AI Operations Consultant for Alto Software Group focusing on AI - driven efficiencies and automation across operations and systems. A role supporting cross - functional collaboration to implement impactful solutions.
About the role
- Lead Data & AI Consultant analyzing client needs and designing AI platforms. Collaborating within interdisciplinary teams to build sustainable data architectures on Microsoft technologies.
Responsibilities
- Strategic analysis and evaluation of complex client requirements to derive forward-looking Data & AI strategies and solution architectures
- Responsible for designing and implementing high-performance Data & AI platforms based on the Microsoft ecosystem (Microsoft Fabric, Cloud AI & Analytics)
- Building and optimizing modern data pipelines for diverse target applications, considering efficient processes and scalable IT systems
- Professional development and coaching of staff as well as targeted knowledge transfer through training, workshops and mentoring
- Technology scouting: continuous identification and assessment of new trends in Data & AI and their strategic integration into the company
- Active stakeholder management with clients, executive management and internal business units
Requirements
- Several years (at least 5–7 years) of professional experience implementing complex Data & AI projects in cloud environments, preferably on the Microsoft platform
- Deep expertise in AI, Data Engineering and scalable data architectures (e.g., Microsoft Fabric, Cloud AI & Analytics)
- Experience in technical leadership of staff or several years of responsibility in senior project, lead, or architecture roles
- Solid experience in complex projects, strategic decision-making and client advisory, ideally in a consulting-related environment
- Strong communication and presentation skills, high customer orientation, and the ability to explain complex technical and domain matters clearly
- Analytical thinking, entrepreneurial drive and a self-motivated, structured and proactive working style
- Strong affinity for modern technologies and innovation processes, and the motivation to actively advance new Data & AI topics within the company
- Business-fluent German and English skills, both written and spoken
- Degree in (Business) Computer Science or a comparable field
Benefits
- Flexible working: Work hybrid — at the office or from home — and adapt your working hours flexibly to your life situation
- Comfortable locations: Modern offices in central locations in Frankfurt am Main or Berlin, conveniently connected and comfortably designed
- Learn and grow: Take the opportunity to gain hands-on experience in exciting projects and further develop your skills
- Team spirit: Enjoy regular team events, afterworks and networking opportunities to become part of our vibrant company culture
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
AI Subject Matter Expert at Agile Defense, transforming AI technologies for cybersecurity. Leading initiatives in the Security Operations Center to enhance operational capabilities and threat detection.
Change & Communications Manager at PwC Australia driving AI adoption through effective change strategies. Leading initiatives across financial services, government, healthcare, energy, and technology sectors.
Manager providing oversight for AI/ML initiatives and implementing governance at TD, a leading financial institution.
Managing Consultant at AND Digital aligning data and AI strategies with business goals. Guiding clients on data value and AI integration within their operations in the UK.
Lead AI - /GenAI projects from scoping to rollout for major clients at twomynds. Collaborate with experts and ensure effective project delivery with clear objectives and standards.
AI Program Leader leading the development of Alcoa’s AI strategy and managing AI deployment. Collaborating with stakeholders to prioritize AI opportunities and ensure value delivery across operations.
Project Lead managing a 50 - person AI training team at Keywords Studios. Overseeing performance and process improvements while collaborating across multiple functions and teams.
AI Analyst at Level AI analyzing user behaviors and trends to drive product impact. Collaborating on automation enhancements and statistical modeling for improved AI performance.
AI Data & Architecture Specialist responsible for optimizing AI data pipelines at Straker. Designing retrieval systems for autonomous AI workforce management in New Zealand.