Join our team to foster agile methodologies, encouraging a culture of innovation and high performance in a leading financial institution.
As an Agility Lead within Client Onboarding & Servicing (COS) Technology, you will lead and coach teams to adopt and implement agile methodologies and promote open communication and engagement among team members ensuring continuous improvement and alignment with organizational goals. Leveraging your deep knowledge of product development methodologies and Agile principles, use your expert guidance, mentorship, and support to teams to foster a culture of collaboration, innovation, and high performance.
As a recognized subject matter expert, put your knowledge to use to work on complex issues, exercise considerable judgment, and make impactful decisions that shape the operational and business direction of your sub-function. Your leadership, communication, and coaching skills will be instrumental in empowering teams to deliver high-quality solutions efficiently and effectively.
- Lead and coach teams to adopt and implement agile methodologies, and promote open communication and engagement among team members ensuring continuous improvement and alignment with organizational goals
- Enable and execute end to end tech program management deliverables specifically for Client Onboarding & Servicing (COS) tech
- Use advanced communication, facilitation, and presentation skills to manage and influence stakeholders while communicating organizational impediments to leadership
- Develop and implement short to mid-term operational and transformation plans, prioritize tasks and manage resources to achieve product goals in a timely and efficient manner through the utilization of metrics and evidence-based decisions
- Identify trends and generate original ideas to contribute to the development of new policies and best practices within the discipline
- Look across the Product areas and feature teams within the tower to diagnose thematic issues and impediments and identify pain points in the processes that support the feature journey and recommend remediation steps
- Understand budget, friction points and strive to drive change centrally and run training, office hours, and communities of practice; recognize teams delivering measurable improvements
- Manage feedback and field questions from all levels of stakeholders, within the (Tech, Product, QA, SRE, Design, Arch) tower and across CTO towers to better standardize processes (backlog health, estimation), spec-driven development, and self-serve tooling
- Engage stakeholders and report key metrics like Defects, Learning, Cycle Time, Backlog Health, Story Quality and other key OKRs and work towards resolving issues where seen responsible
- Uses enterprise-authorized AI capabilities within the work environment to accelerate program planning and risk synthesis (e.g., consolidating inputs into integrated plans, RAID, and executive-ready updates), validating outputs and handling data according to sensitivity requirements.
- Promotes reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment to delivery standards.
- 5+ years of experience or equivalent expertise in a relevant domain, with a focus on coaching teams and individuals on agile methodologies and project management
- Possess advanced knowledge of multiple product development lifecycle stages, methodologies, and best practices, enabling effective guidance and support for teams
- Display advanced knowledge of agile delivery and multiple agile approaches, including Scrum, Kanban, Extreme Programming (XP), and scaling frameworks, monitoring agility metrics; with the ability to guide teams through complex projects, emphasizing iterative progress and adaptability
- Possess excellent communication and interpersonal skills, with the ability to engage and influence stakeholders at various levels within the organization, effectively guiding group discussions and decision-making processes within the domain context
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support program management workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data handling expectations.
- Formal training on Agile coaching, such as recognized coaching certifications