Job Description
Team: IT
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.
- 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.
- 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
- 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
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.
Benefits:
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Date Posted
04/10/2026
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