Job Introduction
Job Title: Product Manager - Artificial Intelligence
Department: Digital & Technology
Location: Birmingham (minimum of two days a week) Hybrid Role
Reports to: Technology Transformation Director
Budget responsibility: Yes, up to £1m annually
People responsibilities: Yes, leadership of Data Scientist and Dev Ops Engineer
Role Purpose:
The AI Product Manager will drive the strategy, development, and deployment of AI-based products within the organisation. The role is pivotal in ensuring that AI initiatives deliver measurable value to the business, aligning with customer needs and long-term company goals. You will bridge the gap between the technical AI team, stakeholders, and end-users, ensuring smooth execution and successful delivery of AI solutions.
Key Responsibilities:
1. Leadership: Manage and mentor an expanding team of Data Scientist and Dev Ops Engineers, fostering a collaborative and high-performance culture.
2. AI Product Strategy: Define and drive the overall AI product strategy, ensuring alignment with business objectives and customer needs.
3. Stakeholder Management: Interface with business stakeholders and collaborate with cross-functional teams, including engineering, data science, operations, and senior leadership, to prioritise AI initiatives and ensure clear communication.
4. Roadmap Planning: Develop, manage, and communicate the AI product roadmap, balancing short-term deliverables with long-term innovation.
5. Project Management: Oversee the end-to-end lifecycle of AI products, from ideation and design through to development, deployment, and iteration, ensuring timely delivery within scope.
6. Data-Driven Decision Making: Leverage data insights to inform product decisions and measure the success of AI-driven solutions.
7. Partner Collaboration: Work closely with external technology partners, such as Microsoft and AWS, to integrate AI technologies, ensuring seamless collaboration.
8. Compliance and Ethical Standards: Ensure that AI products adhere to industry regulations, company policies, and ethical AI standards.
9. Market and User Research: Understand market trends, customer needs, and business opportunities to drive the development of AI products that solve real-world problems.
10. Performance Monitoring: Define success metrics and KPIs to track the performance of AI products, driving continuous improvement and optimisation.
Key Skills and Experience:
1. Product Management Expertise: Proven experience in product management, ideally in AI, machine learning, or data-driven products.
2. AI & Data Science Knowledge: Strong understanding of AI/ML concepts, including model development, data pipelines, and deployment.
3. Technical Acumen: Ability to collaborate effectively with technical teams, with a solid grasp of cloud platforms (e.g., AWS, Azure), APIs, and AI development processes.
4. Agile Methodologies: Experience managing projects using agile frameworks, including Scrum or Kanban, and tools like Jira or Trello.
5. Problem-Solving: Ability to think critically and solve complex problems by leveraging AI technologies in innovative ways.
6. Collaboration & Communication: Exceptional interpersonal and communication skills, with the ability to liaise between technical and non-technical teams.
7. Data-Driven Mindset: Strong analytical skills with experience using data to inform product decisions, measure outcomes, and optimise processes.
Qualifications:
1. Bachelor's degree in Computer Science, Data Science, Engineering, Business, or a related field (Master's degree preferred).
2. Certification in Product Management (e.g., Pragmatic Institute, AIPMM) is a plus.
3. Certifications or courses in AI/ML are beneficial.
4. Experience working with cloud platforms such as AWS, Azure, or GCP.
Personal Attributes:
1. Visionary: A forward-thinker who can envision and articulate how AI can drive business transformation.
2. Leadership: Strong leadership and decision-making skills, able to inspire and align cross-functional teams.
3. Detail-Oriented: Meticulous attention to detail, ensuring high-quality AI product delivery.
4. Adaptability: Ability to thrive in a fast-paced environment, adjusting priorities as needed.
5. Curiosity: A passion for AI, machine learning, and innovation, always eager to learn and apply new knowledge.
6. Resilience: Demonstrates persistence in overcoming challenges and maintaining focus on achieving business objectives.
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