JPMorganChase Logo

JPMorganChase

Agility Lead

Posted An Hour Ago
Be an Early Applicant
Hybrid
Hyderabad, Telangana
Senior level
Hybrid
Hyderabad, Telangana
Senior level
Lead and coach teams in adopting Agile methodologies, including Scrum, Kanban, XP, and scaling frameworks. Drive continuous improvement, stakeholder engagement, delivery planning, metrics-based decision-making, and organizational transformation. Develop best practices, communicate impediments to leadership, and promote validated AI-assisted workflows while maintaining data sensitivity and delivery standards.
The summary above was generated by AI
Join our team to foster agile methodologies, encouraging a culture of innovation and high performance in a leading financial institution. 

As an Agility Lead in Corporate Technology, you will play a significant role as a champion for the adoption and continuous improvement of Agile practices within our teams. 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, while continuously adapting to changing requirements and priorities. 

Job responsibilities
  • Lead and coach teams to adopt and implement agile methodologies, promote open communication and engagement among team members, and ensure continuous improvement and alignment with organizational goals
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate delivery insights and operational planning (e.g., synthesizing metrics and impediments into actions), validating outputs and handling data according to sensitivity requirements.
  • 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
  • Promotes and standardizes reuse-first, AI-assisted continuous improvement practices across teams (e.g., standardizing templates and lessons learned), ensuring human review and alignment to delivery standards. 
Required qualifications, capabilities, and skills
  • A. 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 (NAMR/APAC – India/ LATAM/ Hong Kong)
    B. Formal training or certification on software engineering concepts and advanced applied experience (EMEA/LATAM-Brazil)
    C. Singapore follow local country guidance
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support agile coaching and delivery workflows with strong validation habits and awareness of data sensitivity.
  • Ability to review and validate AI-assisted insights and recommendations before use, escalating when uncertain and following data handling expectations.
  • 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 
Preferred qualifications, capabilities, and skills

Similar Jobs

An Hour Ago
Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Build and scale the core Voice AI platform, including audio acquisition, conversation management, speech generation, model integrations, and voice testing infrastructure. Design distributed systems across regions and datacenters, write maintainable code, enforce engineering best practices, and improve SRE tooling. Partner with product managers and customers to address use cases, mentor engineers, and advance Voice AI engineering practices.
Top Skills: Audio AcquisitionClaude CodeCursorDevOpsDistributed SystemsGoJavaKubernetesLarge Language ModelsPrompt EngineeringPythonSpeech-To-TextSreTelephonyText-To-SpeechVoice AiWebrtcWindsurf
An Hour Ago
Hybrid
Entry level
Entry level
Financial Services
Manages a team responsible for client onboarding, AML and KYC due diligence, and data verification. Reviews and improves processes to ensure client records are accurate, complete, timely, and compliant with regulatory standards. Oversees workflow distribution, performance management, coaching, issue resolution, and organizational change while collaborating with internal and client-facing teams.
Top Skills: MainframeMS Office
An Hour Ago
Hybrid
Mid level
Mid level
Financial Services
Develop and maintain secure, scalable full-stack applications for JPMorganChase. Responsibilities include software design, Java and React development, troubleshooting, testing, architecture documentation, data analysis, and operational stability. The role also requires using approved AI-assisted development tools responsibly, applying agile and SDLC practices, and supporting cloud-based systems with AWS, Kafka, databases, and Terraform.
Top Skills: Amazon DynamodbAmazon EcsApache KafkaAWSCi/CdEvent-Driven ArchitectureInfrastructure As CodeJavaPostgresReactReact NativeSpring BootTerraform

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account