At a Glance
- Tasks: Join our AI Enablement team to revolutionise business processes and drive organisational change.
- Company: Be part of PA Media Group, a leader in media innovation and diversity.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Join a small, agile team where your ideas can thrive and shape the future.
- Why this job: Make a real impact by transforming how we work with cutting-edge AI solutions.
- Qualifications: Experience in AI transformation or consulting, with strong facilitation skills.
The predicted salary is between 36000 - 60000 £ per year.
Driven to connect talent with opportunity. Passionate about creating environments of diversity and inclusion. Rare opportunity to join PA Media Group's new AI Enablement team as a founding transformation consultant who understands product development. You are not here to maintain backlogs and run sprints – you are here to hunt for business processes ripe for AI disruption, rapidly prototype new ways of working, and facilitate organisational change at pace.
You will work across our PA Media, Alamy, Podium, StreamAMG, and Press Release & Marketing Services businesses, mapping current processes, identifying inefficiencies, and designing AI-enabled alternatives that deliver outcomes faster, cheaper, or better. Think management consultant meets product innovator – you will facilitate workshops, build business cases, prototype solutions, and drive adoption of new ways of working. This role suits an enlightened Product Owner who has delivered AI transformation, or a sharp consultant with hands-on AI implementation experience.
The Opportunity: This is a founding team member role – you will help establish the culture, processes, and ways of working for this new unit. We deliberately keep the team small and agile, working with minimal bureaucracy and maximum autonomy. You will operate with the freedom to experiment, fail fast, and scale successes without navigating layers of approval.
Core Responsibilities:
- Hunt and map transformation opportunities across our business units through continuous stakeholder engagement and process analysis – identifying where current workflows create friction, waste time, or limit capability, then designing AI-enabled alternatives that deliver measurably better outcomes.
- Facilitate rapid discovery and ideation using structured workshop techniques to extract deep process knowledge from business teams, challenge assumptions about "how things must be done," and co-create AI-enabled solutions that stakeholders believe in because they helped design them.
- Move at pace through rapid proof-of-concept cycles – prototype AI-enabled process improvements in days, validate with actual users in their working environment within weeks, and scale successes quickly using lean approaches that eliminate unnecessary friction.
- Build compelling business cases that secure commitment by quantifying expected value across efficiency gains, quality improvements, and new capabilities unlocked – speaking the language of different stakeholders from operational leaders to commercial directors.
- Drive adoption through change management – you are not just delivering prototypes, you are facilitating organisational transformation, ensuring new AI-enabled ways of working actually get adopted and deliver the promised value.
- Own the opportunity backlog with ruthless prioritisation focused on rapid value delivery, making pragmatic trade-offs that balance quick wins against strategic transformation initiatives, killing experiments that don’t demonstrate value.
- Drive initiatives from concept through to production using rapid delivery approaches that enable fast learning, pivot quickly when assumptions prove wrong, and scale aggressively when solutions demonstrate clear value.
- Educate and engage business stakeholders on AI potential and risks, building informed enthusiasm whilst establishing appropriate governance that enables innovation without compromising our commitment to trust and integrity.
Strategic Contributions:
- Rapidly prototype breakthrough solutions using agentic AI tools, proving value through working demonstrations that stakeholders can experience directly – turning scepticism into excitement through tangible results rather than theoretical discussions.
- Create self-service AI capabilities that democratise access across the organisation – building prompt libraries, configuration templates, and low-code solutions that enable teams to solve their own challenges without waiting for engineering resources.
- Establish lightweight frameworks for responsible and ethical AI deployment that protect against risks without creating bureaucratic overhead – enabling teams to experiment safely whilst maintaining the trust our customers depend upon.
- Champion AI adoption through compelling workshops and facilitation – you are exceptional at reading a room, building consensus, navigating organisational politics, and maintaining momentum even when stakeholders have competing priorities or resist change.
- Continuously scan the AI horizon for emerging capabilities, experimenting with new tools and techniques to identify opportunities before competitors recognise them.
- Sharp intellect and commercial acuity that enables you to quickly grasp complex business processes, identify leverage points for transformation, and articulate value in language that resonates with diverse stakeholders.
- Exceptional facilitation and communication skills that build enthusiasm and drive consensus – you run workshops that energise participants, navigate organisational dynamics with political savvy, maintain momentum through inevitable obstacles, and secure commitment from stakeholders who initially resist change.
- Process analysis and redesign expertise – you can map current-state processes with forensic detail, identify inefficiencies and bottlenecks with fresh eyes, and design future-state workflows that leverage AI capabilities to achieve dramatically better outcomes.
- Hands-on AI implementation experience delivering business transformation – you’ve moved beyond theory to actually deploy AI solutions that changed how organisations work, learned from failures quickly, and scaled successes aggressively.
- Strong AI literacy with practical prototyping capability – you’re fluent with modern AI tools, can engineer effective prompts, understand capabilities and limitations well enough to identify opportunities, and can build quick prototypes that prove concepts.
- Comfort with ambiguity and pace in a newly formed team – you thrive in environments with minimal process, create structure where needed without adding unnecessary friction, and maintain momentum when the path forward isn’t immediately clear.
- Proven stakeholder influence without relying on positional authority – you build enthusiasm through demonstration rather than presentation, secure commitment through rapid value delivery, and maintain trust even when experiments fail.
- Commercial judgment about prioritisation – you instinctively understand the difference between impressive innovations and value‑creating transformations, making pragmatic trade‑offs that balance business impact against implementation complexity and organisational readiness for change.
- Experience working within media, content or data‑intensive industries where you’ve seen the challenges of scale, quality, and trust firsthand.
- Background in management consulting, business process reengineering, or operational transformation that gives you structured frameworks for analysing and redesigning workflows.
- Understanding of change management methodologies and organisational psychology that informs how you drive adoption of new ways of working.
- Experience navigating matrix organisations or working across multiple business units with distinct cultures, priorities, and commercial models.
- Proficiency with tools such as JIRA, Confluence, Miro, or similar platforms for process mapping, workshop facilitation, and knowledge management.
- Background in journalism, content operations, or related fields that gives you intuition for editorial workflows and content quality challenges.
Product Owner - AI in London employer: PA Media
PA Media is an excellent employer for those seeking a dynamic role in legal reporting, offering a supportive work culture that prioritises employee development and career progression. Located at the heart of the media industry, employees benefit from a collaborative environment that encourages innovation and provides access to extensive resources, ensuring that every team member can thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Product Owner - AI in London
✨Join Product Management Meetups
Get involved in local product management meetups or workshops. These events are perfect for meeting industry folks, sharing ideas, and staying updated on trends. Plus, you never know who might be hiring—it's a fantastic way to make connections that could lead to a job at places like PA Media!
✨Show Off Your Product Sense
Create case studies or mini-projects showcasing your product management skills, and share them on platforms like Medium or LinkedIn. This not only puts your skills on display but also boosts your visibility in the product community. Imagine how impressed the hiring team at PA Media would be by your initiative!
✨Utilise Online Communities
Dive into online product management communities like Product Coalition or Mind the Product. Engage in discussions, ask questions, and share your insights. These platforms are goldmines for networking and finding hidden job opportunities—many companies often scout talent from within these circles.
✨Leverage Your University Network
If you’ve recently graduated or are still in uni, tap into your alumni network for connections in product management. Many universities have their own job boards and affinity resources to help graduates land roles. Don't forget to keep an eye out for job openings at PA Media through your school's career services!
We think you need these skills to ace Product Owner - AI in London
Some tips for your application 🫡
Show Off Your Product Passion:When applying for a product management role like Product Owner - AI, let your passion for developing products shine through in your cover letter. Share specific examples of products you've managed, how you solved user needs, and any successful outcomes you've achieved. This is your chance to showcase your understanding of the product lifecycle!
Highlight Your Cross-Functional Skills:Product management isn't just about understanding the product; it’s about collaborating with different teams! Make sure to emphasise your experience working with developers, designers, and marketers. Use your CV to showcase your ability to bridge gaps between these areas, and include relevant experiences that demonstrate your communication and leadership skills!
Include Your Metrics and Achievements:In a full-time product management application, data speaks volumes! Quantify your achievements wherever possible. Did you increase user retention by a certain percentage? Launch a product ahead of schedule? Include these metrics in your CV to paint a picture of your impact and effectiveness in previous roles.
Tailor Your CV to the Role:Make sure your CV is tailored for the Product Owner - AI position at PA Media. Use keywords from the job description and ensure your relevant experiences are front and centre. Highlight any certifications or relevant training you’ve completed that will make you stand out as a strong candidate for the role. And remember, we’re excited to see your application on our website!
How to prepare for a job interview at PA Media
✨Understand the Product Life Cycle
As a product management candidate, we need to get our head around the complete product life cycle. Be prepared to discuss real-world examples of how you’ve managed product development from ideation to launch. Bring specific insights on tools like JIRA or Trello that can help streamline these processes.
✨Showcase Your Cross-Functional Skills
Product management is all about collaboration. We should be ready to highlight how we’ve worked across teams—think marketing, engineering, and design. Prepare to discuss scenarios where you had to mediate differing opinions and how you got everyone on board with a shared vision.
✨Prepare for Case Studies
In a full-time role, we can expect to encounter case study questions during our interviews. Practise solving hypothetical product problems on the spot, such as prioritising features for a new app or improving user engagement metrics. This will show our analytical thinking and decision-making skills.
✨Know Your Metrics
Let’s face it, numbers are our best friends in product management. We should prepare to discuss key performance indicators (KPIs) and how we've used analytics to inform product decisions. Dive into examples where data has driven our strategy for improvements or justified product changes.