At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge, and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.
We are seeking a Director, Real-Time Analytics to define and drive Teradata’s strategy, architecture, and execution for real-time analytics and decisioning capabilities across the Vantage platform.
This is a high-impact individual contributor role at the intersection of streaming data, AI-driven insights, and enterprise-scale analytics. You will shape how customers ingest, process, and act on real-time data—enabling next-generation use cases such as fraud detection, personalization, IoT analytics, and operational intelligence.
Success in this role means establishing Teradata as an industry leader in real-time analytics, advancing adoption of low-latency data pipelines, and helping customers operationalize AI at scale for real-time decisioning. You will serve as a technical thought leader and strategic partner across Product, Engineering, Architecture, and customer-facing teams, influencing the direction of the platform without direct people management responsibilities.
- Define the multi-year vision and roadmap for real-time analytics across Teradata Vantage, aligning with AI, data platform, and cloud strategies
- Drive innovation in streaming architectures, event-driven processing, and low-latency decisioning systems
- Identify emerging technologies and market opportunities to strengthen Teradata’s leadership in real-time analytics and AI-powered decisioning
- Lead the design and evolution of scalable real-time analytics frameworks integrating streaming ingestion, processing, and analytics layers
- Ensure architectural consistency across batch and real-time workloads within the Teradata platform
- Drive performance optimization for high-throughput, low-latency analytics use cases at enterprise scale
- Develop reference architectures, best practices, and technical guidance for internal teams and customers
- Partner closely with Product Management and Engineering teams to deliver real-time analytics capabilities embedded within Teradata solutions
- Translate customer and business requirements into scalable platform capabilities
- Influence technical priorities and drive alignment across complex cross-functional initiatives
- Support product strategy through technical expertise, market insights, and customer engagement
- Act as a trusted technical advisor to key enterprise customers on real-time analytics adoption and modernization strategies
- Represent Teradata at customer engagements, industry conferences, analyst briefings, and partner events
- Contribute to thought leadership through presentations, white papers, technical content, and industry participation
- Help shape market positioning and competitive differentiation for Teradata’s real-time analytics capabilities
You will collaborate closely with:
- Engineering, Product, and Architecture teams across the Core Platform organization
- AI/ML and Data Science teams driving advanced analytics capabilities
- Cloud platform and partner ecosystem stakeholders
- Global enterprise customers and strategic partners
You will operate at the intersection of product strategy, technical architecture, and customer engagement, helping shape both internal platform direction and external adoption.
- Proven experience designing and delivering large-scale real-time analytics, streaming, or event-driven platforms
- Deep expertise in distributed systems, cloud-native data architectures, and analytics platforms
- Demonstrated ability to define and execute technology strategy at enterprise scale
- Strong track record of influencing cross-functional technical teams and driving outcomes without direct authority
- Foundational understanding of how AI/ML integrates with real-time analytics systems
- Experience collaborating with senior technical and business stakeholders to deliver strategic initiatives
- Experience with streaming technologies such as Kafka, Flink, Spark Streaming, or similar platforms
- Background in real-time decisioning systems (fraud detection, personalization, IoT analytics, operational intelligence, etc.)
- Expertise in hybrid and multi-cloud architectures
- Strong communication and presentation skills with the ability to influence senior stakeholders, customers, and partners
- Experience serving as a technical evangelist, architect, or domain expert for complex data platforms
- Passion for innovation in AI-driven analytics and modern data architectures
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