Director- Data Science at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

18 Aug, 26

Salary

252600.0

Posted On

20 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, Azure Cloud Services, Solution Architecture, MLOps, Generative AI, RAG, Stakeholder Management, Agile Delivery, Cloud Modernization, Databricks, Azure Synapse, Azure Fabric, Spark, Power BI, DevOps

Industry

Internet Marketplace Platforms

Description

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 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. \n Accountabilities: 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. Requirements: 12+ years of experience delivering enterprise technology solutions within cloud engineering, software development, DevOps, or data and analytics environments. 7+ years of experience in solution architecture and technical leadership across multi-team or enterprise-scale programs. Strong expertise in data science, machine learning, Azure cloud services, and modern data platforms including Azure ML, Databricks, Synapse, Fabric, Spark, and Power BI. Deep understanding of AI technologies including generative AI, retrieval-augmented generation (RAG), prompt orchestration, and AI-assisted development workflows. Proven experience designing scalable data architectures, governance models, automation strategies, and enterprise-grade cloud modernization solutions. Strong consulting and stakeholder management skills with the ability to influence executives, communicate complex concepts clearly, and drive strategic outcomes. Experience leading remote or distributed teams while maintaining alignment, engagement, and delivery excellence across time zones. Strong background in Agile delivery practices, architectural governance, quality engineering, and enterprise-scale delivery management. 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. Benefits: 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 Strong culture focused on mentorship, innovation, diversity, and continuous learning. \n 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. #LI-CL1

Responsibilities

Lead the architecture strategy and execution for large-scale Azure modernization, AI, and data transformation programs. Oversee multidisciplinary teams and partner with executive stakeholders to define modernization roadmaps and drive AI-enabled innovation.