Our Purpose Mastercard powers economies and empowers people in 200 countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, straightforward, smart, and accessible.

Our technology and innovation, partnerships, and networks combine to deliver a unique set of products and services that help people, businesses, and governments realize their greatest potential.

Title and Summary Lead Technical Program Manager An AIFirst Technical Program Manager who organizes and accelerates delivery across agentamplified pods, using the written specification as the single source of truth and DORA/Core4 metrics as the primary delivery signal. Operates as a connective role in a shared pool - reaching into every pod to keep the program's coordination, risk, and dependency view current without orchestrating daytoday - while preserving every SOX/PCI control gate. Manifest definitions, release integration, scope, and dependencies are tracked with data so all outputs are productionready at launch.

Responsibilities

- Organizes and accelerates related technology projects across multiple pods, aligning dependent organizations; identifies and removes blockers and always finds the path forward.
- Charts the podtopod relay (which pod builds each Epic stage), aggregates crossBigRock risks and dependencies into a single view, and drives execution through the monthly Epic cycle anchored to the user guides.
- Serves as the source of truth for status; generates the Monthly Technical Review (MTR), RAID Log, and DORA rollup directly from the session record using M365 Copilot, so the ledger stays current without handkeeping.
- Measurably improves, streamlines, and eliminates excess process and ceremony - naming the reader of every artifact before it is kept and retiring legacy ceremonies deliberately.




- Keeps abreast of the evolving AIengineering landscape; understands the practical read of what AI can and cannot do - that AI amplifies engineering judgment and leaves that judgment with the human - and asks the right questions to evaluate scalability, latency, security, performance, and data integrity.
- Works with ambiguity and limited guidance, comfortable with the indeterminism of agentdriven delivery, kept honest by the monthly user guides and realcustomer feedback.
- Transforms raw thoughts into clear, concise communication and can communicate with confidence 3 levels up; fluent in prompt patterns and agentsession discipline to produce reviewready output on the first pass.
- Understands the needs of engineers and BizOps/SRE teams, including the verification tax and the buildandreview, followthesun pairing that manages it.
- Reviews metrics and proactively seeks improved data and mechanisms for visibility, keeping the program aligned to objectives while preserving all control gates - AIFE removes coordination overhead, not controls.
- Plays an active role in mentoring, recruiting, and growing agent fluency and the ExpertGeneralist skill ladder across pods.

Experiences

- Anticipate bottlenecks and factor in contingency for unplanned delays, including transition risk from Scrum to the pod model.
- Define success metrics where they are missing, defaulting to the four DORA/Core4 metrics: Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Failed Deployment Recovery Time.




- Recognize discordant views and resolve them through constructive dialog; act as the program's anticonfirmationbias check.
- Continuously assess development processes, test plans, and operations to improve concurrent delivery, including testsfirst/specdriven parallelism and samesession documentation currency.
- Streamline or eliminate excess process wherever the same efforts or issues repeat yearoveryear.
- Expert with scrum delivery and its evolution into the AIFE monthly Epic and podrelay operating model, including the shift from story points to specprojected slices.

AIFirst Tooling & Skills

- M365 Copilot fluency: Excel (RAID Log, dependency matrix, DORA dashboards), Word (MTR generation, handoff notes), Loop/OneNote (async session logs).
- Specasledger discipline: treat the specification as reviewed engineering work; let agents project epic/feature/story records on demand rather than handslicing or pointing.
- Relay and sharedpool operating model: chart pod relays, manage followthesun handoffs, and steer by feedback at Epic boundaries.
- Agent accountability and auditsafety: ensure a named human directs and reviews every agent output, with session logs and controlrole signoffs keeping whobuilt/whoapproved auditable.

Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks come with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

- Abide by Mastercard's security policies and practices;
- Ensure the confidentiality and integrity of the information being accessed;
- Report any suspected information security violation or breach, and
- Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

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Locations Location: Pune, India, 411006

📌 Lead Technical Program Manager (India)
🏢 Master Card
📍 India