Allwyn Corp Business Analyst leads business process transformation and requirements analysis for Asset Management Systems with a focus on data strategy, AI/ML enablement, and analytics-driven decision support.
Responsibilities
Process Mapping & Optimization — Lead end‐to‐end process discovery, modeling (BPMN), gap analysis, and redesign for asset lifecycle workflows (acquisition, maintenance, depreciation, disposal).
Qualification
Change Management — Support UATHands‐on expertise in BPMNSolid understanding of data flowsFamiliarity with SQLKnowledge of ITILBackground in automation (RPACertificationsKey Value This Role Brings
Required
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.
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.
Preferred
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.