Job Description
Process Discovery & Optimization (BPM Core)
Analyze end-to-end business processes (As-is vs To-be) across Workforce, Finance, Risk & Back Office.
Identify bottlenecks, inefficiencies, and automation opportunities.
Break down complex business problems into structured, solvable components.
Redesign workflows with a product mindset, focusing on user experience (Ops, staff, stakeholders).
2. . AI-Driven Solution Design
Design AI-powered solutions to enhance workflows:
Generative AI for content automation (reporting, communication, documentation)
Predictive analytics for risk detection, forecasting, anomaly detection
Define AI workflows (input → decision → output → fallback → feedback loop).
Build and orchestrate AI agents / bots for automation across processes.
3. Data-Driven Problem Solving
Analyze operational data to identify root causes and improvement opportunities.
Translate data insights into actionable AI use cases.
Define success metrics: automation rate, time saved, accuracy improvement, cost reduction.
4. AI Workflow & Tool Integration
Leverage AI tools and platforms to build scalable solutions: AI APIs, LLMs, automation tools, workflow engines
Integrate AI into existing systems (Ops tools, Finance systems, Risk platforms).
Design reusable AI components for cross-domain scalability.
5. Change Management & Adoption
Drive adoption of AI-powered workflows across teams.
Train and enable stakeholders (Ops, Finance, Risk teams).
Communicate clearly the value and impact of AI transformation.
Manage resistance and ensure smooth transition from manual to automated processes.
6. Risk, Compliance & AI Governance
Ensure AI solutions comply with:
Data privacy (PII protection)
Internal compliance frameworks
Ethical AI standards
Design guardrails: thresholds, fallback logic, audit logs, human-in-the-loop.
Work closely with Risk & Security teams to ensure safe deployment.
Requirements:
Must have
Product Mindset: Apply user-centric principles to transform complex back-office workflows into functional products - Preferable at least 3 years of experience in Product Development, Product management,
Business Analyst, etc.
Data-Driven Analysis: Utilize advanced analytical tools to identify operational bottlenecks and enhance system efficiency.
AI Solution Design: Design innovative AI frameworks to automate manual finance and risk management processes (have experience in design AI-powered solutions/project/workflow)
Quick Learning: Adapt rapidly to evolving technologies and specialized domain knowledge within the industry.
Nice to have
Experience in Logistics / Workforce / Finance Ops
Exposure to AI platform or internal tool building
Familiarity with data tools (SQL, dashboards, analytics)
Experience with automation platforms