At a Glance
- Tasks: Lead AI product development and drive innovative automation processes across a global team.
- Company: Join a prestigious Global FTSE100 company at the forefront of AI innovation.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities in a collaborative environment.
- Why this job: Make a real impact in AI and automation while shaping the future of technology.
- Qualifications: Degree-level education with experience in machine learning and proficiency in Python or Java.
The predicted salary is between 63000 - 77000 £ per year.
This Global FTSE100 are seeking an AI Product Lead to establish, manage, and evolve the company's Data, AI and Automation processes, support senior management in developing and achieving the organisations strategic plan as well as the development and delivery of the data, AI and Automation capabilities. You will oversee the development and use of data, AI and Automation systems, driving the adoption of centralised solutions across the group.
Key Responsibilities:
- Remote management of an offshore team of 12 developers and a growing team of 2 in the UK.
- Solutioning innovative ways to organise AI and automation processes, overseeing data/software development.
- Design, deliver, and support Data, AI, and automation solutions, including analytics, models, dashboards, and related platforms.
- Own the roadmap for trusted data foundations across the group, covering master/reference data, data quality, governance, cataloguing, traceability, and access controls.
- Provide leadership on the implementation of security & authorisations best practice for accessing AI and Automation solutions.
- Work proactively with internal and key business partners that contribute to the delivery of analytic, AI models through projects and BAU, exploring new analytics and dashboard tools and where appropriate, advise on new solutions that can improve the effectiveness of organisation.
- Take a leading role in the growth of the team and support the development of D&A and Divisional team members through coaching and mentoring.
- Provide technical and business leadership across data architecture, integration, visualisation, and emerging AI technologies, ensuring solutions are scalable, secure, and aligned to business needs.
- Establish and maintain effective data management policies, standards, and operational controls, including code promotion, platform administration, performance monitoring, and compliance with company and legal requirements.
- Partner with divisional and business stakeholders to shape requirements, resolve data issues, and enable adoption through documentation, training, and user support.
- Support team effectiveness through mentoring, workload and capacity visibility, regular reporting, and leadership of team engagement activities.
Technical Knowledge, Skills and Abilities:
- Educated to degree level or equivalent with a deep interest in AI innovation and automation.
- Direct experience with machine learning, deep learning, NLP or computer vision is highly desirable.
- Proficiency in Python, Java, and R.
- Strong knowledge of AI frameworks such as TensorFlow or PyTorch.
- Experience in Data Science techniques and methodologies.
- Azure Datalake, Databricks, Python (Azure Reference architecture).
- Excellent problem-solving skills and ability to work in a team environment.
- Thorough and proven understanding of the principles of data security, management, and administration.
- Excellent understanding of data administration and management functions (collection, analysis, distribution etc.).
- Experience in BI tools (PowerBi, OBIEE, Tableau, QlikView etc.).
- Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on: Database architecture, ETL, Data Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing.
- Business functional knowledge - able to work with Business SMEs to relate the process to the underlying data.
- ERP experience and implementations (nice to have).
- Excellent organisational and project management skills.
- Passionate and curious about new technology and the tech industry.
- General understanding of PaaS Concepts - ideally in MS-Azure.
Job Offer:
- Opportunity to join a Global FTSE100.
- Opportunity to deliver AI Enablement & Strategy.
AI Product Lead in Birmingham employer: Michael Page
At Michael Page, we pride ourselves on being an excellent employer that champions community impact through our Social Value Lead role. Our supportive work culture fosters collaboration and innovation, providing employees with ample opportunities for professional growth while making a meaningful difference in the property industry. Located in a vibrant area, we offer competitive salaries and a commitment to employee well-being, ensuring that you thrive both personally and professionally.
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We think this is how you could land AI Product Lead in Birmingham
✨Get Involved in Data Science Meetups
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We think you need these skills to ace AI Product Lead in Birmingham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Michael Page. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Michael Page
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Michael Page!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
