8 of 8 Backlog Refinement Jobs in Berkshire

regulatory obligations, risk-based controls, and client digital modernization goals Job Summary The Product Owner-Financial Crime (KYC & AML) is accountable for defining the product vision, roadmap, and backlog across financial crime compliance domains. The scope spans customer lifecycle management (KYC, CDD/EDD, onboarding, periodic reviews) and AML activities (transaction monitoring, sanctions screening, suspicious activity reporting, case … client governance frameworks, data quality expectations, and global regulatory standards. Key Responsibilities Strategy Own the product journey and roadmap for Financial Crime (KYC & AML) across the lifecycle. Align backlog priorities with client compliance strategy and regulatory frameworks (FATF, Wolfsberg, EU AMLD6, UK MLR, POCA, SAMLA). Ensure delivery outcomes enable risk-based compliance while supporting digital onboarding and … and Suspicious Activity Reporting. Familiarity with Financial Crime platforms such as Pega CLM/KYC, Actimize, Fircosoft, Mantas, and Fenergo. Skilled in Agile/SAFe delivery, backlog refinement, sprint and PI planning. Strong business analysis skills, including requirements gathering, process mapping, stakeholder workshops, and documentation. Demonstrated awareness of UK and EU regulatory frameworks, including FCA, PRA, GDPR More ❯

driven culture across business, technology, and offshore development teams. Oversee multiple concurrent workstreams, managing dependencies across CRM, workflow, data, and AI integration components. Facilitate sprint planning, backlog refinement, retrospectives, and delivery reporting to maintain transparency and momentum. Partner with Underwriting, Operations, and IT leadership to remove blockers, manage risk, and drive continuous improvement. Ensure disciplined stakeholder engagement More ❯

ensuring scope, budget, and risks are well managed and reported. Agile & Methodology Leadership · Champion Konversational's NowCreate delivery methodology, sprint-based execution, and governance cadence. · Ensure sprint planning, backlog grooming, demos, retrospectives, and status reporting are consistently executed. · Identify and embed lessons learned into delivery processes, templates, and frameworks. · Lead continual improvement of engagement playbooks and internal delivery More ❯

and deliver high-impact data insights. Own and maintain business and technical documentation, ensuring clarity across the delivery lifecycle. Drive Agile ways of working - contributing to backlog refinement, defining outcomes, and supporting user acceptance testing. Support delivery of data products through collaborative work with engineering and architecture teams. Essential Experience & Skills: Proven background in Data Analysis, with More ❯

and deliver high-impact data insights. Own and maintain business and technical documentation, ensuring clarity across the delivery lifecycle. Drive Agile ways of working - contributing to backlog refinement, defining outcomes, and supporting user acceptance testing. Support delivery of data products through collaborative work with engineering and architecture teams. Essential Experience & Skills: Proven background in Data Analysis, with More ❯

and deliver high-impact data insights. Own and maintain business and technical documentation, ensuring clarity across the delivery lifecycle. Drive Agile ways of working - contributing to backlog refinement, defining outcomes, and supporting user acceptance testing. Support delivery of data products through collaborative work with engineering and architecture teams. Essential Experience & Skills: Proven background in Data Analysis, with More ❯

and deliver high-impact data insights. Own and maintain business and technical documentation, ensuring clarity across the delivery lifecycle. Drive Agile ways of working - contributing to backlog refinement, defining outcomes, and supporting user acceptance testing. Support delivery of data products through collaborative work with engineering and architecture teams. Essential Experience & Skills: Proven background in Data Analysis, with More ❯

closely with engineering, research and design teams to shape and execute the product roadmap, ensuring it delivers measurable value within a regulated environment. Key Responsibilities Lead product planning, backlog management, and sprint execution across a cross-functional AI delivery team. Partner with engineering and technical leads to prioritise technical workstreams and manage dependencies. Run user research sessions to … how they influence product decisions. Proven ability to manage demanding stakeholders in fast-paced, enterprise environments. Experienced working in Agile delivery teams - confident running sprints, stand-ups and backlog refinement. Excellent communicator who can bridge business and technical contexts effectively. Experience in AI, data, or automation products is highly desirable. Prior exposure to insurance or B2B enterprise domains More ❯