Head Data Science & AI (Director)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Head of Data Science & AI (Director) in the United States.

We are seeking a hands-on, strategic leader to drive the development and scaling of AI and ML systems that transform research prototypes into production-ready solutions. This role combines deep technical expertise with team leadership, empowering the creation of AI-powered products that deliver measurable business impact. The successful candidate will lead a small team of specialists, collaborate across engineering and product functions, and shape the organization’s AI strategy. This is an opportunity to work on cutting-edge predictive analytics, anomaly detection, multi-cloud cost optimization, and autonomous AI solutions at enterprise scale, all while fostering a culture of innovation and technical excellence.

Accountabilities:

As Head of Data Science & AI, you will define and execute the AI/ML roadmap while mentoring a high-performing team. Key responsibilities include:

• Lead by example with hands-on development, architecture, and problem-solving across AI/ML systems.
• Prototype and translate novel ML/AI research ideas into production-ready, scalable systems.
• Build AI-powered features for cost optimization, predictive analytics, anomaly detection, and related applications.
• Establish technical standards, best practices, and development processes for AI/ML workflows.
• Hire, mentor, and develop a team of AI/ML specialists, fostering collaboration, learning, and innovation.
• Partner with engineering and product teams to embed AI capabilities across the platform.
• Communicate complex AI concepts clearly to executives, stakeholders, and customers.
• Represent AI capabilities in external forums, industry events, and customer engagements.

Candidates should combine technical depth with leadership and strategic vision. Essential qualifications include:

• 8+ years of experience in Data Science, ML Engineering, or related fields in high-growth SaaS environments.
• Hands-on technical leadership, including mentoring, coaching, and hiring AI/ML talent.
• Proficiency across the modern data science stack: data pipelines, modeling, deployment, and monitoring.
• Proven experience with time series modeling, forecasting, and anomaly detection systems.
• Strong programming skills in Python and experience with cloud ML tools (e.g., SageMaker, Bedrock).
• Experience integrating GenAI/LLM systems into production use cases.
• Excellent communication skills, with the ability to convey technical concepts to non-technical and executive audiences.
• Pragmatic, impact-driven mindset with a focus on simplicity, customer value, and speed.

Preferred qualifications:

• Experience developing enterprise-scale AI/ML solutions that directly influence business outcomes.
• Familiarity with multi-cloud architectures and cost attribution optimization.
• Background in real-time predictive analytics and autonomous optimization systems.

• Fully remote work with a flexible and inclusive work environment.
• Competitive total compensation ($180,000–$250,000 estimated range).
• Opportunities to lead innovative AI initiatives that shape enterprise products.
• Professional development and mentorship for team members.
• Collaborative culture that encourages creativity, experimentation, and technical excellence.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.
Thank you for your interest!

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