At a Glance
- Tasks: Lead the development of AI products and ensure they deliver maximum business value.
- Company: Mace, a forward-thinking construction consultancy redefining ambition with AI solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Inclusive workplace with a focus on innovation and collaboration.
- Why this job: Join a dynamic team and shape the future of AI in construction.
- Qualifications: Experience in managing AI products and strong stakeholder communication skills.
The predicted salary is between 70000 - 90000 £ per year.
Mace combines construction expertise with consultancy to unlock potential in every person or project and redefine the boundaries of ambition. The Senior Artificial Intelligence (AI) Solutions Product Manager is accountable for defining and developing Mace’s AI-enabled products and capabilities. Working closely with the AI Solutions Manager, business stakeholders, customers and strategic partners, the Product Manager ensures that AI solutions offer maximum value to the business.
Place: UK‑based Birmingham or London (hybrid), with a global remit and a core delivery team based in India.
Responsibilities
- Product roadmap and performance management: Define and maintain product strategy and roadmap for Mace’s AI products, solutions and capabilities aligned to business objectives. Clearly articulate value proposition, business cases and success measures. Establish KPIs and success metrics such as adoption, efficiency gains, cost reduction. Monitor product performance using analytics and user feedback, working with AI Operations to understand operational signals. Assess market and internal innovation opportunities to inform product direction.
- Enhancement and continuous improvement: Drive continuous improvement and ensure solutions deliver measurable business value. Work with system owners and business stakeholders to identify, shape and prioritize enhancements to existing AI capabilities. Translate business and product priorities into delivery backlogs. Support the progression of AI products from pilot to production deployment in partnership with AI Architecture and AI Operations teams, ensuring product readiness and value alignment.
- Stakeholder engagement: Work closely with system owners, Digital Services stakeholders, customers, strategic partners and industry analysts to ensure AI products meet business needs, prioritize enhancements and manage expectations. Manage adoption activities to ensure AI products are successfully embedded and delivering value. Communicate product updates, benefits, realisation and KPIs to stakeholders and leadership.
- Governance, risk and assurance: Ensure AI solutions operate in line with Digital, Security, Data and Architecture standards. Identify and manage product-level risks, dependencies and constraints, escalating operational risks to AI Operations. Advocate compliance with relevant policies, ethical AI principles and regulatory obligations.
Qualifications
- Proven experience managing digital or AI or advanced analytics products through full lifecycle.
- Ability to work in small, cross‑functional, autonomous teams to rapidly deliver customer value using iterative, outcome‑driven development.
- Solid understanding of discriminative and generative AI concepts and technologies.
- Experience working with cloud platforms, APIs and modern application architectures.
- Experience of AI platforms operating at enterprise scale.
- Familiarity with data engineering, MLOps or model lifecycle management practices.
- Awareness of common enterprise Generative AI patterns such as retrieval‑augmented generation, prompt and response evaluation, and human‑in‑the‑loop approaches.
- Hands‑on experience exploring and validating AI product concepts through prototypes, pilots or experimentation.
- Strong stakeholder management and communication skills, able to translate complex technical concepts into clear operational outcomes.
- Structured and methodical approach to problem solving and service improvement.
- Commercial awareness and ability to balance cost, risk and value.
- Outcome‑oriented with focus on measurable value.
- Experience managing and coordinating distributed, offshore delivery teams.
- Ability to set clear priorities, drive accountability and maintain delivery focus.
- Collaborative leadership style, working effectively across product, engineering and support functions.
- Significant experience in AI, advanced analytics or software platform operations or equivalent.
- Broad experience operating technology services within medium to large enterprises.
- Relevant degree or professional qualification.
- Experience transitioning innovative or emerging technologies into live operational environments.
Equal Opportunity Statement
Mace is an inclusive employer and welcomes interest from a diverse range of candidates.
AI Solutions Product Manager employer: GEA Group
GEA Group is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Belfast. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work on cutting-edge technology in the dairy farming sector. The hybrid working model provides flexibility, allowing you to balance your professional and personal life while contributing to meaningful projects that make a difference.
