Senior Process Manager

Role Overview

We are seeking a highly experienced Senior Business Analyst (BA) with a strong background in Finance, Digital, and Customer Operations to lead the business analysis, solution design, and implementation of Generative AI and Agentic AI solutions . The ideal candidate will bridge business needs and AI capabilities—defining requirements, designing workflows, and shaping AI-driven automation strategies that deliver measurable business impact.

You will collaborate closely with business stakeholders, data scientists, AI engineers, and RPA/Agentic developers to translate business problems into intelligent, automated, and context-aware digital solutions.

Key Responsibilities

1. Business Analysis & Requirement Definition

• Engage with business stakeholders to identify and prioritize AI-driven automation opportunities.
• Gather, document, and validate business requirements, user journeys, and process pain points across Finance, Digital, and Customer Operations domains.
• Define functional and non-functional requirements for GenAI, LLM-based, and Agentic AI use cases.
• Create use case blueprints including context, objectives, actors, sample prompts, data sources, expected outcomes, and performance metrics.

2. Solution Design & AI Enablement

• Work with AI/Agent engineers to design Agentic AI architectures , multi-agent workflows, and prompt engineering strategies.
• Define AI decision flows, orchestration logic, and knowledge sources (documents, APIs, CRM, ERP, databases, etc.).
• Support data readiness and context preparation (structured/unstructured data, embeddings, vector stores).
• Map legacy or manual workflows to GenAI-powered experiences (chatbots, copilots, process advisors, autonomous agents).
• Design and review mock-ups, low-fidelity prototypes, and process simulations .

3. Cross-functional Collaboration

• Partner with technology, operations, and data teams to align business outcomes with AI implementation feasibility.
• Collaborate with UX teams to ensure AI-driven experiences are intuitive and aligned with business processes.
• Coordinate with project managers to ensure delivery milestones, scope, and success metrics are achieved.

4. Domain Expertise & Value Realization

• Apply deep domain knowledge in:
  • Finance: Order-to-Cash, Record-to-Report, FP&A, Procurement
  • Digital Operations: Campaign management, content generation, analytics automation
  • Customer Operations: Support process optimization, knowledge automation, customer experience improvement
• Translate domain challenges into GenAI-enabled insights and decision-support workflows .
• Track and measure business value realized from AI and automation initiatives.

5. Governance, Documentation & Change Management

• Maintain AI use case repository, requirement traceability, and change logs.
• Contribute to AI governance frameworks , ensuring transparency, explainability, and compliance.
• Conduct user training, stakeholder demos, and feedback sessions for continuous improvement.

Required Skills & Experience

Technical & Functional

• 10–12 years of experience as a Business Analyst , with at least 3–4 years in AI/Automation/Intelligent Process Transformation projects.
• Strong understanding of Generative AI , Large Language Models (LLMs) , Agentic AI frameworks , and RPA .
• Hands-on experience in defining AI use cases, prompt frameworks, conversational flows, and agent behaviors .
• Knowledge of APIs, data pipelines, and knowledge graph concepts for AI enablement.
• Experience working with Autogen, UiPath, Microsoft Copilot Studio, OpenAI, Anthropic, LangChain, or similar platforms .
• Familiarity with process modeling (BPMN/UML) and tools such as Visio, Lucidchart, or ARIS .
• Exposure to cloud-based AI ecosystems (Azure OpenAI, AWS Bedrock, Google Vertex AI).

Business & Analytical

• Proven expertise in Finance, Digital, or Customer Operations processes.
• Strong analytical, problem-solving, and data interpretation skills.
• Ability to map business KPIs to AI/automation success metrics.
• Excellent communication and stakeholder management across business and IT.
• Experience in developing business cases, ROI models, and value realization reports .

Preferred Qualifications

• MBA or equivalent degree in Business, Technology, or Operations Management.
• Certifications: CBAP, PMP, UiPath Business Analyst, AI/ML Foundations, or GenAI certifications .
• Exposure to Agentic platforms such as n8n, Cogniflow, or AutoGPT-based architectures .
• Experience in Agile or Hybrid project delivery methodologies.

Key Attributes

• Strategic thinker with a passion for innovation through AI.
• Self-starter with strong ownership and outcome orientation.
• Excellent interpersonal skills with the ability to engage both executives and technical teams.
• Curiosity-driven mindset with a focus on continuous learning in AI trends and technologies.

Example Project Exposure (Preferred)

• GenAI-powered knowledge assistants or copilots.
• Agentic AI process automation (multi-agent workflows).
• Finance process intelligence or document automation.
• Customer support chatbot or decision assistant.
• AI-driven insights for operations and analytics.