As a member of the Mobility & Convenience, Fleet & Pulse Technology leadership team, you will collaborate with strategic technology leaders and senior leaders across both the Mobility and Convenience Technology organization and the regional businesses to ensure the businesses are supported with safe & compliant operations & underpin key commercial strategies.

You will work with a diverse group of professionals, including data scientists, data architects, and data analysts and collaborate with regional data and compute teams to manage data pipelines and visualization. In addition, you will work closely with the SAP Transformation Team, Quantum, to ensure base data models are addressed. You will also offer expertise to all data teams within the M&C organization to ensure the correct deployment of data tools, frameworks, and skills across the organization.

This role will also closely collaborate with the Head of Department (HOD) to advance the application of AI and data.

The Principal Data Manager will bridge the gap between data engineering and analysis, ensuring that data structures are optimized for both storage and analysis, maintaining robust, scalable, and efficient data models that serve as the foundation for all data-related activities within an organization. They work closely with data engineers to develop and maintain databases or data warehouses, ensuring data integrity and consistency. The role involves collaborating with data analysts and data scientists to understand their requirements and translate them into efficient data models. Additionally, a data manager conducts data quality assessments, complies with data governance policies, and optimizes data workflows to enhance overall data accessibility and usability.

As part of a cross-disciplinary team, working closely with business partners, other data managers, product managers, data engineers, data analysts and software engineers. You will lead the setting of data standards, lead the design of data schemas, ensure quality at the source and write code to (semi-)automate manual data processes wherever possible.

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 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!

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.