Lead complex technology projects and programs for Payments Technology. Responsibilities include developing project plans, coordinating PI planning and sprint ceremonies, managing Jira backlogs and delivery tracking, coordinating releases and dependencies, maintaining Confluence documentation, managing risks and stakeholders, and validating AI-assisted governance and analysis outputs.
Join our dynamic team to innovate and drive technology advancements, contributing to significant business growth and client success.
As a Technical Project Manager III in Commercial & Investment Bank Payments Technology team, you will help lead complex technology projects and programs that drive business goals and create value for clients, employees, and stakeholders. Applying a broad knowledge of technical principles, practices, and theories is essential to developing innovative solutions, along with leveraging analytical reasoning and adaptability skills to navigate through ambiguity and change. Your strong communication abilities will enable you to effectively collaborate with cross-functional teams and manage stakeholder relationships, ensuring alignment on project objectives and governance. By optimizing resources and managing risks, you will contribute to the successful delivery of high-impact projects that shape the future of the firm.
Job responsibilities
- Develop and execute comprehensive project plans, incorporating technical requirements, resource allocation, and timelines to ensure timely and successful delivery of technology projects
- Lead/support PI Planning and sprint execution; facilitate ceremonies (planning, standups, refinement, review, retro).
- Own project management tracking: maintain the delivery plan, milestones, RAID (risks/issues/dependencies), and action tracking through execution.
- Manage Jira end-to-end: backlog readiness, sprint setup, workflow hygiene, dashboards, and reporting.
- Coordinate release readiness and dependency management across teams; ensure clear cutover/go-live tracking where applicable.
- Maintain delivery documentation in Confluence (delivery plan, status updates, decisions, runbooks/notes) and ensure alignment across stakeholders.
- Uses enterprise-authorized AI capabilities within the work environment to accelerate requirements synthesis, solution optioning, and architecture documentation, validating outputs and handling data according to sensitivity and security requirements
- Promotes reuse-first, AI-assisted practices for project governance artifacts and reporting, ensuring human review and alignment to delivery standards
Required qualifications, capabilities, and skills
- 3+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in a fast-paced environment
- Strong SAFe/Agile delivery experience (PI/sprint cadence).
- Strong Jira expertise (backlogs, boards, dashboards, reporting).
- Experience building/maintaining delivery plans and driving execution tracking.
- Strong communication, stakeholder management, and problem-solving/root-cause skills.
- Working knowledge of Confluence for documentation and delivery governance.
- Proven experience leading through the project lifecycle management, including influencing decision makers and adapting to changes as business needs evolve
- Strong technical fluency, with familiarity in current and relevant platforms, software tools, and technologies
- Proficient in stakeholder management, with a track record of establishing productive working relationships and driving mutually beneficial outcomes
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support solutions analysis workflows with strong validation habits and awareness of data sensitivity
- Ability to review and validate AI-assisted analyses and recommendations before use, escalating when uncertain and following data handling expectations
Similar Jobs
Artificial Intelligence • Big Data • Enterprise Web • Fintech • Software • Financial Services
Build scalable data pipelines and investment data platforms supporting quantitative research, backtesting, and deployment of multi-asset investment models. Responsibilities include processing market and fundamental data, integrating third-party providers, maintaining databases and research datasets, automating workflows with CI/CD and infrastructure-as-code, and supporting cloud-based and event-driven architectures. The role collaborates closely with quantitative researchers and portfolio managers and explores AI/ML and generative AI applications.
Top Skills:
Ai/MlAmazon AthenaAmazon EmrAmazon RedshiftApache AirflowApache ParquetAWSAws CloudformationAws Step FunctionsAxiomaBloombergBloomberg PortChatgptCi/CdCompustatData LakesDockerFactsetFastapiGenerative AiGitGithub CopilotMicrosoft CopilotMorningstarMsci BarraPysparkPythonSQLTerraform
Financial Services
Build and manage large-scale data applications and data lake solutions for Finance and Securities Services. Integrate and model complex datasets, conduct analysis with SQL and Python, automate processes, and develop scalable analytics products. Manage projects end to end, including requirements gathering, BRDs, stakeholder coordination, and delivery oversight. Collaborate across Finance, Product, Operations, Technology, and developers, while leading AI/ML initiatives and establishing analytics best practices.
Top Skills:
Ai/MlAlteryxData LakesPower BIPythonRSQLTableau
Financial Services
Own daily P&L reporting, month-end close, revenue analysis, forecasting, financial controls, and variance commentary. Analyze billing, revenue recognition, ledger booking, and business drivers while partnering with Product Management, Sales, Trading, FP&A, and other stakeholders. Present reports to senior leaders and support automation, strategic initiatives, process improvements, and business change programs using tools such as Alteryx, Tableau, Databricks, and LLM Suite.
Top Skills:
AlteryxDatabricksLlm SuiteExcelTableau
What you need to know about the Delhi Tech Scene
Delhi, India's capital city, is a place where tradition and progress co-exist. While Old Delhi is known for its rich history and bustling markets, New Delhi is defined by its modern architecture. It's clear the region places a strong emphasis on preserving its cultural heritage while embracing technological advancements, particularly in artificial intelligence, which plays a central role in shaping the city's tech landscape, fueled by investments in research and development.
