Senior Digital Engineer

at  BP

KEY ACCOUNTABILITIES

• Serve as a liaison between business, development, and technology teams, working as part of a cross-disciplinary group that includes project managers, analysts, architects, and business partners while demonstrating deep business intelligence and analytical expertise.
• Apply deep commercial insight to advise strategic planning and decision-making across multiple business entities.
• Effectively work with cross-disciplinary collaborators and stakeholders across multiple business entities to understand use cases, data requirements, and value cases.
• Create and articulate materials to communicate delivery plan, value delivered and cost.
• Review and ensure the use case, value case, acceptance criteria, the definition of done, and KPIs are clearly gathered, supervised, and aligned with the digital and data strategy.
• Understand agile and dev/sec/ops ways of working across teams.
• Apply existing and develop new data strategies across multiple business entities by translating companywide strategies to business areas.
• Partner with Engineering, IO, PMO, and business stakeholders to define and develop data infrastructure and products.
• Work with business partners to implement data strategy and coordinate data remediation plans to ensure data sets and data products meet business requirements.
• Interact with data teams on data models and data pipelines to ensure sufficient data is provided for appropriate analysis and reporting and communicate issues on data quality and process improvement.
• Set and implement data standards, co-design data schemas, ensure quality at the source, and find opportunities to (semi-) automate manual data processes wherever possible.
• Provide actionable, data-driven business and product insights by combining broad statistical skills, data manipulation capabilities, and eye for business.
• Set the long-term technical goal and strategy for delivering on requirements of high impact, scale, reliability, performance, and development velocity.
• Own the end-to-end scope of data management across business areas and look for automation opportunities.
• Responsible for deploying secure and well-tested software that meets privacy and compliance requirements.
• Provide deep data domain knowledge and business context around data sources and data products.
• Deep understanding of all data domains in your business entity/enabler area.
• Proactively identify impactful opportunities and autonomously implement data analysis.
• Identify, clean, and prepare data sources for analysis, while defining and maintaining key metrics. Build and lead dashboards to supervise performance, providing clear insights that support decision-making and continuous improvement.
• If needed, build and maintain data pipelines to unblock your analysis.
• Provide leading insight into industry and technology trends and standard processes to shape Archaea’s data agenda and platform to create a culture of excellence.
• Enforce and advocate for standard processes in data management, analytics, and development, while actively contributing to improving processes, quality, and developer velocity. Promote continuous improvement to ensure efficient and high-quality outcomes.
• Drive standards for engineering excellence that lead to impact, scale, and customer satisfaction.
• Successfully translate and present analytical outcomes and insights to peers, senior management, and executive leadership, crafting relevant narratives that enable decision-making.
• Effectively Identify and communicate information with various audiences, including leaders, project managers, developers, analysts, and business personnel, ensuring alignment and understanding across all levels.
• Understand relevant external markets and trends and customer needs and behaviors.
• Further positive engagement and drive an inclusive work environment by promoting teamwork across teams and partners. Ensure high-quality interactions that build trust and enhance partnership across multiple functions.

ESSENTIAL EDUCATION

Bachelor’s degree in a scientific, quantitative, or business field. Or significant work experience in such areas exhibiting capabilities represented between the essential and desired qualifications.

ESSENTIAL EXPERIENCE

• Hands-on experience (typically 8+ years) in designing, planning, publishing, maintaining, and documenting reliable, scalable data infrastructure and data products in sophisticated, global environments.
• Hands-on experience (typically 7+ years) carrying out data analysis, data mining, and insight generation in sophisticated, fast-paced environments.
• Strong data management, data governance, and process automation knowledge and experience in sophisticated, global environments.
• Strong eye for business and expertise in planning and performance management.
• Experience driving key product innovations and technical roadmap across partners.
• Deep knowledge and hands-on experience in technologies across all data lifecycle stages.
• Applied knowledge of data analytics tools (e.g. business intelligence applications) and approaches across all data lifecycle stages.
• Applied knowledge of data analytics and data pipelining tools and approaches across all data lifecycle stages.
• Ability to write and maintain moderately sophisticated data pipelines.
• Thorough understanding of underlying mathematical foundations of statistics, including knowledge of experimental design and analysis and causal inference from observational data.
• Customer-centric and pragmatic mentality. Focus on value delivery and swift execution, while maintaining attention to detail.
• Ability to deliver recommendations and actionable insights to a wide range of stakeholders.
• Strong communication and collaborator leadership skills. Ability to lead large organizations through influence.
• Continuous learning and improvement mentality.
• Knowledge of SQL, Python, R, or other languages.

SKILLS:

Adaptability, Analytics, Business Analysis, Coaching, Communication, Configuration management and release, Creative Approaches, Digital Project Management, Documentation and knowledge sharing, Facilitation, Highly Resourceful, Information Security, Innovation, Mentoring, Metrics definition and instrumentation, Positive Attitude, Quality Awareness, Risk Management, Service operations and resiliency, Stakeholder Management, Supplier Relationship Management, System Design

We are looking for a skilled and expert Senior Digital Engineer to play a key role in advancing how we apply data and technology to support business operations. This position calls for someone who can optimally connect business needs with technical solutions, helping to drive practical digital transformation efforts within the company.
This role will act as a business liaison and technical lead for product development, design, data engineering, architecture, analysis, and visualization, you will develop and implement data-driven solutions across the organization driving innovation and transformation. You will work closely with multi-functional teams to improve business processes, optimize data workflows, and deliver reliable, scalable, dynamic solutions that enhance operational efficiency and cost savings. Limited travel is expected with this role (less than 10%).