IT Product Owner

KBR
Leatherhead
3 weeks ago
Create job alert

Title:

IT Product Owner

KBR is a global provider of differentiated, professional services and technologies delivered across a wide government, defense and industrial base. Drawing from its rich 100-year history and culture of innovation and mission focus, KBR creates sustainable value by combining engineering, technical and scientific expertise with its full life cycle capabilities to help our clients meet their most pressing challenges today and into the future.

KBR employs approximately 29,000 people worldwide (including our joint ventures), with customers in more than 80 countries, and operations in 40 countries, across two synergistic global businesses.

KBR is looking for an IT Software Development Product Owner to work in our Leatherhead office.

DUTIES AND RESPONSIBILITIES:

This role acts as a liaison between IT development groups and business units for the development and implementation of new systems and enhancement of current systems.

  • Evaluates new applications, system requirements, developments in field of expertise, and evolving business needs to recommend appropriate solutions and alternatives.
  • Under general direction, uses specialized knowledge or skills to solve complex and unique problems, or direct the daily activities of a business, technical support, or functional support team.
  • Establishes priorities for the completion of assigned tasks. Uses judgment to interpret internal and external issues and develop best practices.
  • May direct resources, prioritize tasks, and provide guidance to less experienced team members. Relies upon experience, interpersonal skills, and broad knowledge of field to ensure task completion in compliance with policies, procedures, and business strategy.
  • Serve as an agile product owner ensuring our software development projects align with customer needs and deliver maximum value while adhering to agile scrum methodologies.
  • Drive analysis, validation, and verification to determine what data is required to support business needs, where it is created, read, updated, and deleted and the quality criteria associated with it.
  • Lead in the coordination of effort with staff, vendors, and customers to understand the business requirement to design the data architecture, solutions, and processes.
  • Support the definition of road maps and portfolios of change that reflect business strategy and performance objectives.
  • Lead on the development of processes including models (conceptual, logical, and physical).
  • Delivery of customized reports and recommendations to support on-going business decisions and customer reporting requirements.
  • Establish strong relationships with teams across the business.

Required Education and Experience:

  • Bachelor’s Degree in a relevant discipline or area with a relevant number of years’ work experience as a Business Analyst or Project Manager.
  • Scrum Product Owner certified preferred.
  • Sound judgement, attention to detail, accuracy, and follow-through on actions including the flexibility to perform in an ever-changing work environment.
  • The ability to communicate complex ideas in a clear, concise manner (verbal and written) across functional and technical departments.
  • Possess the capacity to work on multiple tasks at any one time, handling conflicting demands, prioritize workload and effectively delegate while maintaining high quality standards. Ability to work across swim lanes and deliver results.
  • Expertise in rapidly comprehending the functions and capabilities of new technologies.
  • Stakeholder management skills to facilitate change delivery in a busy working environment with competing day-to-day priorities. High emotional intelligence and solid interpersonal and relationship building skills.

#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Product Owner ( CRM )

Product Owner

Permanent Data and Analytics Product Owner

Vice President, POM Product Owner II

Vice President, POM Product Owner / Business Analyst

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

Data Science Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Data science has become a linchpin in modern business, transforming oceans of raw data into actionable insights that guide strategy, product development, and personalised customer experiences. With this surge in data-centric operations, the need for effective data science leadership has never been more critical. Guiding a team of data scientists, analysts, and machine learning engineers requires not only technical acumen but also the ability to foster collaboration, champion ethical practices, and align complex modelling efforts with overarching business goals. This article provides practical guidance for managers and aspiring leaders aiming to excel in data-driven environments. By exploring strategies to motivate data science professionals, develop mentoring frameworks, and set achievable milestones, you will be better prepared to steer your team towards meaningful, evidence-based outcomes.

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.