Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Oracle ERP/EPM Application Manager

Reading
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Commercial Data Analyst - EMEA

Data Analyst

Data Engineer (MS Fabric, Databricks - Legal)

Senior Data Analyst, Financial Strategy and Customer Operations

Data Engineer (MS Fabric, Databricks - Legal)

Data Analytics(For Audit) Senior Manager or Manager – Flexible on Location

Oracle ERP/EPM Application Manager

Location: RG7 4PR, located between Reading and Basingstoke, with free onsite parking.

Package: from £48,250 (depending on your suitability, qualifications, and level of experience)

Working pattern: AWE operates a 9-day working fortnight.

Let us introduce the role

AWE is currently recruiting for an Oracle ERP/EPM Application Manager for the Enterprise Applications group.

Key Accountabilities:

Delivering a resilient support service to the business that fulfils user requirements and service level agreements.
Implement application changes in line with IS/IT processes, procedures, and policies to budget, time, and scope.
Maintain the application roadmaps with the Senior Application Services Manager and Head of Enterprise Applications.
Manage the application change backlog.
Communicate with key business stakeholders to ensure solutions meet expectations.
IT functional consultancy for the applications
Management of resources to support the application.
Maintain the IT application configuration baseline and system architecture in accordance with corporate IS/IT specifications.

Key Responsibilities:

Work collaboratively with the business relationship managers and customers to prioritise and schedule work.
Maintain strong working relationships with internal and external stakeholders, ensuring excellent levels of engagement, collaboration, and forward planning.
Contribute to budget planning.
The Company may require you to fulfil any other reasonable duties aligned to your position from time to time in line with business needs.
Responsible for supporting key auditing controls.

Who are we looking for?

We do need you to have the following:

Delivering innovative Finance, Projects (PPM) and Procurement solutions at enterprise scale.
Implementation and expert use of the Oracle Fusion ERP and EPM functional areas of the Oracle platform
IT service, change, and application lifecycle management
IT environment management (development, staging, production, etc)
Excellent communication skills with the ability to convey appropriate detail to technical and non-technical audiences at all levels of seniority.
Business relationship and stakeholder management
Vendor and contract management
People management and leadership

Whilst not to be considered a tick list, we'd like you to have experience in some of the following:

Implementation and expert use of the entire Oracle Fusion platform
Implementation and expert use of the Oracle Primavera P6 platform
Integration of Finance, Projects (PPM) and Procurement applications with other information systems such as HR, including data flows, master data management, etc
Data mastery; surfacing data for business intelligence
The application of Artificial Intelligence (AI) within the context of Oracle ERP and EPM
ITIL Service Management certification
Working within a SIAM framework
Managing IT in a secure, complex, and highly regulated environment
Finance management.
Relevant software vendor training and certifications

You'll need to have the ability to work calmly and constructively in a priority changing environment and be able to manage your own workload. You will also have initiative, enthusiasm, a flexible approach, and ability to work to tight deadlines.

Some reasons we think you'll love it here:

AWE has wide range of benefits to suit you. These include:

9-day working fortnight - meaning you get every other Friday off work, in addition to 270 hours of annual leave.
Market leading contributory pension scheme (we will pay between 9% and 13% of your pensionable pay depending on your contributions).
Family friendly policies: Maternity Leave - 39 Weeks Full Pay and Paternity Leave - 4 Weeks Full Pay.
Opportunities for Professional Career Development including funding for annual membership of a relevant professional body.
Employee Assistance Programme and Occupational Health Services.
Life Assurance (4 x annual salary).
Discounts - access to savings on a wide range of everyday spending.
Special Leave Policy including paid time off for volunteering, public service (including reserve forces) and caring.
Policy including paid time off for volunteering, public service (including reserve forces) and caring.

The 'Working at AWE' page on our website is where you can find full details in the 'AWE Benefits Guide'.

Hybrid working is available for this role on an informal, non-contractual basis. Typically 2/3 days onsite per week.

Our ambition is to create workplaces where we recognise and celebrate differences, encourage diverse contributions and our employees feel able to be themselves at work. We strive to create a genuine culture of openness and inclusion and encourage diverse applicants. Any inclusion information you provide will be stored in accordance with GDPR and kept separate from your application form and CV, and the information will not be shared with anyone involved in interviewing or making hiring decisions.

Next steps:

Everyone who works at AWE brings unique skills and perspectives to the table. We recognise that great people don't always 'tick every box'. That's why we focus on your potential, your fit with our values, your transferable skills as well as your experience. Even if you don't meet every point above, but you feel that this role and AWE are a great fit for you, please go ahead and apply, we'd love to receive your application.

Important things you need to know:

We encourage you to apply promptly to avoid disappointment if applications are high and the role therefore closes.
You will need to obtain and maintain the necessary security clearance for the role. This will be funded by AWE. The nature of our work does mean you need to be a British Citizen who has been resident in the UK for the past 5 years in order to apply for SC clearance and 10 years for DV.
We want you to feel comfortable and able to shine during our recruitment process. Please let us know on your application form if you need any adjustments/accommodations during the process.
Our interviews typically take place over Teams and for most roles are a 1 stage process.

#LI-AT

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.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.