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- Tasks: Lead AI product development, translating client needs into actionable roadmaps.
- Company: WeBuild-AI transforms enterprises into AI-powered businesses with innovative solutions.
- Benefits: Gain experience with cutting-edge AI tech and flexible work opportunities.
- Why this job: Join a visionary team redefining enterprise operations through AI innovation.
- Qualifications: Experience in product management and understanding of AI technologies required.
- Other info: Opportunity to shape the future of AI in global enterprises.
The predicted salary is between 48000 - 84000 £ per year.
About WeBuild-AI: WeBuild-AI are AI natives delivering 10x value for enterprise organisations. We combine highly skilled experts with our AI Launchpad, industry-aligned language models, and agents to transform enterprise organisations into AI-powered and data-driven businesses. We work with enterprise organisations on a global stage, reinventing how they design, build, and operate AI powered software at scale with speed.
Our Purpose: We believe that AI's true potential is unlocked only when it's precisely aligned with business objectives and user needs. Our mission is to bridge the gap between technical possibility and business value, creating AI solutions that transform organisations at their core. We're looking for visionaries who can see beyond the technology to the human and business impact it can create.
Role Overview: As a Data & AI Product Owner at WeBuild-AI, you will bridge the gap between technical implementation and business value. You'll work closely with clients to understand their needs and translate them into actionable product roadmaps, ensuring our AI solutions deliver meaningful business transformation at speed. You'll be the driving force behind solutions that reimagine what's possible in enterprise environments.
Key Responsibilities:
- Define product vision, strategy, and roadmap for data and AI initiatives
- Collaborate with clients to understand business objectives and challenges
- Translate business requirements into technical specifications
- Prioritise features and capabilities based on business impact
- Coordinate cross-functional teams to deliver integrated solutions
- Manage the product lifecycle from conception to deployment
- Measure and communicate the impact of AI solutions
- Contribute to the ongoing development of our Pathway platform
- Identify opportunities for AI to create breakthrough value
- Pioneer new approaches to product development in the AI era
Required Skills & Experience:
- Experience in product management or product ownership roles
- Understanding of data and AI technologies and their business applications, including AWS services (Bedrock, SageMaker, DataZone) and Azure services (OpenAI, Fabric, Purview)
- Familiarity with Python for data analysis and prototyping AI solutions
- Familiarity with agile development methodologies
- Strong stakeholder management and communication skills
- Ability to balance business needs with technical feasibility
- Experience with enterprise software or consulting projects
- Knowledge of prototyping and collaboration tools (e.g., Visily, Figma and Miro)
- Strong problem-solving abilities and creative thinking, with critical thinking credentials to solve complex business challenges across a range of industries.
The Mindset We Value:
- Visionary Perspective: We need product owners who can see beyond current limitations to envision what AI could make possible in 3-5 years, while delivering value in the present.
- Adaptable Approach: As AI evolves, so must product development methodologies. You should be comfortable adjusting your approach as new capabilities emerge, embracing experimental methods when appropriate.
- Empathetic Leadership: You must be able to understand and navigate the human aspects of AI transformation, bringing stakeholders along on the journey and addressing concerns with empathy.
- Balanced Ambition: While pushing for transformative outcomes, you must maintain a realistic understanding of what can be achieved within constraints, striking the right balance between ambition and practicality.
Growth Opportunities:
- Develop expertise across multiple industries and functional domains
- Gain experience with cutting-edge AI capabilities before they reach mainstream adoption
- Lead transformative initiatives that redefine how enterprises operate
- Contribute to the evolution of product management practices for the AI era
- Shape the strategic direction of our Pathway platform
- Build a network of senior relationships across global enterprises
We appreciate every application we receive. Due to high interest, if you don’t hear back from us within 2 weeks, unfortunately it means we won’t be moving forward with your application this time — but we truly thank you for considering us and wish you all the best in your search.
AI & Data Product Owner employer: WeBuild-AI
Contact Detail:
WeBuild-AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI & Data Product Owner
✨Tip Number 1
Familiarise yourself with the latest trends in AI and data technologies, especially those related to AWS and Azure services. This knowledge will not only help you understand the technical aspects of the role but also demonstrate your commitment to staying current in a rapidly evolving field.
✨Tip Number 2
Network with professionals in the AI and product management space. Attend industry events, webinars, or online forums where you can connect with others who share your interests. Building relationships can lead to valuable insights and potential referrals for the position.
✨Tip Number 3
Prepare to discuss real-world examples of how you've successfully bridged the gap between technical teams and business stakeholders in previous roles. Highlighting your experience in managing cross-functional teams will showcase your ability to deliver integrated solutions effectively.
✨Tip Number 4
Demonstrate your understanding of agile methodologies by being ready to discuss how you've adapted your approach in past projects. Showing that you can embrace change and experiment with new methods will resonate well with the mindset WeBuild-AI values.
We think you need these skills to ace AI & Data Product Owner
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the AI & Data Product Owner position. Tailor your application to highlight how your skills and experiences align with the role.
Craft a Compelling CV: Your CV should clearly showcase your experience in product management, particularly in data and AI technologies. Highlight specific projects where you've successfully bridged technical implementation with business value.
Write a Tailored Cover Letter: In your cover letter, express your vision for AI in enterprise environments and how you can contribute to WeBuild-AI's mission. Use specific examples from your past experiences to demonstrate your understanding of the industry and your problem-solving abilities.
Showcase Your Technical Skills: Make sure to mention your familiarity with relevant technologies such as AWS and Azure services, as well as your experience with Python and agile methodologies. This will help demonstrate your capability to manage the product lifecycle effectively.
How to prepare for a job interview at WeBuild-AI
✨Understand the Company’s Vision
Before your interview, take some time to research WeBuild-AI's mission and values. Understand how they aim to bridge the gap between technical possibilities and business value. This will help you align your answers with their vision during the interview.
✨Showcase Your Technical Knowledge
Be prepared to discuss your experience with data and AI technologies, especially AWS and Azure services. Highlight any relevant projects where you've successfully implemented these technologies to solve business challenges.
✨Demonstrate Stakeholder Management Skills
Since the role involves collaborating with clients and cross-functional teams, be ready to share examples of how you've effectively managed stakeholders in previous roles. Emphasise your communication skills and ability to balance business needs with technical feasibility.
✨Exhibit a Visionary Mindset
WeBuild-AI values candidates who can envision the future of AI. Prepare to discuss your thoughts on the potential of AI in transforming businesses over the next few years. Show that you can think creatively and strategically about product development.
