Director, Data Science & AI - Cloud Transformation

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

This senior leadership role sits at the intersection of data science, AI innovation, and large-scale cloud transformation. You will lead multi-team delivery efforts while shaping the technical vision for enterprise-grade Azure data and AI programs. The role combines hands-on architectural leadership with people management, requiring you to guide senior architects and engineering teams toward scalable, production-ready solutions. You will define modernization strategies, data and AI frameworks, and reusable architecture patterns that drive consistency across complex programs. Acting as a key technical advisor, you will translate business goals into AI-driven and data-centric roadmaps that deliver measurable outcomes. The environment is highly collaborative, fast-moving, and innovation-focused, with strong emphasis on engineering excellence, automation, and responsible AI adoption.

Accountabilities

Lead and grow multiple teams of architects and engineers while ensuring delivery excellence, technical alignment, and strong team health across programs.

• Provide leadership across distributed teams, including coaching, mentoring, performance management, and talent development initiatives.
• Oversee Azure-based architecture strategy across data, applications, and AI workloads for enterprise-scale transformation programs.
• Define and drive cloud modernization roadmaps, reference architectures, and reusable technical patterns.
• Guide complex architectural decisions, ensuring alignment across security, scalability, performance, cost, and reliability.
• Lead executive-level discussions with stakeholders, translating business objectives into technical solutions and delivery plans.
• Ensure strong delivery governance, including architecture reviews, backlog alignment, dependency management, and risk tracking.
• Promote AI-assisted engineering practices, automation, CI/CD, and observability across teams and programs.
• Support sales and pursuit activities by contributing to solution design, estimation, and technical strategy for new opportunities.
  
  

Requirements

This role requires extensive experience in data science, AI, cloud architecture, and enterprise-scale program leadership, combined with strong consulting and stakeholder engagement skills.

• 12+ years of experience in software engineering, cloud platforms, data, or analytics, with enterprise-scale delivery exposure.
• 7+ years in solution architecture and engineering leadership, including multi-team or program-level ownership.
• Deep expertise in data science, machine learning, and Azure data ecosystems (e.g., Azure ML, Databricks, Synapse, Fabric).
• Strong background in ML engineering, MLOps, data pipelines, governance, and advanced analytics techniques.
• Experience with generative AI, RAG systems, prompt engineering, and modern AI frameworks.
• Proven ability to design scalable data and AI architectures aligned with business outcomes.
• Strong consulting experience with executive-level communication, stakeholder management, and client-facing leadership.
• Hands-on knowledge of Agile delivery at scale, CI/CD, DevOps, and modern software engineering practices.
• Relevant Azure or Databricks certifications are strongly preferred.
• Strong leadership, communication, and problem-solving skills with the ability to operate in complex, fast-paced environments.
  
  

Benefits

• Flexible, virtual-first remote work model across the United States
• Competitive base salary with annual bonus eligibility (range: $168,400 - $252,600 USD)
• 401(k) with employer match

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• Comprehensive medical, dental, and vision insurance options
• 100% employer-paid life and disability insurance
• Paid parental leave for all parents
• Flexible PTO plus paid company holidays and personal days
• Health Savings Account (HSA), Flexible Spending Accounts (FSA), and dependent care options
• Monthly tech and home office stipend
• Employee Assistance Program (EAP) support
• Inclusive, collaborative, and high-performance engineering culture focused on growth and innovation
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.