Data Modeler

Grade H Responsible for coordinating activities of a team to support the delivery of a range of business activities, driving consistency in terms of commercial deliverables and requirements, ensuring full compliance with all relevant standards and agreements, and providing business oversight and operational assurance.

Entity:

Finance

Job Family Group:

Business Support Group

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 worlds 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

Negligible travel should be expected with this role

Relocation Assistance:

This role is eligible for relocation within country

Remote Type:

This position is a hybrid of office/remote working

Skills:

Agility core practices, Analytical Thinking, Commercial Acumen, Communication, Creativity and Innovation, Data Analysis, Decision Making, Digital fluency, Integration, Managing strategic partnerships, Research and insights, Risk Management, Stakeholder Engagement, Stakeholder Management, Sustainability awareness and action

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.