Director & Head of Data & AI
Listed on 2025-12-10
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IT/Tech
AI Engineer, Data Analyst, Data Science Manager, Data Engineer
This range is provided by Diconium. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range$180,000/yr – $210,000/yr
At Diconium, you’ll work on impactful software, data, and AI projects that help global companies do more with less. Collaborate with 2,300+ experts to deliver measurable business value. We foster a supportive, people‑first culture with flexible hybrid work options.
About DiconiumWe’re a global tech group with 30+ years of experience delivering software, data, and AI solutions—trusted by industry leaders like STIHL, Zeiss, Trumpf, and Volkswagen. Operating across Europe, North America, and Asia, we drive digital transformation—from strategy to managed services—shaping a smarter, more sustainable future. We’re proud to be part of the Volkswagen Group.
Job OverviewWe’re looking for a visionary yet hands‑on Director of Data & AI to help us build and lead our U.S. Data & AI practice from the ground up. This is a rare opportunity to shape the future of data and AI at Diconium in the U.S. — driving strategy, building the team, and rolling up your sleeves to deliver impactful solutions.
In this role, you’ll work across the Volkswagen Group and other commercial partners to define and execute data and AI strategies, architect and implement advanced analytics and machine learning solutions, and guide clients through their digital transformation journeys. You’ll split your time between strategic leadership and technical execution
, making this ideal for someone who thrives at the intersection of vision and delivery.
- Define and drive the U.S. data and AI strategy in alignment with global business goals.
- Build and lead a high‑performing team of data scientists, engineers, and analysts.
- Act as a trusted advisor to clients and internal stakeholders on data and AI trends, technologies, and best practices.
- Architect and develop scalable data pipelines, ML models, and analytics solutions.
- Lead end‑to‑end delivery of AI/ML projects—from ideation and prototyping to deployment and monitoring.
- Collaborate closely with engineering teams to embed intelligence into digital products and services.
- Establish data governance frameworks to ensure quality, compliance (e.g., GDPR, CCPA), and consistency.
- Design and oversee modern data architectures across cloud and hybrid environments.
- Promote data literacy and standardized practices across the organization.
- Partner with senior leaders, responsible for building the team and the practice/unit as well as driving sales & business development across existing & new clients.
- Communicate complex technical concepts clearly to both technical and non‑technical audiences.
- Represent Diconium at industry events and thought‑leadership forums.
- Applicants must have authorization to work in the United States that does not now, or in the future, require sponsorship (e.g., H‑1B, F‑1 OPT).
Work Environment Requirements
- Standard office environment: use typical office equipment and sit/stand for extended periods.
- Ability to lift to 15 pounds occasionally.
- Must be able to sit for prolonged periods while traveling by car or airplane.
- Bachelor's or Master’s degree in Computer Science, Data Science, Engineering, Statistics, or related field;
PhD is a plus. - 10+ years of experience in data/analytics, with 2+ years in a leadership or executive role.
- Proven track record of building and scaling data science, AI, and engineering teams along with sales and business development experience.
- Strong knowledge of modern data platforms (Snowflake, Databricks, etc.), analytics tools (Power BI, Tableau), and AI/ML frameworks (Tensor Flow, PyTorch, etc.).
- Experience with cloud infrastructure (AWS, Azure, GCP) and big data ecosystems.
- Demonstrated ability to influence senior executives and lead cross‑functional initiatives.
- Strong understanding of data privacy laws, ethics in AI, and responsible AI practices.
- Experience in highly regulated industries (e.g., finance, healthcare).
- Familiarity with MLOps, CI/CD…
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