Business Analyst- Asset Management (Data & AI Focus)Position OverviewThe
Business Analyst will lead business process transformation and requirements analysis for our
Asset Management System, with a strong emphasis on
data strategy,
AI/ML enablement, and
analytics-driven decision support. This role partners with business, technology, and data teams to design scalable processes, define functional and non-functional requirements, and ensure delivery of high-value digital capabilities.
Key Responsibilities- Process Mapping & Optimization - Lead end-to-end process discovery, modeling (BPMN), gap analysis, and redesign for asset lifecycle workflows (acquisition, maintenance, depreciation, disposal).
- Requirements Engineering - Gather, document, and validate business, functional, and data requirements for system enhancements and new capabilities.
- Asset Management Domain Analysis - Translate asset operations needs into system features, ensuring compliance with financial, regulatory, and audit standards.
- Data & AI Enablement - Define data models, metadata needs, and integration points to support analytics, predictive maintenance, anomaly detection, and AI-driven insights.
- Stakeholder Management - Facilitate workshops, drive alignment, and manage expectations across business, IT, data engineering, and leadership teams.
- Solution Evaluation - Assess vendor solutions, internal prototypes, and AI models for feasibility, scalability, and business value.
- Documentation & Governance - Maintain BRDs, user stories, process maps, data dictionaries, and test scenarios.
- Change Management - Support UAT, training, adoption, and rollout of new processes and system capabilities.
- Apply Value Stream Mapping (VSM) to identify waste, bottlenecks, and cost drivers across asset lifecycle workflows, quantifying improvement opportunities.
- Lead Business Process Re-engineering (BPR) initiatives to challenge and redesign legacy processes, reducing cycle times, manual handoffs, and operational risk at scale.
Required Skills & Experience- 2-7 years of experience working as a Business Analyst, with experience in Rail Asset Management.
- Strong experience with Asset Management Systems (EAM, CMMS, ERP Asset Modules).
- Hands-on expertise in BPMN, process modeling tools (Visio, Signavio, ARIS).
- Solid understanding of data flows, data quality, master data, and metadata management.
- Exposure to AI/ML concepts such as predictive maintenance, forecasting, anomaly detection, NLP, or automation.
- Ability to write clear user stories, acceptance criteria, and process documentation.
- Experience working with data engineering, BI teams, and cloud platforms (Azure/AWS/GCP).
- Strong analytical, communication, and cross-functional collaboration skills.
Preferred Qualifications- Experience with AI-enabled asset management or IoT/telemetry data.
- Familiarity with SQL, Power BI/Tableau, or data modeling.
- Knowledge of ITIL, ISO 55000, or other asset management frameworks.
- Background in automation (RPA, workflow engines, intelligent document processing).
- Certifications: CBAP, PMP, Lean Six Sigma, BPM, or Data Analytics.
Key Value This Role Brings- Drives process excellence across asset lifecycle operations.
- Enables data-driven decision making and AI-powered insights.
- Bridges business needs with modern digital and data capabilities.
- Ensures scalable, compliant, and future-ready asset management processes
Note: Quarterly travel for PI meetings.
