Digital Intelligence Lead

2 months ago

Lincoln, Lincolnshire, United Kingdom Siemens Energy Full time

About the Role

As the Digital Intelligence Lead at Siemens Energy, you will be responsible for guiding the business on data architecture and data engineering to best deliver strategic data and business intelligence solutions.

You will also be responsible for developing application services to our internal customers, that are defined by our business processes. You will need to interface and network across all business functions within the organization and will have the opportunity to mentor and guide the existing Digital Intelligence (DI) team.

Key Responsibilities

  • Mentor and support the progression of Digital Intelligence colleagues in the Transformation team with particular respect to Data Engineering and Data Architecture.
  • Work multi-functionally with the Head of Transformation and the Digitalisation Manager in formulating a strategy for the company's Digital and Data infrastructure and act as their main point of contact for Data Infrastructure.
  • Deliver digital based solutions to improve the operation, efficiency, and accuracy of functions across the business.
  • Provide direction for, and assist in, the development of a digital architecture that will facilitate a multitude of different project use cases.
  • Facilitate the implementation of a Data Governance process.
  • Work alongside internal and external partners to translate their business requirements into workable solutions.
  • Optimise and innovate our end to end data pipeline.
  • Identify and work with related projects to address any interdependencies, ensuring a coordinated portfolio of projects.
  • Identify, share and promote best practices and lessons learned to create a culture of learning and good practice that supports continuous improvement.

Requirements

  • Relevant BSc or MSc degree or equivalent experience essential.
  • Significant experience with digital programmes and project working environments.
  • Experience using data science programming languages, such as SQL, Python, and R.
  • Proven understanding of industry standard processes for data governance and infrastructure.
  • Experience leading the planning and task management of Data Engineering/Science projects.
  • Demonstrable experience leading teams to deliver positive outcomes to time, budget and quality, and coaching and mentoring other colleagues.
  • Ability to create statements of work/project charters and manage projects in our Project Management software.
  • Knowledge and understanding of common applications such as SAP, Team Centre, Salesforce, SharePoint, Power Platform desirable.
  • Experience of working with databases, managing Data Migration and Integration projects, and using Data visualisation software, such as Tableau or PowerBI advantageous.

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