Process Manager at eClerx Career Site

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

31 Mar, 26

Salary

0.0

Posted On

31 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Business Analysis, AI Solutions, Generative AI, Large Language Models, Agentic AI, RPA, Finance Operations, Digital Operations, Customer Operations, Data Interpretation, Stakeholder Management, Process Improvement, Analytical Skills, Communication Skills, Project Management, Agile Methodologies

Industry

IT Services and IT Consulting

Description

The ideal candidate must possess in-depth functional knowledge of the process area and apply it to operational scenarios to provide effective solutions. The role enables to identify discrepancies and propose optimal solutions by using a logical, systematic, and sequential methodology. It is vital to be open-minded towards inputs and views from team members and to effectively lead, control, and motivate groups towards company objects. Additionally, candidate must be self-directed, proactive, and seize every opportunity to meet internal and external customer needs and achieve customer satisfaction by effectively auditing processes, implementing best practices and process improvements, and utilizing the frameworks and tools available. Goals and thoughts must be clearly and concisely articulated and conveyed, verbally and in writing, to clients, colleagues, subordinates, and supervisors. 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. About eClerx eClerx is a global leader in productized services, bringing together people, technology and domain expertise to amplify business results. Our mission is to set the benchmark for client service and success in our industry. Our vision is to be the innovation partner of choice for technology, data analytics and process management services. Since our inception in 2000, we've partnered with top companies across various industries, including financial services, telecommunications, retail, and high-tech. Our innovative solutions and domain expertise help businesses optimize operations, improve efficiency, and drive growth. With over 18,000 employees worldwide, eClerx is dedicated to delivering excellence through smart automation and data-driven insights. At eClerx, we believe in nurturing talent and providing hands-on experience. About eClerx Digital eClerx Digital is the trusted partner of choice to many of the world’s largest global brands for creative production, e-commerce/web operations, and analytics and insights services. We help clients maximize the results of their digital activities across the customer journey. Global industry leaders partner with us to cost-effectively scale their digital activities by leveraging our highly skilled blended resource model. To know more about us, visit https://eclerx.com eClerx is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, or any other legally protected basis, per applicable law.

Responsibilities

The Process Manager will lead business analysis, solution design, and implementation of AI solutions, collaborating with various stakeholders to translate business needs into automated solutions. They will also track and measure the business value realized from AI and automation initiatives.