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Finance Digital Transformation Advisor

Finance Digital Transformation Advisor

  • Location United Kingdom - South East - Sunbury
  • Travel required Negligible travel
  • Job category Finance Group
  • Relocation available No
  • Job type Professionals
  • Job code 126505BR
  • Experience level Senior
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Job summary

As the Finance Digital Transformation Data Science lead you will work as part of the Planning and Performance Management (PPM) Digital Transformation Data & Analytics team to help transform and evolve the PPM landscape.

In this role you will leverage our centralized PPM organization and transformation teams to build a data science service that will create and sustain central and business embedded data & analytics products creating tangible business value.

This leadership role will be perfect for you if you have strong data science and management experience; you will require a clear understanding of what ‘data science problems’ are, the knowledge to shape and define them in business terms, and the technical knowledge and experience to execute them successfully. You will need to do this whilst managing expectations and communicating outcomes with key stakeholders.

This will include defining how and when we use data science within our centralized data & analytics transformation model, as well as supporting the development of the capability in PPM more broadly. This role will involve working with a range of stakeholders across the PPM organization, spanning business activity, data types and analytic requirements from across the group.

We want you to set out a roadmap for centralized data science services; maintaining and coordinating a demand pipeline with other data science activities across PPM, overseeing data science experiments and analytical models, and working closely with business, finance, Innovation & Engineering stakeholders to sustain and optimize them.

As the successful candidate you will also be responsible for developing and sustaining data science models & predictions for a key planning & performance management product. This will require the oversight of the data science scope, working closely with the PPM Solutions team on prioritization, and managing a small team of data scientists on delivery. In this context, the incumbent will work closely with other team leads, including data engineering, data management, developers and deployment.

• Develop and lead a Data Science service in support of the Finance PPM centralized data & analytics transformation; developing solutions to drive value through the modernization of core PPM activities, creating insight for business stakeholders, and bridging across existing data science activities in PPM to drive value through re-use
• Oversee a data science team to support successful delivery of the “myBudget” product data science analytics; provide clarity of direction and purpose, prioritisation and assure delivery in line with project needs & central data and analytics strategy
• Manage and prioritise the PPM data science product backlog; profiling and assessing demand from Finance PPM stakeholder - including central transformation projects as well as de-central (business embedded) data products
• Oversee the sustain & exploitation of existing data science products, including delivery of data science predictions and updates per the agreed schedule with business stakeholders
• Drive continuous improvement in the data science process, including proactively suggesting enhancements to models that will drive business value
• Actively contribute to Finance data science community of practice and capability development
• Make business recommendations with effective presentations of findings through visual displays of quantitative information
• Support the bp and Finance data strategy including adherence to bp standards and regulatory requirements.
• Develop and maintain understanding of Planning & Performance Management activities and the associated data & analytical requirements

Essential Education and Experience
• Master’s or Ph.D. Degree in Computer Science, Statistics, Mathematics, Economics, or equivalent experience
• Experience of leading a data science team.
• Hands on experience in machine learning methods including clustering, regression
• Hands on experience in Time Series Forecasting
• Track record of developing production-ready and scaled/scalable machine-learning models, including knowledge of CI/CD for data science
• Up-to-date understanding of cloud platform capabilities related to data science, Azure or AWS preferred.
• Extensive knowledge of Python
• Familiarity with relational databases and advanced knowledge of SQL
• Ability to implement data visualization tools to draw insights from data science work e.g. (PowerBI, Tableau, Spotfire)
• Proven ability to collaborate with subject matter experts across the technology landscape to develop data & analytical solutions to meet current and future needs
• Demonstrable experience in articulating business value that can be delivered through data science, and a track record of leading and executing projects working with senior stakeholders
• Ability to develop relationships with the business experts, to draw out domain knowledge that can be applied to the data science process
• Willingness to scrutinize model results and continuously improve models
• Must be comfortable working in a cross-functional agile team and navigating organizational dependencies to ensure delivery of results

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.


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