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Lead Technical Program Manager

2.00 to 5.00 Years   Gurugram   23 Nov, 2022
Job LocationGurugram
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaGeneral / Operations Management
EmploymentTypeFull-time

Job Description

    ML Engineering team leads AI/ML deployments across Mastercard platforms. The team is responsible for planning the implementation of solutions, choosing the right technologies, and evaluating the evolution of the architecture as the needs change.For this team, MasterCard is seeking a Lead Technical Program Manager who is passionate about implementation of AI/ML assets across platform (on premise, on cloud, hybrid). Working in an Agile environment he/she would coordinate these projects and deliveries from our scrum team with a large array of stakeholders and dependencies within the various divisions of Mastercard. Strong communication and coordination at a project and technical level are desired.Role & Responsibilities: Coordinates across teams that can be Geographically diverse. Plan, execute, and deliver projects from inception to completion related to a known technology, product, or program. Describes and maintains the integrated plan that accounts for internal/external dependencies, differing delivery approaches, numerous constraints, and contingency for unplanned delays Secures resources, scopes efforts, outlines priorities and establishes delivery milestones Proactively manage the end-to-end delivery of engineering work through the organization and all dependent organizations, reporting out progress, ensuring dependencies are covered, overseeing the gaps between teams, processes, and systems, while removing all blocking issues leading to a successful delivery. Accelerates progress by driving crisp, timely decisions Looked to as first point of contact for projects. Can communicate with confidence multiple levels up. Is the source of truth for status. Transforms raw thoughts into clear and concise communications. Provides right information and associated data about the state of the project to the right audience at the right time. Runs effective meetings Has experience in and understands industry technologies. Understands their program, product, or domain. Sufficient depth/credibility to be effective with teams they work with. Can competently represent teams services to stakeholders and other teams. May need to bring developers or SMEs to meetings to talk details Should be able to define Program strategy. Delivers independently but will occasionally seek direction from peers/managers Nurtures good working relationships with engineers, managers, and peers Optimizes previously defined approaches for a team or limited area. Can demonstrate improvements using data. Utilizes department mechanisms (i.e. retrospectives, staff meetings, status meetings) to describe and drive continuous improvements Works closely with the Director, stakeholders, and Architects to deliver to requirements for performant and scalable productsEducation / Experience: Experience in delivering secure solutions in Financial / Fraud Services Sector is preferred. Broad understanding of Software Engineering Concepts and Methodologies is required. Demonstrate MC Core Competencies. Certification, Degree, or equivalent in Project Management related fields.All About You: Demonstrated software project (management and delivery) leadership in a professional development team setting. Possess strong communication skills -- both verbal and written and strong relationship, collaborative, and organizational skills. Strong stakeholder management and cross team coordination experience. Familiarity in Project Management tools such as RALLY, JIRA, etc. Agile SDLC methodology experience Willingness and ability to learn / take on challenging opportunitiesHelpful to have: Experience in delivering backend, RESTful API solutions. Experience delivering Cloud-based products. Azure a plus. Experience working with CI/CD projects. An interest in fraud detection and security. Experience in an Agile environment as a Scrum Master. Exposure to AIML technology domain, ML frameworks & libraries. Exposure to Graph and related technologies, e.g. TigerGraph, Ontotext GraphDB, Neo4j etc.,

Keyskills :
managementprogram managementagiledocumentation

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