Contract type: Permanent
Location: London
Working style: Hybrid 50% home/office based
Role purpose
Lead the Data & AI Process Reinvention capability, with line management of a small team, and support RLAM’s end-to-end process transformation across priority AI first areas. You will work closely with business colleagues to diagnose inefficiencies, redesign operating processes and drive measurable improvements, ensuring processes are fundamentally rethought before automation is applied. Using a structured, consultative approach, you will enable scalable outcomes through data, automation and AI, while establishing clear ways of working and quality expectations.
About the role:
Lead end-to-end process transformation initiatives, from discovery through to implementation and adoption. This means to
Diagnose current-state processes, identify inefficiencies and root causes, and design scalable future-state solutions
Apply structured problem-solving techniques (e.g. value stream mapping, root cause analysis) to drive clear, actionable outcomes
Identify and enable opportunities to leverage data, automation and AI, ensuring solutions are scalable and integrated
Challenge existing ways of working, ensuring processes are redesigned before automation is applied
Recommend how the transformation would deliver measurable business benefits, including efficiency, control and scalability improvements
Facilitate workshops and engage stakeholders to align on problems, solutions and outcomes
Communicate insights and recommendations clearly to both technical and non-technical audiences
Build and manage a pipeline of process improvement opportunities, prioritised by value, risk and feasibility
Contribute to developing repeatable methods, standards and best practice for process reinvention
About you:
Experience in process transformation, operational excellence, consulting or change delivery, ideally within financial services or asset management
Strong process mapping, analysis and future-state design skills, with a structured problem-solving approach
Understanding of how process redesign links to data, automation and AI, with the ability to identify practical use cases
Proven ability to lead workshops, challenge thinking and engage stakeholders across business and technology teams
Able to prioritise and manage multiple initiatives, focusing on delivering measurable business value
Strong communication skills, translating complex problems into clear, actionable recommendations
Experience working across operating model, process and technology change initiatives
Comfortable influencing outcomes and driving adoption of new ways of working
Exposure to process mining, automation or AI-enabled transformation is beneficial
Coaching or team leadership experience is an advantage
Royal London Asset Management (RLAM), part of the Royal London Group, is one of the UK's leading fund management companies working with a wide range of clients across the globe to achieve their investment goals. Our long-term, client-driven focus means that we have a long-standing commitment to responsible investment. We act as responsible stewards of our clients’ capital, exercising their rights and influencing positive change.
Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustwrthy, Collaborate, Achieve.
We've always been proud to reward employees by offering great workplace benefits such as 28 days annual leave in addition to bank holidays, an up to 14% employer matching pension scheme and private medical insurance.
We’re an inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected – whatever their background.
#AICareers
Process Reinvention Lead • London, GB
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