Career Center

MUST HAVE:
STRONG PROJECT MANAGEMENT SKILLS DELIVERING IN CROSS-FUNCTIONAL TEAM. 
PROFICIENCY WITH AGILE AND HYBRID DELIVERY MODELS (SPRINTS, BACKLOGS, MILESTONES).
PROVEN ABILITY TO MANAGE MULTIPLE WORKSTREAMS AND COMPETING PRIORITIES.
ABILITY TO TRANSLATE BETWEEN TECHNICAL TEAMS AND NON-TECHNICAL STAKEHOLDERS.
ATTENTION TO DETAIL AND ORGANIZATIONAL SKILLS.

GOOD TO HAVE: 
WORKING KNOWLEDGE OF AI AND LLM-BASED SOLUTIONS.
WORKING KNOWLEDGE OF RAILROAD DATA.
ABILITY TO FRAME AI INITIATIVES IN TERMS OF BUSINESS VALUE, NOT JUST TECHNICAL DELIVERY
FAMILIARITY WITH SNOWFLAKE OR OTHER AI PLATFORMS

EXPERIENCE LEVEL: MID LEVEL, 4- 8 YEARS OF EXPERIENCE IN PROJECT MANAGEMENT

ONSHORE LOCATION: CANDIDATE IS EXPECTED TO WORK ONSITE IN UPC

DESIRED PROFILE: 
THE IDEAL CANDIDATE IS A SEASONED PROJECT MANAGER WITH STRONG AI AND DATA LITERACY WHO CAN LEAD COMPLEX, CROSS-FUNCTIONAL AI INITIATIVES FROM CONCEPT THROUGH PRODUCTION. THIS INDIVIDUAL EXCELS AT TRANSLATING BUSINESS PROBLEMS INTO WELL-DEFINED AI USE CASES, COORDINATING DELIVERY ACROSS BUSINESS, DATA, ENGINEERING, AND PLATFORM TEAMS, AND ENSURING SOLUTIONS ARE SCALABLE, RESPONSIBLE, AND VALUE-DRIVEN.
THEY BRING A PRAGMATIC UNDERSTANDING OF AI CAPABILITIES, PARTICULARLY GENERATIVE AI, ANALYTICS, AND AUTOMATION, AND CAN BALANCE ITERATIVE DELIVERY WITH ENTERPRISE STANDARDS FOR GOVERNANCE, SECURITY, AND OPERATIONAL READINESS. THE SUCCESSFUL AI PROJECT MANAGER IS EQUALLY COMFORTABLE WORKING WITH TECHNICAL TEAMS ON DELIVERY DETAILS AND ENGAGING SENIOR STAKEHOLDERS ON OUTCOMES, RISKS, AND REALIZED VALUE.
THIS ROLE REQUIRES A HANDS-ON, ORGANIZED LEADER WHO THRIVES IN AMBIGUITY, KEEPS INITIATIVES MOVING BEYOND PILOTS INTO PRODUCTION, AND CONSISTENTLY TIES AI DELIVERY BACK TO MEASURABLE BUSINESS IMPACT SUCH AS EFFICIENCY GAINS, RISK REDUCTION, OR IMPROVED DECISION-MAKING.