Digital Systems Project Manager

Lazenby
1 year ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst Business Coach

Data Analyst Business Coach

Data Engineer

SC Cleared Data Analyst

Enterprise Data Architect - Oracle Fusion

Digital Systems Project Manager – 6 months + (Fixed Term Contract)

Reporting to the Senior Project Manager
Based in: Wilton
Salary: Negotiable - Whilst all salaries are graded, Sembcorp are keen to attract, retain and develop the highest calibre of colleague. The company also offer a market leading benefits package and annual bonus.

Position overview:
This role will play a key part in development and execution of the digital systems and the delivery of additional capabilities to existing systems through a product development methodology. Working across all areas of the UK business they will collaborate with internal and external stakeholders, including software development, data science, cyber security, and IT to transform the digital capability within Sembcorp Energy UK.

Key Roles and Responsibilities:
• Leading the development and subsequent execution of strategic digital system projects from end-to-end.
• Lead the production of business cases, identifying and analysing potential opportunities and the return on investment.
• Leading the development of additional capabilities for existing digital products.
• Lead the development of new business processes aligned with capabilities on offer from the digital products.
• Coordinating and monitoring projects and change activities to ensure they meet the required quality and deliver to schedule and cost.
• Ensuring effective project structures and governance frameworks are employed.
• Managing both internal and external software developers.
• Ensuring requirements are effectively and accurately captured and communicated to developers.
• Ensuring effective strategies and plans are developed and maintained to manage risks, issues, stakeholders, and quality.
• Proactively managing dependencies between other projects and business as usual activities.
• Supporting and mentoring the Project Sponsor.
• Reporting project performance to the Transformation Office.

Essential:
• Project management qualification, preferably digital systems related such as Agile or Scrum.
• At least 10 years’ experience of project or product management.
• Demonstrate success in delivery of complex projects in leveraged environments and using multiple partners.
• Knowledge of project management tools and techniques specifically planning reporting and governance.
• Experience of building and leading effective project teams across a complex business in a matrix delivery model.
• Ability to work independently and collaboratively with business and technology colleagues.
• Ability to manage remote teams and work with multiple diverse stakeholders, both internal and external, including virtual international development teams.
• Experience of working with and influencing senior business leaders or Project Sponsors for complex digital system projects.

For more information on this opportunity please contact at retained recruitment partner Adam Pearson at Imperial Recruitment Group

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.