Allwyn Corp - Business Analyst – Railroad Project

• Asset Management Domain Analysis — Translate asset operations needs into system features, ensuring compliance with financial, regulatory, and audit standards. • Asset Management Domain Analysis • Data & AI Enablement — Define data models, metadata needs, and integration points to support analytics, predictive maintenance, anomaly detection, and AI‑driven insights. • Data & AI Enablement • Stakeholder Management — Facilitate workshops, drive alignment, and manage expectations across business, IT, data engineering, and leadership teams. • Stakeholder Management • Solution Evaluation — Assess vendor solutions, internal prototypes, and AI models for feasibility, scalability, and business value. • Solution Evaluation • Documentation & Governance — Maintain BRDs, user stories, process maps, data dictionaries, and test scenarios. • Documentation & Governance • Change Management — Support UAT, training, adoption, and rollout of new processes and system capabilities. • Change Management • Lead Business Process Re-engineering (BPR) initiatives to challenge and redesign legacy processes, reducing cycle times, manual handoffs, and operational risk at scale. • 2–7 years of experience working as a Business Analyst, with experience in Rail Asset Management. • Business Analyst • Rail Asset Management • Strong experience with Asset Management Systems (EAM, CMMS, ERP Asset Modules). • Asset Management Systems • Hands‑on expertise in BPMN, process modeling tools (Visio, Signavio, ARIS). • Solid understanding of data flows, data quality, master data, and metadata management. • data flows • data quality • master data • metadata management • Exposure to AI/ML concepts such as predictive maintenance, forecasting, anomaly detection, NLP, or automation. • AI/ML concepts • Ability to write clear user stories, acceptance criteria, and process documentation. • user stories • acceptance criteria • process documentation • Experience working with data engineering, BI teams, and cloud platforms (Azure/AWS/GCP). • data engineering • cloud platforms • Strong analytical, communication, and cross‑functional collaboration skills. • Experience with AI‑enabled asset management or IoT/telemetry data. • AI‑enabled asset management • IoT/telemetry data • Familiarity with SQL, Power BI/Tableau, or data modeling. • Power BI/Tableau • data modeling • Knowledge of ITIL, ISO 55000, or other asset management frameworks. • ISO 55000 • Background in automation (RPA, workflow engines, intelligent document processing). • automation • Certifications: CBAP, PMP, Lean Six Sigma, BPM, or Data Analytics. • Lean Six Sigma • Data Analytics • Key Value This Role Brings • Drives process excellence across asset lifecycle operations. • process excellence • Enables data‑driven decision making and AI‑powered insights. • data‑driven decision making • 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.