Business Analyst – Railroad Project

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.