Director, Data Science & Cloud Transformation (Remote, US)

Jobgether • United States

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Lead enterprise-level data science, AI, and cloud transformation programs in a remote-first US environment. Guide multidisciplinary teams, shape Azure architectures, and influence executive stakeholders on technology strategy. Requires 12+ years of experience in cloud engineering/data science and 7+ years in solution architecture.

Key Highlights

High-impact leadership opportunity for a seasoned data and cloud expert.

Focus on enterprise-level modernization programs in data science, AI, ML, and cloud transformation.

Remote-first environment with a strong emphasis on collaboration, innovation, and continuous learning.

Key Responsibilities

Lead architecture strategy and execution for large-scale Azure modernization, AI, and data transformation programs across multiple teams and client environments.

Oversee and mentor managers, architects, and engineering teams, fostering a culture of collaboration, accountability, inclusion, and continuous improvement.

Develop scalable cloud, analytics, machine learning, and MLOps frameworks that support business goals, operational efficiency, and long-term maintainability.

Guide cross-functional discovery sessions, architecture reviews, governance processes, and technical decision-making across enterprise programs.

Drive adoption of AI-assisted engineering practices, automation strategies, CI/CD standards, and observability frameworks to improve delivery quality and speed.

Partner with executive stakeholders to define modernization roadmaps, align delivery priorities, and communicate technical strategies to both technical and non-technical audiences.

Support business growth through client relationship development, technical solution leadership, opportunity qualification, and proposal development.

Create reusable assets, reference architectures, playbooks, and accelerators that improve scalability, consistency, and delivery efficiency across teams.

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Technical Skills Required

Azure Data Science Machine Learning AI Azure ML Databricks Synapse Fabric Spark Power BI Generative AI Retrieval-Augmented Generation (RAG) Prompt Orchestration AI-assisted development workflows DevOps Cloud Engineering Software Development CI/CD Observability

Benefits & Perks

Fully remote, virtual-first work environment across the United States

Competitive base salary ranging from $168,400 to $252,600 USD

Annual discretionary and/or utilization bonus eligibility

401(k) plan with company matching contributions

Generous paid time off package including company holidays and floating personal days

Multiple medical plan options plus dental and vision coverage

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 for personal and professional support

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Nice to Have

Relevant Azure, Databricks, AI, or cloud architecture certifications are strongly preferred.

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field preferred.

Job Description

This is a high-impact leadership opportunity for a seasoned data and cloud expert who thrives at the intersection of strategy, innovation, and large-scale technical delivery. In this role, you will guide enterprise-level modernization programs focused on data science, AI, machine learning, and cloud transformation across complex environments. You will lead multidisciplinary teams, shape scalable Azure-based architectures, and influence executive stakeholders on technology strategy and digital transformation initiatives. The position offers a highly collaborative and remote-first environment where experimentation, continuous learning, and leadership development are strongly encouraged. You’ll play a central role in driving AI-enabled innovation, operational excellence, and reusable engineering practices while mentoring future technical leaders. This opportunity is ideal for someone passionate about building modern cloud ecosystems and delivering measurable business value through data-driven solutions.

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