BPM/Senior Business Analyst

Allwyn Corp; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Allwyn Corp's BPM/Senior Business Analyst will drive business process transformation for the Asset Management System, with a strong emphasis on data strategy, AI/ML enablement, and analytics-driven decision support. You will partner with business, technology, and data teams to design scalable processes and define requirements.

This role requires hands-on BPMN modeling, end-to-end process discovery, documentation, change management, and governance across asset lifecycle workflows.

Qualifications

• 10+ years as a BA/BPM/Product Analyst.
• Experience with Asset Management Systems (EAM/CMMS/ERP Asset Modules).
• Proficiency in BPMN and process modeling tools.
• Strong understanding of data flows, data quality, master data, and metadata management.
• Exposure to AI/ML concepts including predictive maintenance and anomaly detection.
• Ability to write clear user stories and acceptance criteria.
• Experience with data engineering, BI teams, and cloud platforms (Azure/AWS/GCP).
• Strong analytical and cross-functional collaboration skills.

Responsibilities

• Map and optimize asset lifecycle processes from acquisition to disposal.
• Gather, document, and validate business and data requirements.
• Translate asset operations needs into system features.
• Define data models and integration points for analytics and AI.
• Facilitate workshops and align stakeholders across teams.
• Evaluate vendor solutions and AI models for feasibility and value.
• Maintain BRDs, user stories, data dictionaries, and test scenarios.
• Support UAT, training, adoption, and rollout.
• Apply value stream mapping to identify waste and bottlenecks.
• Lead business process re-engineering to reduce cycle times and risk.

Skills

Years of BA experience

Asset Management Systems

BPMN

Data flows

AI/ML concepts

User stories & acceptance criteria

Data engineering & BI teams

Cloud platforms (Azure/AWS/GCP)

Cross-functional collaboration

Tools

Visio

Signavio

ARIS

Job description

BPM/Senior Business Analyst- Asset Management (Data & AI Focus)

Position Overview

The BPM/Senior 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

• 10+ years as a Business Analyst , BPM Analyst , or Product Analyst.

• 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.

Required Skills & Experience

• 10+ years as a Business Analyst , BPM Analyst , or Product Analyst.

• 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.