Process Design and Mining Specialist

A Career At Harman

As a technology leader that is rapidly on the move, Harman is filled with people who are focused on making life better. Innovation, inclusivity and teamwork are a part of our DNA. When you add that to the challenges we take on and solve together, you'll discover that at Harman you can grow, make a difference and be proud of the work you do every day.

Introduction: A Career at Harman Automotive

We're a global, multi-disciplinary team that's putting the innovative power of technology to work and transforming tomorrow. At Harman Automotive, we give you the keys to fast-track your career.

• Engineer audio systems and integrated technology platforms that augment the driving experience
• Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence
• Advance in-vehicle infotainment, safety, efficiency, and enjoyment

• Lead discovery workshops and stakeholder interviews across product engineering, supply chain, finance, manufacturing, quality, sales, operations, and other enterprise functions.
• Map AS-IS processes, decision points, handoffs, roles, tools, data inputs and outputs, controls, exceptions, and pain points down to task level using clear object/action naming.
• Capture informal and hidden work that is not visible in ERP, CRM, PLM, ALM, workflow, or ticketing systems, especially work managed through Excel, email, documents, and meetings.
• Use process mining or process intelligence where event logs exist to validate actual execution paths, variants, rework loops, waiting time, bottlenecks, conformance issues, and automation opportunities.
• Diagnose bottlenecks, delays, waste, deviations, and root causes; convert findings into clear problem statements, target outcomes, process improvement options, and measurable KPIs.
• Apply lean thinking and process optimization to challenge legacy steps, simplify handoffs, reduce rework, remove non-value-added work, and clarify ownership before automation is proposed.
• Facilitate AI-native process redesign by identifying which steps should be eliminated, replaced by AI or automation, assisted by AI, restructured, or intentionally maintained.
• Design TO-BE processes that clarify what AI does, what humans do, where human review is required, and how exceptions, controls, trust, and explainability should work.
• Translate redesigned processes into actionable requirements for AI engineers and product teams, including user stories, acceptance criteria, data needs, API needs, tool access, controls, and success measures.
• Help shape a common repository for redesigned processes, data flows, semantic logic, and ontology information, including ownership, hierarchy, versioning, change control, auditability, and links to tools, data products, APIs, and controls.
• Define and govern standards for capturing business semantic logic, ontology concepts, business rules, definitions, and relationships, ensuring consistent methods, granularity, ownership, and reuse across business areas while business owners remain accountable for content accuracy.
• Connect process owners with Functional AX teams, AI engineering, enterprise architecture, data owners, LeanIX/tool catalog owners, and governance stakeholders.
• Support pilots and prototypes by defining scope, success metrics, feedback loops, risks, adoption needs, and the backlog required to test new ways of working.

• Typically 8+ years of experience in process improvement, lean operations, business transformation, product ownership, operations excellence, process design, or a related discipline in the automotive industry.
• Strong problem-solving mindset, with the ability to analyze why processes underperform, separate symptoms from root causes, and convert ambiguity into practical improvement actions.
• Lean thinking and process optimization skills, including the ability to challenge unnecessary complexity, simplify workflows, reduce waste, and distinguish true business requirements from historical workarounds.
• Strong facilitation skills, with the ability to listen carefully, ask precise questions, synthesize messy information, and help teams align on how work actually happens.
• Experience analyzing and improving process flows, operating procedures, roles and responsibilities, business rules, controls, data handoffs, and operational KPIs.
• Product ownership and agile delivery skills, including backlog creation, prioritization, user story writing, acceptance criteria, sprint planning, and stakeholder feedback loops.
• Workflow design and UX thinking, especially the ability to make a process usable for the people who must operate it every day.
• Practical AI literacy, with the ability to learn the organization's AI landscape and solution stack across generative AI, prediction models, OCR/document understanding, RPA, scripts/macros, APIs, analytics, and human-in-the-loop review.
• Ability to evaluate process repository options, including specialized process tools and simpler Markdown/Git Hub-based approaches, based…