Role overview
Lead product management practice and client engagements across a range of industries, technologies and domains. You will guide products from research and market analysis through discovery, delivery and iteration, while coaching product managers and helping clients reach valuable, customer-focused outcomes.
Responsibilities
- Lead and support a team of Product Managers, including recruitment, mentoring and career development.
- Establish effective product-management practices, ways of working and progression pathways.
- Act as an escalation point, helping remove internal and client-side blockers.
- Support the allocation and resourcing of Product Managers across engagements.Lead clients through digital transformation, building trusted relationships with key decision-makers.
- Shape product strategies with senior leaders, designers, engineers and client teams.
- Identify training needs and help the wider team develop stronger product capability.
Requirements
- Recent experience leading product-focused engagements in a consultancy or client-facing environment.
- Strong knowledge of product-management frameworks, continuous discovery and continuous delivery.
- Experience conducting product research and using evidence to support value propositions.
- Demonstrated experience developing, coaching or managing Product Managers.
- An empathetic leadership style and passion for improving the product-management discipline.
- Practical experience applying AI to products, services or delivery, with an understanding of customer and business value.
- Awareness of AI-specific considerations including evaluation, trust, human oversight, data, governance and responsible use.
Nice to have
- Experience experimenting with AI-native product development, automation, agents or new tools for research, prototyping, analysis, documentation or decision-making.
Benefits and work setup
Flexible hybrid or remote working is available, with occasional travel to client sites or team offices.
- 35 days of leave including bank holidays
- private medical insurance
- enhanced parental and adoption leave
- financial coaching
- a 5% pension match
- 40 hours of paid learning and development
- Training is available to help build practical AI capability