Key Responsibilities

• Apply existing and develop new data strategies across multiple business entities by translating bp-wide strategies to business areas.
• Apply deep commercial insight to inform strategic planning in business entities and manage data portfolio spend.
• Provide leading insight of industry and technology trends and best practices to shape bp’s data agenda and platform to create a culture of excellence.
• Lead the end-to-end scope of data management across business areas and look for automation opportunities.
• Lead, grow, develop and manage data managers that write, deploy and maintain data products at bp.
• Create positive engagement and governance framework and drive an inclusive work environment with teams and stakeholders including product owners, product managers and portfolio managers.
• Effectively work with cross-disciplinary collaborators and stakeholders across multiple business entities to understand use cases, data requirements and value cases.
• Provide support to the squads providing technical guidance, managing dependencies and risks.
• Review and ensure use case, value case, and ensure acceptance criteria, definition of done and KPIs are clearly captured, tracked, and aligned with the digital and data strategy.
• Set and implement data standards, co-design data schemas, ensure quality at the source, and identify opportunities to (semi-) automate manual data processes wherever possible.
• Provide deep data domain knowledge and business context around data sources and data products.
• Work with business partners to implement data strategy and to coordinate data remediation plans to ensure data sets and data products meet business requirements.
• Adhere to and advocate for data management best practices.
• Create and articulate materials to communicate delivery plan, value delivered and cost.
• Present results to peers and senior management to influence decision making.
• Accountable for the scope, definition, test results-validation, and signoff of data quality testing.
• Actively sponsor and mentor emerging talent and promote a culture of continuous development.

Essential Experience, Job Requirements & Education

• Bachelor's Degree in Computer Science or equivalent with more than 12 to 15 years of experience.
• Experience leading, growing, and developing teams (preferably with data relevance) in size of 30 – 150.
• Hands-on experience in data management, data governance and process automation in complex, global environments.
• Strong communication and stakeholder management skills essential.
• Customer-centric and pragmatic mindset.
• Focus on value delivery and swift execution, while maintaining attention to detail.
• Strong business acumen in the energy trading and shipping business.
• Applied Hands-on knowledge of data management and governance across all data lifecycle stages essential.
• Experience of delivery of data products within cloud platforms such as Azure and AWS.
• Deep knowledge and hands-on experience in technologies across all data lifecycle stages.
• Strong stakeholder management and ability to lead large organizations through influence.
• Ability to lead large organizations through influence.
• Continuous learning and improvement mindset.

Foundational Skills

• Strong data transformation and manipulation skills.
• Strong hands-on SQL skills.

About bp

bp is a global energy business with a purpose to reimagine energy for people and our planet. We aim to be a very different kind of energy company by 2030, helping the world reach net zero and improving people’s lives. We are committed to creating a diverse and inclusive environment where everyone can thrive. Join bp and become part of the team building our future!

Travel Requirement: No travel is expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working

Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms, Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving.