AI-Driven Asset Management Business Analyst

Allwyn Corp; United States; Hybrid; USD 70,000 - 110,000; Full time

Job summary

Allwyn Corp seeks a Business Analyst to transform asset-management processes with a data and AI focus. The role partners with business, IT, and data teams to design scalable workflows, define requirements, and deliver high‑value digital capabilities for asset lifecycle management.

You will map processes, document requirements, and ensure regulatory compliance while enabling analytics‑driven decision support and AI insights across EAM, CMMS, and ERP modules.

Qualifications

• 2–7 years of experience as a Business Analyst, with Rail Asset Management exposure.
• Experience with Asset Management Systems (EAM, CMMS, ERP Asset Modules).
• Hands‑on expertise in BPMN and process modeling tools such as Visio, Signavio, ARIS.
• Solid understanding of data flows, data quality, master data, and metadata management.
• Exposure to AI/ML concepts like predictive maintenance, forecasting, anomaly detection, NLP, or automation.
• Ability to write clear user stories, acceptance criteria, and process documentation.
• Experience collaborating with data engineering, BI teams, and cloud platforms (Azure/AWS/GCP).
• Strong analytical, communication, and cross‑functional collaboration skills.

Responsibilities

• Lead end‑to‑end process discovery, modeling (BPMN), gap analysis, and redesign for asset lifecycle workflows (acquisition, maintenance, depreciation, disposal).
• Gather, document, and validate business, functional, and data requirements for system enhancements and new capabilities.
• Translate asset operations needs into system features, ensuring compliance with financial, regulatory, and audit standards.
• Define data models, metadata needs, and integration points to support analytics, predictive maintenance, anomaly detection, and AI‑driven insights.
• Facilitate workshops, drive alignment, and manage expectations across business, IT, data engineering, and leadership teams.
• Assess vendor solutions, internal prototypes, and AI models for feasibility, scalability, and business value.
• Maintain BRDs, user stories, data dictionaries, and test scenarios.
• 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 lifecycles.
• Lead Business Process Re-engineering (BPR) initiatives to redesign legacy processes and reduce cycle times.

Skills

BPMN

Process Mapping

Data Modeling

Data Quality

Master Data

Metadata Management

AI/ML Concepts

Requirements Engineering

Cloud Platforms

Stakeholder Communication

Tools

Visio

Signavio

ARIS

Azure

AWS

GCP

Job description

Business Analyst- Asset Management (Data & AI Focus)

Position Overview

The 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.