Associate Project Manager
HSBC
Pune Division, Maharashtra, IndiaFresher3h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers
- Must know
- Project managementBudgetingStakeholder managementBusiness analysis
- Work
- On-site in Pune Division
- Pay
- Not stated by the employer.
- Skill demand
- Project management61%Stakeholder management44%Budgeting32%Business analysis11%of 100 similar fresher jobs posted in India this week
- Listed
- 29 Oct 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
This role is for an Associate Project Manager at HSBC, focused on defining, validating, and prioritizing artificial intelligence use cases within procurement.
Key Responsibilities
- Define, validate, and prioritize artificial intelligence use cases across spend analytics, supplier risk monitoring, contract intelligence, and demand forecasting.
- Translate procurement policies, workflows, and business rules into clear, artificial intelligence-ready requirements.
- Ensure data quality, governance, regulatory compliance, and responsible artificial intelligence practices across solutions.
- Partner with procurement, data, technology, and risk teams to design and implement scalable artificial intelligence capabilities.
- Drive adoption through stakeholder engagement, change enablement, and process improvement.
- Establish measurable outcomes, including sourcing efficiency, improved supplier decisions, cost savings, and process automation.
- Monitor solution performance and continuously identify opportunities to enhance value and user experience.
Requirements & Tech Stack
- Strong procurement domain expertise across strategic sourcing, spend management, supplier management, contracting, and demand planning.
- Proven ability to identify, define, validate, and prioritize artificial intelligence use cases that address procurement challenges and deliver measurable business value.
- Strong requirements management capability, including translating procurement policies, workflows, and business rules into clear, testable, and artificial intelligence-ready requirements.
- Advanced data and process analysis skills, with experience assessing data quality, process performance, controls, and opportunities for automation.
- Strong stakeholder management and communication skills, with the ability to collaborate across procurement, data, technology, risk, and governance teams.
- Sound understanding of responsible artificial intelligence, data governance, regulatory compliance, model risk, and ethical use of data.
- Experience supporting change enablement, user adoption, and continuous process improvement for technology-led transformation.
- Ability to define success measures and track benefits realization, including sourcing efficiency, supplier decision quality, cost savings, risk reduction, and process automation.