Senior Process Manager

Role Overview

Senior Business Analyst (BA)

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

• 1012 years of experience as a

  Business Analyst

  , with at least

  34 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.