About the role

The BPM/Senior Business Analyst will lead business process transformation and requirements analysis for asset management systems with a focus on data strategy and AI enablement. The role involves mapping end-to-end processes, defining functional requirements, and collaborating with cross-functional teams to deliver scalable digital capabilities.

What they look for

Business Analysis BPMN Asset Management Data Strategy AI/ML Process Mapping Requirements Engineering Value Stream Mapping Business Process Re-engineering SQL Power BI Tableau Cloud Platforms Data Modeling Stakeholder Management Change Management

Requirements

Candidates must have 10+ years of experience in business analysis with strong expertise in asset management systems and process modeling tools like BPMN. Proficiency in data flows, AI/ML concepts, and the ability to drive process re-engineering initiatives are essential for this role.

Full 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.