Website The World Bank

Associate Senior Product Owner – Operational Financial Management (World Bank Group)

Opportunity Overview

Attribute Details
Organization World Bank Group (WBG)
Vice Presidency / Unit Information and Technology Solutions (ITS) / Fiduciary Operations (ITSFD)
Parent Division Operations & Country Engagement Solutions (ITSOE)
Job Requisition ID req37999
Role Title Associate Senior Product Owner – Operational Financial Management (OFM)
Grade Level GG
Term Duration 2 Years, 0 Months (Local Recruitment)
Possible Duty Stations Chennai, India | Sofia, Bulgaria | Singapore, Singapore (Duty station determined by organizational requirements)
Language Requirements Essential: English
Closing Date August 21, 2026 at 11:59 PM UTC

Technical Scope & Product Architecture

The Associate Senior Product Owner (OFM) bridges operational finance, data engineering, and artificial intelligence to drive the digital transformation of financial governance, fiduciary controls, and audit processes across World Bank operations. The position manages the product lifecycle for an enterprise-scale Agentic AI Platform:

[Unstructured Financial Data & Contracts] ➔ [NLP / RAG / Multi-Agent Extraction] ➔ [Automated Anomaly & Risk Detection Engine] ➔ [Human-in-the-Loop MLOps & Audit Trail]

Core Responsibilities

  • AI Strategy & Product Roadmap: Formulate and execute end-to-end product roadmaps embedding Generative AI, LLM orchestration, and Intelligent Process Automation (IPA) into operational financial workflows (e.g., automated ledger matching, policy compliance).

  • Agile Backlog Management: Maintain, refine, and prioritize the product backlog using SAFe and Scrum frameworks. Translate complex financial and ML requirements into actionable user stories with probabilistic performance thresholds (precision, recall, confidence scores).

  • MLOps & Model Lifecycle Oversight: Manage model training, validation, production deployment, drift monitoring, and feedback loops across Azure, AWS, Databricks, or Snowflake data platforms.

  • Smart Automation & Anomaly Detection: Oversee the development of NLP and Retrieval-Augmented Generation (RAG) engines for extracting data from legal agreements, receipts, and contracts; design real-time anomaly engines for fraud and error detection.

  • Fiduciary Governance & Responsible AI: Build explainability frameworks, bias mitigation tools, auditable decision trails, and Human-In-The-Loop (HITL) oversight mechanisms that satisfy internal/external audit and cybersecurity compliance.

  • Stakeholder & Change Management: Connect Financial Management Specialists, Accountants, Auditors, Treasury Officers, and ITS technical teams to foster organizational adoption of AI tools.

Candidate Qualifications & Selection Criteria

Minimum Qualifications

  • Master’s Degree: Computer Science, Data Science, Artificial Intelligence, Information Systems, Finance, or related field with a minimum of 8 years of relevant experience; OR

  • Bachelor’s Degree: Minimum of 10 years of progressive experience in AI product management, financial technology, or enterprise digital transformation.

Technical & Leadership Competency Matrix

Category Skill & Capability Requirements
AI/ML Technical Stack

• Architectures: Supervised/Unsupervised Learning, Transformers, NLP, RAG, Generative AI


• Lifecycle: MLOps/LLMOps pipelines, data drift monitoring, probabilistic model evaluation


• Cloud & Data Systems: Azure, AWS, GCP, SQL, Databricks, Snowflake, API design
Financial & Fiduciary Knowledge

• Core accounting principles, internal controls, financial auditing frameworks


• Familiarity with enterprise systems (e.g., SAP, Oracle Financials)


• Plus: Knowledge of IFRS/IPSAS or World Bank Group operational financial policies
Product & Agile Methodologies

• Proven track record shipping data-intensive or AI/ML-driven enterprise applications


• SAFe (PO/PM) or Scrum (CSPO) certifications preferred


• Expert in technical story writing and acceptance criteria definition for probabilistic systems
Senior/Level II Plus Points

• Hands-on experience deploying LLM agents/copilots in regulated financial environments


• Prototyping/data analysis skills in Python, R, or SQL

Application & Selection Process

[Online Application Submission] ➔ [Academic & Qualifications Screening] ➔ [SAFe / Technical AI Product Interview Loop] ➔ [Duty Station & Offer Determination]

  1. Online Submission: Apply through the World Bank Careers portal prior to August 21, 2026, at 11:59 PM UTC.

  2. Screening & Shortlisting: Candidate evaluation against degree requirements, 8–10+ years of AI/financial product leadership experience, and technical competency in MLOps/RAG systems.

  3. Selection Panel & Interview Loop: In-depth technical and product management interviews focusing on agentic workflow design, MLOps governance, financial anomaly detection, and stakeholder communication.

  4. Duty Station Finalization: Selected candidate station is assigned among Chennai, Sofia, or Singapore based on business needs.

To apply for this job please visit remotejobhiring.com.