National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Business Value Services Director, EMEA Apps (AI)

Oracle
UK
9 months ago
Applications closed

Related Jobs

View all jobs

Associate Director of AI

Data Engineering Manager

Director of Data Engineering | London | Remote

Director (Data Science)

Director-Data Science and Analytics

Senior Marketing Data Scientist - Strategic Growth Partner

Business Value Services Director, EMEA Apps (AI) This is an exciting opportunity to join our new AI Business Value team. Not only a thinker, but a practitioner, you will have implemented strategies, operational models, setup AI/Data labs and more. You will be responsible for acting as the 'voice' of AI technologies, trends and best practices for customer engagements. Creating the case and roadmap for customers to adopt AI at scale. Recently cited by Forbes as an AI Powerhouse, Oracle is one of the leading cloud and enterprise application providers Oracle is experiencing massive growth in AI currently. Idea candidate must have experience in - Consulting: At least 2 years of consulting experience with a tier 1 management consulting firm or technology provider - AI : Experience working in field of AI, data & analytics. - Operationalising: implementing the strategy, scaling-out and proving the value - Adoption experience: Demonstrable experience of increasing adoption for solution and/or , features in an enterprise environment - Commercial Acumen: Excellent commercial awareness and the ability to influence senior stakeholders with a creative, problem-solving approach. You will be at the forefront of developing compelling AI programs and content within Oracle that will be used programmatically by the field teams and working actively to support clients in tackling some of their most complex business problems using data, cloud and AI technology. You will take an integral role in identifying, shaping, and cultivating new opportunities to work with clients, always in close partnership with other Oracle teams. Position Responsibilities: - Act as an AI Pioneer: the AI business value domain expert who is first in front of customers executives to articulate our AI value proposition. - Infuse an 'AI vision' into client pitches, using provocative, compelling AI content & presentations that excite customers and position the benefits of adopting Oracle-AI-at-scale within their organisation - Identify & prioritize high-value AI use cases that may be quickly realized using Oracle AI solutions and services - Own Value Delivery: Lead the value framing and delivery during pre-sales and bid, ensuring alignment with the client's data science teams, use case owners and executives. - Know the building blocks required to build & deploy AI solutions at scale, including cloud & AI Infrastructure, AI services and SaaS Additional skills you will need - Very strong analytical skills - Excellent communication with strong presentation skills and knowledge of prevalent methodologies and frameworks. - Ability to understand and adapt to complex client environments and situations. Skilled at problem definition, communicating, motivating, and influencing change at executive levels - Fluency in English; knowledge of an additional language would be advantageous. - Ability to travel across EMEA (50%) LI-TR1 Responsibilities Partners with Account, Technology, and Application sales representatives to qualify and close new business on Oracle solutions. Provides specific industry or product expertise to facilitate the closing of deals within sales representatives territory. Interacts with sales team to architect the solution, and develop and execute solution strategies for market. Manages solution opportunities to obtain appropriate and necessary resources for all qualified opportunities. Leads teams in the sales process for establishing market visibility and deal visibility. Presents/demonstrates solution to high level clients and industry conference attendees. May provide training to field sales on industry/solutions. Builds and maintains a network and up to date specific industry or product knowledge. About Us As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems. True innovation starts with diverse perspectives and various abilities and backgrounds. When everyone's voice is heard, we're inspired to go beyond what's been done before. It's why we're committed to expanding our inclusive workforce that promotes diverse insights and perspectives. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40 years of change by operating with integrity. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by calling 1 888 404 2494, option one. Disclaimer: Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. - Which includes being a United States Affirmative Action Employer

National AI Awards 2025

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.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.