use of data through identification of common data items across multiple initiatives linking them to pre-exiting data repositories
Project Delivery:
Coordinate advisescts colleagues and participates in delivery of data modelling activities
Educates key stakeholders on the broader role of the data model and how it can be used most effectively across a data change portfolio
Plays a meaningful role in modelling in-scope data within a given change project and assisting in the identification of relevant domain data owners
Engages with IT to avoid a disconnect between a business view of data and the physical view of data structures and application data tables
Takes accountability for the sign-off of data models produced by projects, ensuring they are aligned to the enterprise data model and data architecture principles
Inputs into and approves data warehouse design including the definition of layers, modelling approach for each and their acceptable use
Takes accountability for resource management of the modelling team including understanding current and pipeline, aligning tasks to the overall team objectives and prioritising accordingly
Crucial Education
Core systems experience incl. SAP, iBPM, Oracle
5 years+ Enterprise Data Modelling across all layers
Technology, frameworks & accelerators (ERWIN / Sparks / Zachman / Industry data models)
Catalogue & metadata management
Data ownership, stewardship & governance
Relevant project / change methodology
Experience across both operational and analytical settings
Travel Requirement
Relocation Assistance:
Remote Type:
Skills:
Legal Disclaimer:
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.
If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.