Senior Data & AI Consultant
Role details
Job location
Tech stack
Job description
The Senior Data & AI Consultant is responsible for the structured identification and analysis of customer requirements in the field of Data, AI & ML. They support the Commercial Team by developing solution proposals that are both technologically sound and business-comprehensible. Additionally, they act as a Trusted Advisor for customers, particularly in the media sector., Requirements Analysis & Presales:
- Participate in initial customer meetings to identify requirements and business objectives.
- Structurally analyze customer briefings to extract key challenges and identify missing information.
- Develop a rebriefing to align the enhanced understanding with the customer.
Solution Development & Architecture:
- Develop solution approaches for Data, AI & ML projects, considering cloud technologies (AWS, Azure, GCP).
- Define the necessary infrastructure, data architecture, and machine learning pipelines.
- Create a technical solution proposal, including team composition and estimated implementation timeline.
Customer-Centric Communication & Proposal Support:
- Support the Commercial Team in preparing proposals, including the technical rationale.
- Present solutions in a clear and understandable manner for different stakeholders (both technical & business).
- Clarify technical and commercial questions throughout the proposal process.
Implementation Experience & Media Industry Focus:
- Experience in executing Data, AI, and ML projects, preferably in agile teams.
- Ability to quickly grasp challenges in the media industry and develop industry-specific solutions.
Requirements
- Solid understanding of data architectures, data warehouses, data lakes, and modern cloud technologies (AWS, Azure, GCP).
- Experience with Machine Learning Operations (MLOps), data governance, and AI-powered analytics.
- Knowledge of streaming and real-time data processing (Kafka, Airflow, Kinesis, etc.).
- Programming languages: Python, SQL (Spark or Scala is a plus).
- Experience with AI frameworks and libraries (TensorFlow, PyTorch, OpenAI API, etc.).
- Understanding of regulatory requirements and data security policies.
Soft Skills & Business Acumen:
- German (Native), English (C1)
- Analytical Thinking: Ability to break down complex problems into components and derive structured solutions.
- Communication: Ability to explain technical concepts in a simple and convincing way, even to non-technical stakeholders.
- Structured Work Approach: Experience in methodical requirement analysis and solution development.
- Persuasiveness: Ability to advise customers and enable well-informed decisions.
- Collaboration: Close interaction with internal teams to ensure a seamless transition from presales to delivery.
- Industry Knowledge: Experience in the media sector or the ability to quickly adapt to media-related challenges., * Degree in Computer Science, Data Science, Engineering, Business Informatics, or a related field.
- 5+ years of experience in Data Engineering, Data Science, or AI/ML consulting.
- Experience in consulting and presales, ideally with direct customer interaction.
- Industry knowledge in media companies or other data-driven industries is a plus.