Role: Senior Business Analyst – Low-Code/No-Code
Location: Noida
About the Role
We are looking for a Senior Business Analyst with a strong blend of domain expertise and digital transformation acumen to drive the adoption of low-code/no-code (LC/NC) agentic AI platforms across asset-heavy industries such as Oil & Gas, Manufacturing, Utilities, Mining, or Infrastructure. You will serve as the critical bridge between business operations and technology teams, translating complex operational challenges into intelligent, scalable agent-based solutions.
Key Responsibilities
Business Analysis & Requirements
- Elicit, document, and validate business requirements from stakeholders across operations, maintenance, finance, and supply chain functions in asset-heavy environments
- Conduct current-state process assessments (as-is) and design future-state workflows (to-be) optimized for agentic automation
- Develop detailed functional specifications, user stories, and acceptance criteria for LC/NC agent deployments
- Identify automation opportunities across asset lifecycle management, predictive maintenance, procurement, compliance, and field operations
Low-Code/No-Code Agent Development
- Design, configure, and deploy AI agents and automated workflows using platforms such as Microsoft Power Platform, ServiceNow, OutSystems, Appian, Mendix, or emerging agentic tools (e.g., Copilot Studio, Agentforce, CrewAI)
- Build and iterate on agent logic, decision trees, and orchestration flows without heavy reliance on traditional software development
- Collaborate with IT and data engineering teams to integrate agents with enterprise systems such as SAP, IBM Maximo, OSIsoft PI, or AVEVA
- Define and manage data inputs/outputs, API connections, and event-driven triggers for agent workflows
- Ensure agents comply with operational technology (OT) and IT security standards
Stakeholder Engagement & Change Management
- Work closely with plant managers, reliability engineers, operations leads, and C-suite sponsors to align agent solutions with business KPIs
- Facilitate workshops, demos, and sprint reviews to gather feedback and drive iterative improvements
- Create business cases, ROI models, and value realization frameworks to justify and track investment in LC/NC initiatives
- Champion adoption through training, documentation, and hypercare support post-deployment
Governance & Quality
- Define and enforce best practices, guardrails, and governance standards for LC/NC agent development within the organization
- Conduct UAT (User Acceptance Testing), regression testing, and performance validation for deployed agents
- Monitor agent performance, flag anomalies, and drive continuous improvement cycles
- Maintain audit trails and ensure regulatory compliance (e.g., ISO 55000, OSHA, EPA, or industry-specific standards)
Required Qualifications
- 7+ years of experience in business analysis, with at least 3 years in asset-heavy industries (Oil & Gas, Energy, Utilities, Manufacturing, Mining, or similar)
- Hands-on experience with at least one major LC/NC platform (Power Platform, ServiceNow, Appian, Mendix, OutSystems, or equivalent)
- Familiarity with agentic AI concepts including multi-agent orchestration, RAG pipelines, tool use, and autonomous decision-making
- Strong understanding of asset management frameworks (ISO 55000, APM, RCM) and industrial operations
- Experience integrating LC/NC solutions with ERP/EAM systems such as SAP PM/MM, IBM Maximo, or Infor EAM
- Proficiency in process modeling tools (BPMN, Visio, Lucidchart) and Agile/Scrum methodologies
- Strong data literacy — ability to work with structured/unstructured data, dashboards, and basic analytics
Preferred Qualifications
- Knowledge of LC/NC platforms (Microsoft Power Platform, OpenAI - Frontier, ServiceNow etc.)
- Exposure to Industrial IoT (IIoT), SCADA, historian data, or digital twin concepts
- Experience with AI/ML concepts relevant to predictive maintenance, anomaly detection, or asset optimization
- Knowledge of OT/IT convergence and cybersecurity considerations in industrial environments
- Agile, SAFe, or PMP certification
Key Competencies
- Systems thinking with the ability to connect operational realities to digital solutions
- Strong facilitation and storytelling skills to influence both technical and non-technical audiences
- Comfort operating in ambiguous, fast-evolving technology landscapes
- Attention to detail in regulated, safety-critical environments
- Collaborative mindset with a bias for practical, deployable outcomes over theoretical perfection
