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For Companies At a Glance
- Tasks: Lead AI/ML initiatives and bridge business with technology for impactful solutions.
- Company: Join a forward-thinking company investing in Data Science and AI to enhance performance.
- Benefits: Enjoy hybrid work options and the chance to shape innovative products.
- Why this job: Be part of a dynamic team driving real change in business through AI.
- Qualifications: Experience in Product Management for Data Science or AI projects is essential.
- Other info: Collaborate with diverse teams and influence key stakeholders across the organisation.
The predicted salary is between 43200 - 72000 £ per year.
Product Manager (Data Science & AI) Location: Welwyn Garden City / Hybrid Overview Our client is investing in Data Science and AI capabilities to drive business performance and efficiency. We are looking for a Product Manager to lead the strategy, vision, and delivery of AI/ML initiatives such as payroll accuracy improvement and a new P&L tool for finance. You will bridge the gap between business and technology, ensuring solutions are designed with real customer and business needs in mind. Key Responsibilities * Define and own the vision, roadmap, and product strategy for Data Science initiatives from incepton. * Partner with engineering, data science, and architecture teams to deliver scalable solutions. * Collaborate with business SMEs across Finance, HR, and Operations to prioritise use cases. * Translate business challenges into technical requirements and outcomes. * Champion data-driven decision making and measurable business impact. Skills & Experience * Previous experience as a Product Manager on Data Science, AI/ML, or analytics projects. * Strong ability to shape product strategy and communicate a compelling vision. * Previous experience in supporting Data Science and AI (ML, LLM) based products from scratch. * Background in finance or retail * Excellent communication skills and the ability to influence stakeholders at all levels
AI Product Manager employer: mthree
Contact Detail:
mthree Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Product Manager
✨Tip Number 1
Familiarise yourself with the latest trends in AI and Data Science. Understanding current technologies and methodologies will not only help you in interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the AI and Data Science community. Attend relevant meetups, webinars, or conferences to connect with industry experts and gain insights that could be beneficial during your application process.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully bridged the gap between business needs and technical solutions. Real-world examples will showcase your experience and ability to deliver impactful results.
✨Tip Number 4
Research our company culture and values at StudySmarter. Tailoring your approach to align with our mission can make a significant difference in how you present yourself during the interview process.
We think you need these skills to ace AI Product Manager
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly understand the responsibilities and skills required for the AI Product Manager position. Familiarise yourself with terms like AI/ML initiatives and data-driven decision making.
Tailor Your CV: Highlight your previous experience as a Product Manager in Data Science or AI/ML projects. Emphasise your ability to shape product strategy and communicate effectively, as these are key aspects of the role.
Craft a Compelling Cover Letter: In your cover letter, explain how your background in finance or retail aligns with the company's needs. Use specific examples to demonstrate your experience in delivering scalable solutions and collaborating with cross-functional teams.
Showcase Your Communication Skills: Since excellent communication is crucial for this role, ensure that your application reflects your ability to influence stakeholders. Use clear and concise language, and consider including examples of successful stakeholder engagement.
How to prepare for a job interview at mthree
✨Showcase Your Technical Knowledge
As an AI Product Manager, it's crucial to demonstrate your understanding of data science and AI/ML concepts. Be prepared to discuss specific projects you've worked on, the technologies you used, and how they contributed to business outcomes.
✨Communicate Your Vision Clearly
You need to articulate a compelling product vision and strategy. Practice explaining how you would define the roadmap for AI initiatives, ensuring you can convey complex ideas in a way that resonates with both technical and non-technical stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to translate business challenges into technical requirements. Think of examples where you've successfully bridged the gap between business needs and technology solutions.
✨Highlight Collaboration Skills
Collaboration is key in this role. Be ready to discuss how you've partnered with cross-functional teams, such as engineering and finance, to prioritise use cases and deliver impactful solutions. Share specific instances where your collaboration led to successful project outcomes.
