CG Digital & AI Enablement Associate

About the Role 

As Customer Group Digital and AI Enabling to Drive Customer Performance, you help customer-facing teams across Europe improve performance through practical digital, data, and artificial intelligence applications. Working with Business Operations, CAM teams, and related customer front-end functions, you identify high-value opportunities and turn operational problems into usable solutions. 

You bring hands-on capability in Python, SQL, business intelligence, machine learning, and generative AI assistants. You help teams apply large language model assistants, agents, analytics, and redesigned processes to reduce manual effort, improve decision speed, and create more consistent customer execution. 

You balance experimentation with responsible deployment. You work within approved platforms and governance, validate data and outputs, preserve human review and accountability, and make sure solutions are adopted in daily work rather than remaining isolated pilots. 

Your Team 

Works with customer-facing teams across Europe and the broader Customer Group organization, including Business Operations, CAM teams, process owners, and subject matter experts. The role operates as a cross-functional individual contributor, partnering with Digital, IT, data platform, cybersecurity, governance, and enabling functions. 

Builds practical capability in digital and AI use by sharing reusable patterns, demonstrations, guidance, and lessons learned with colleagues. The role supports teams with less experience and helps connect front-end needs to technical delivery. 

What You Will Do 

Engage with customer-facing teams: Understand pain points, clarify the underlying process or data problem, and define a measurable improvement opportunity with business stakeholders. 

Translate business needs: Turn business needs into practical digital and AI use cases, including analytics, workflow automation, LLM-based assistants, knowledge retrieval, and agent-enabled activities. 

Build and test prototypes: Use Python, SQL, data preparation, machine learning, business intelligence, and approved enterprise platforms to test solutions and document assumptions, limitations, and results. 

Use operational data: Work with operational data sources and KPI structures to improve transparency, decision support, and executive insight for customer-related processes. 

Re-architect selected processes: Work with process owners to remove avoidable manual work while preserving appropriate human review, controls, and accountability. 

Apply responsible AI: Apply practical standards for data access, quality, explainability, security, privacy, prompt design, and human-in-the-loop validation. 

Lead defined workstreams: Lead small projects or defined workstreams with manageable scope and risk, coordinate stakeholders, track actions, and escalate decisions when needed. 

Measure customer performance: Measure impact through agreed KPIs such as cycle time, manual effort, data quality, adoption, decision speed, and customer-facing performance. 

Drive adoption: Create clear user guidance, demonstrations, and lightweight training so that solutions are adopted by the teams they are intended to support. 

Share reusable patterns: Share lessons learned and best practices with colleagues and act as a practical resource for teams with less experience in digital and AI applications. 

What You Need 

Master's degree or equivalent in industrial engineering, data science, computer science, artificial intelligence, machine learning, operations research, business analytics, or a related discipline. 

Early-career profile with relevant internships, university projects, research, or initial practical experience in a professional environment. The role is intentionally suitable for a strong starter rather than requiring long-term professional tenure 

Hands-on capability in Python and SQL, with a working understanding of data preparation, analytics, machine learning, and data or business intelligence frameworks. 

Practical exposure to generative AI, large language models, prompt design, automated reasoning, AI assistants, or agent-based workflows, with the curiosity to learn rapidly as the technology evolves. 

Ability to connect technical analysis with business processes, operational KPIs, user needs, and measurable outcomes, with guidance where needed. 

Structured problem-solving skills, including the ability to break down defined or moderately ambiguous questions, test hypotheses, validate data, and communicate findings and trade-offs clearly. 

Ability to work collaboratively with technical and non-technical stakeholders in a cross-functional, international environment, contributing effectively to projects and workstreams. 

Professional fluency in English; German or another European language is an advantage. Willingness to collaborate with teams across Europe and travel occasionally when required. 

What is Nice to Have 

Experience converting operational or enterprise data, including ERP-derived data, into dashboards, decision support, process automation, or executive insight. 

Experience with Microsoft Fabric, Power BI, or comparable data and analytics platforms, including the integration of AI-generated insights where appropriate. 

Experience improving data quality or model efficiency through data reduction, clustering, feature engineering, validation, or other structured analytical methods. 

Evidence of improving a process, reducing manual effort, creating usable technical documentation, or supporting users in adopting a new way of working. 

Exposure to industrial, automotive, engineering, manufacturing, or other operational environments where reliability, traceability, and practical implementation matter. 

What Makes You Eligible 

Be willing to work primarily from the Munich, Germany location and collaborate with teams across Europe. 

Be willing to travel occasionally within Europe to support customer-facing teams, process owners, and implementation activities. 

Successfully complete any required employment screening in accordance with applicable law and company policy. 

What We Offer 

Flexible work environment, including hybrid work options where compatible with the role and applicable company policy. 

Access to employee discounts on world-class HARMAN and Samsung products (JBL, HARMAN Kardon, AKG, and more). 

Extensive training opportunities through HARMAN University. 

Competitive wellness benefits. 

Tuition reimbursement. 

Access to HARMAN Campus Fitness Center and Cafeteria, where available. 

An inclusive and diverse work environment that fosters and encourages professional and personal development.