Senior AI Business Process Engineer

Prologis • Denver, CO

5h

About The Position

At Prologis, we don’t just lead the industry—we define it with a 1.3 billion square foot portfolio and an annual throughput of approximately $3.2 trillion. We create the intelligent infrastructure that powers global commerce, seamlessly connecting the digital and physical worlds. From agile supply chains to energy solutions, our ecosystems help your business move faster, operate smarter and grow sustainably. With unmatched scale, innovation and expertise, Prologis is a category of one—not just shaping the future of logistics but building what comes next. A day in the life As a Senior Business Process Engineer on the Data Solutions Team, you will be responsible for rethinking and redesigning core business processes to enable automation and AI adoption. In this role, you will combine business process expertise with technical implementation skills to model, deploy, and drive adoption of redesigned processes. You will capture current workflows, build and prioritize a backlog of improvement opportunities, and guide initiatives from concept to execution while collaborating with and influencing stakeholders. By ensuring processes are scalable, AI-ready and executable by our Process Orchestration Engine, you will help unlock the full potential of decision automation and AI agents. You will establish an ongoing feedback loop by monitoring and measuring implemented processes and adjusting as needed. This role is closely connected to our enterprise data foundation and leverages a robust semantic data model to ensure redesigned processes align with company-wide data standards and deliver maximum value. This role requires the ability to rethink processes from the ground up and the courage to propose innovative changes that challenge the status quo.

Requirements

• Bachelor’s degree in Business, Information Systems, or related field.
• 5+ years of experience in process engineering, BPM, or process optimization.
• Deep expertise in BPMN 2.0 and DMN modeling and process redesign.
• Strong skills in stakeholder facilitation, backlog management, and progress reporting.
• Experience supporting multiple concurrent projects with internal teams and external vendors.
• Hands-on experience designing and deploying BPMN/DMN directly in Camunda 8 (Zeebee), serving as the source of truth for delivery.
• Working knowledge of data modeling principles (dimensions/facts, star schemas, slowly changing dimensions) and ability to collaborate effectively with data engineers and analysts to specify datasets, define metrics, validate results, and ensure alignment with semantic data models.
• Proven track record of successful automation and agentic AI deliverables.
• Strong curiosity and passion for AI, with an instinct for applying AI in daily work and the vision to integrate AI thoughtfully into business processes where value is added.
• Excellent communication skills, with the ability to bridge business and technology, collaborate effectively with business stakeholders, and navigate negotiations when priorities or approaches differ.

Nice To Haves

• Exposure to process mining tools and methodologies.
• Experience with automation and AI tools (RPA, IDP, OCR, NLP, ML integration).
• Familiarity with API-driven and event-driven workflow design.
• Experience working in agile, cross-functional teams.
• Data literacy and SQL proficiency and the ability to translate process KPIs into queries and reusable views that support monitoring, dashboards, and value realization.
• Exposure to a programming language such as Java, Python, or JavaScript is a plus.

Responsibilities

• Lead process discovery and redesign workshops to analyze current state, uncover root causes, and define future-state processes optimized for AI enablement.
• Design, validate, and iterate executable BPMN 2.0 and DMN models that serve as the authoritative blueprint for implementation and system integration. Your designs will also incorporate deterministic and probabilistic decision automation and integrate AI agents to enhance business outcomes.
• Provide regular reporting on progress, risks, and outcomes in an agile manner to leadership and stakeholders.
• Partner with business and technical teams to ensure redesigned processes integrate seamlessly with enterprise systems and data flows and always meet compliance requirements.
• Collaborate with vendors and partners to manage multiple projects in parallel, ensuring deliverables meet enterprise standards and demanding timelines.
• Support and enable process ownership and governance across departments, ensuring adherence to standards, security, and PII controls.
• Support the cataloging of processes as assets, building a comprehensive enterprise process landscape that informs AI and automation roadmaps.
• Use process mining and analytics tools (e.g., Camunda Optimize) to measure adoption, performance, and business value realization.
• Advocate for practical AI adoption by demonstrating how redesigned processes and AI agents can augment human decision-making.
• Collaborate closely with the Data Solutions team to align redesigned processes with the company’s data foundation, ensuring they integrate seamlessly with the semantic data model and broader data strategy

Benefits

• All full-time roles in the US come with a robust benefits package which includes healthcare, dental, and vision insurance for employees and eligible dependents.
• Prologis also offers several other wellness, financial, and work/lifestyle-specific benefits.
• Our 401(k) retirement plan has a company match of 50% up to 12% of eligible compensation.
• We also offer generous PTO with a starting accrual of 22 days a year in addition to paid holidays and volunteer time.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 1,001-5,000 employees