Director- Applied AI & Machine Learning
New
3
3CloudData & AI
Remote - USFull-TimeDirector
Salary$168,400 - $252,600 USD
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Job Details
- Experience
- 10+ years
- Required Skills
- Machine LearningAzureData scienceDatabricks
Requirements
- 10+ years of experience in Data Science, AI, Data, or Analytics roles, with significant exposure to enterprise client environments.
- Proven experience leading pre-sales or client-facing technical engagements, including discovery, solution design, and executive presentations.
- Deep hands-on expertise with Microsoft Data & AI in at least one of Azure Data Services, Azure AI, Synapse/Fabric, Databricks on Azure.
- Strong ability to translate complex technical capabilities into clear business value narratives that resonate with technical and non-technical stakeholders.
- Demonstrated 1M$+ deal success partnering with sales and account teams to influence pipeline progression and close deals.
- Executive presence with experience owning the C-suite engagement and lead the partnership with senior leaders as a trusted technical advisor.
- Strong architectural mindset with the ability to design end-to-end Data & AI solutions aligned to client objectives, security, and governance needs.
- Excellent communication skills, including whiteboarding, storytelling, and formal presentations.
- Ability to work in a fast-paced environment.
Responsibilities
- Set direction as a technical evangelist and trusted advisor for clients, shaping early-stage AI and ML conversations into compelling solution visions built on the Microsoft platform.
- Partner closely with sales and account teams to drive opportunity qualification, solution strategy, and deal closure for AI and ML engagements.
- Take ownership of technical discoveries with clients to understand business priorities, decision criteria, and value drivers, translating them into winning Data & AI architectures.
- Be accountable for the design and present AI and ML solutions that clearly articulate business outcomes, technical feasibility, and ROI.
- Provide executive-level technical depth in Azure with depth in agentic architectures, machine learning, or AI to influence client stakeholders from practitioner to C-level.
- Own end-to-end technical credibility throughout the sales cycle, including whiteboarding sessions, architecture reviews, proposals, and executive presentations.
- Guide and mentor architects and data scientists to ensure solution consistency, technical excellence, and alignment with go-to-market strategy.
- Ensure proposed solutions align with Microsoft best practices, security standards, and regulatory requirements.
- Lead the strategy and execution of relevant platform accelerators, reference architectures, and delivery playbooks.
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