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What is the role of a Director- Data Science at Jobgether?

The Director- Data Science position at Jobgether is a Full-time or part-time position opportunity in the Executive/Management field.

Where is this Director- Data Science job located?

United States, Other / Non-US, United States

What type of employment is offered for this Director- Data Science role?

Full-time or part-time position

What is the expected salary for this Director- Data Science job?

Compensation will be discussed during the hiring process.

Director- Data Science job near me in United States, Other / Non-US at Jobgether

Director- Data Science

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

This is an exciting opportunity for a senior data and cloud technology leader to drive large-scale modernization and AI transformation initiatives in a highly collaborative, consulting-driven environment. The role combines strategic leadership, technical architecture, and people management, making it ideal for someone passionate about building high-performing teams and delivering enterprise-grade data science solutions. You will lead complex Azure-based programs spanning data, analytics, machine learning, and AI capabilities while partnering with executive stakeholders to shape long-term technology roadmaps. In this position, you will influence technical direction across multiple teams, establish scalable engineering and governance practices, and champion innovation through modern cloud and AI technologies. The role offers a flexible, remote-first work environment where experimentation, continuous learning, and collaboration are highly valued. This is a unique chance to make a broad organizational impact while mentoring future technical leaders and contributing to cutting-edge cloud transformation programs.

Accountabilities:

Lead the architecture, strategy, and delivery of enterprise-scale Azure data science, AI, and cloud modernization programs across multiple teams and client environments.
Oversee and mentor managers, architects, and engineering teams, fostering a culture of collaboration, accountability, continuous learning, and high performance.
Define modernization frameworks, reference architectures, governance standards, and scalable delivery models that support security, reliability, observability, and long-term maintainability.
Translate business objectives into technical roadmaps and actionable delivery strategies, balancing innovation, scalability, performance, and operational efficiency.
Guide major technical decisions involving machine learning, MLOps, data engineering, analytics, AI-enabled capabilities, and cloud platform architecture.
Collaborate with executive stakeholders, business leaders, and delivery teams to communicate modernization strategies, risks, trade-offs, and measurable outcomes.
Promote engineering best practices including CI/CD, automation, modular architecture, AI-assisted development, and quality assurance across large distributed programs.
Support strategic growth initiatives by contributing to client pursuits, solution proposals, technical estimates, reusable accelerators, and long-term account expansion opportunities.
Develop reusable frameworks, playbooks, and mentoring assets that improve delivery consistency, accelerate onboarding, and scale organizational capabilities.

Requirements:

12+ years of experience delivering enterprise technology solutions within cloud engineering, application development, DevOps, data engineering, analytics, or related technical domains.
7+ years of experience leading architecture initiatives, engineering teams, or multi-workstream delivery programs at enterprise scale.
Strong expertise in data science, machine learning, MLOps, predictive analytics, and Azure-based data platforms such as Azure ML, Synapse, Databricks, Fabric, and Spark.
Proven experience designing and implementing scalable cloud modernization, AI transformation, and enterprise data architecture solutions.
Deep understanding of modern data engineering, governance, observability, automation, and Agile delivery practices within distributed environments.
Experience integrating AI and machine learning capabilities into enterprise solutions, including generative AI, RAG pipelines, AI orchestration frameworks, and AI-assisted development tools.
Strong leadership, mentoring, stakeholder management, and executive communication skills, with the ability to influence both technical and business audiences.
Experience managing hybrid or remote teams across multiple time zones while maintaining alignment, delivery quality, and team engagement.
Proficiency with modern engineering and collaboration tools including GitHub, CI/CD pipelines, and cloud-native development workflows.
Consulting or professional services experience with client-facing leadership responsibilities is strongly preferred.
Relevant Azure, Databricks, AI, or cloud architecture certifications are highly desirable.
Candidates must be authorized to work in the United States without current or future visa sponsorship.

Benefits:

Competitive base salary ranging from $168,400 to $252,600 USD, depending on experience and location.
Annual discretionary and/or utilization-based bonus opportunities.
Fully remote, virtual-first work environment with flexible work location options.
401(k) plan with company match up to 50% of eligible contributions.
Generous paid time off policy, including company holidays and floating personal days.
Comprehensive medical, dental, and vision coverage options.
100% employer-paid life and disability insurance.
Paid parental leave for birth and non-birth parents.
Healthcare FSA, HSA, and dependent care FSA options.
Monthly technology and home office allowance.
Employee Assistance Program and wellness support resources.
Strong culture focused on growth, inclusion, innovation, and continuous professional development.

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.

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Director- Data Science in United States at Jobgether

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