Role Overview
- Deliver cyber analytics capabilities that measurably improve cyber prevention, control effectiveness, and the resilience of operations across the cyber life cycle
- Engineer, automate, and continuously enhance cyber detection and response capabilities to enable effective, resilient, and scalable security operations
- Provide trusted Cyber risk, control, and regulatory insights that inform executive decision-making and investment prioritization
- Ensure cyber products, data, and bank-wide AI use cases comply with cyber risk appetite, regulatory requirements, and data standards, through effective data and AI governance
- Evolve Cyber analytics platforms, products, and engineering practices through a controlled maturity roadmap, to improve platform and operational resilience, efficiency, and sustainability without increasing risk
The ideal candidate will possess a strong technical product management background, an eagerness to learn, a keen interest in Cybersecurity, the ability to work collaboratively in a fast-paced environment, and an aptitude for picking up new tools and techniques on the job, building on existing skillsets as a foundation.
Principal Accountabilities:
- Lead delivery of operating model development, continuous improvement, product development and programme delivery workstreams, adopting the Agile delivery life cycle.
- Operate at the interface of people, process and transformation, and understand business and technical requirements
- Work with the team to ensure that the design, delivery and adoption plans meet the needs of the users and the constraints of the business.
- Identify, manage and communicate dependencies and risks to product delivery.
- Actively manage Blockers, Risks, Issues, Assumptions and Dependencies and escalating as required, making recommendations to influence decision-making in order to maintain progress towards delivery and benefits realisation.
Required Skills
The successful candidate will possess skills and experience within the following areas and demonstrate a willingness to learn additional skills via on-the-job learning where required.
- Proven experience with operating model development and implementation
- Experience with identifying pain points and implementing optimized ways of working
- Proven experience as a Product Owner or in a similar role within an Agile environment.
- Own and manage the product backlog, ensuring it is aligned with client needs and business objectives.
- Clearly communicate the backlog items and their priorities to the development team.
- Experience with successfully implementing production technology products with an advanced understanding of the methods, principles, and processes necessary to set priorities of development teams to successfully productionize a technology product
Client Engagement
- Experience in engaging with clients and managing stakeholder relationships.
- Understand clients' roles, needs, and pressures to identify opportunities for innovative product solutions.
- Work closely with clients to gather requirements and translate them into actionable user stories.
- Act as the voice of the client within the Agile Scrum team, ensuring products meet client expectations.
Cybersecurity, Data & Technology
- Knowledge of technical software development and engineering technologies and principles, with experience working in software delivery teams
- Understanding of cybersecurity threat and risk management landscape, including the evolving international regulation, policy, framework, and organisational cyber controls response to these threats
- Exposure to Big Data technologies at enterprise scale