KDR Talent SolutionsRemote
Director of Data Engineering & AI
United States of America
Full Time
1 hour ago
$200,000 - $250,000 USD
Visa Sponsor
Key skills
Data EngineeringArtificial IntelligenceGenerative AIDatabricksSnowflakeGoogle Cloud PlatformEnterprise-scale Data PlatformsMachine LearningAI-focused Data ArchitectureReal-time Data PipelinesFeature EngineeringVector DatabasesSemantic SearchUnstructured Data ProcessingCloud-native Data EngineeringAmazon Web ServicesMicrosoft AzureMLOpsLLMOpsData GovernanceEnterprise AI OperationalizationHealthcare IndustryBanking IndustryInsurance IndustryUtilities IndustryPrivate Equity IndustryClient Relationship ManagementBusiness DevelopmentExecutive Stakeholder ManagementAIRAGAgenticAnalyticsAWSAzureGCP
About this role
KDR Talent Solutions is a leading business and technology consultancy that helps enterprise organizations modernize their data, analytics, and AI capabilities. They are seeking a Director of Data Engineering & AI to lead client engagements, drive business development, and shape the future direction of their AI-enabled data engineering practice.
Responsibilities:
- Leading enterprise data modernization and AI transformation engagements across multiple industries
- Driving business development activities, including opportunity creation, proposal development, and client relationship management
- Architecting modern data platforms that support AI, machine learning, and Generative AI use cases
- Advising clients on data governance, data quality, AI infrastructure readiness, and cloud transformation strategies
- Building AI-enabled data engineering capabilities, frameworks, accelerators, and reusable assets
- Driving innovation around emerging technologies including RAG, agentic workflows, vector databases, and AI orchestration frameworks
- Leading multidisciplinary consulting teams while maintaining strong executive-level client relationships
- Managing project delivery, financial performance, and overall engagement success
Requirements:
- 10+ years of client-facing consulting experience across technology, data, and analytics engagements
- Deep expertise in Databricks, Snowflake, GCP, or similar modern data platform technologies
- Experience designing and delivering enterprise-scale data platforms that support AI and machine learning workloads
- Strong understanding of AI-focused data architecture, including real-time data pipelines, feature engineering, vector databases, semantic search, and unstructured data processing
- Experience delivering cloud-native data engineering solutions across AWS, Azure, and/or GCP environments
- Familiarity with MLOps, LLMOps, data governance, observability, and enterprise AI operationalization
- Demonstrated success developing client relationships and generating new consulting opportunities
- Experience leading complex consulting engagements and managing executive stakeholder relationships
- Industry expertise within Healthcare, Banking, Insurance, Utilities, Private Equity, or related sectors is highly desirable