Description
The Director of AI Solutions & Integration leads the team that brings advanced analytics and AI capabilities into the heart of SPDJI's data operations.
Responsibilities and Impact:
- Own and drive the AI solutions enablement strategy for SPDJI, defining how value streams design, build, and scale AI applications that deliver measurable business value.
- Establish reference architectures and standards for GenAI/LLM solutions.
- Define and implement enablement programs for GenAI, LLM, and agent-based solutions across the organization.
- Contribute to the broader Data AI & Enablement strategy.
- Represent SPDJI Data at enterprise AI forums.
AI Roadmap & Strategic Planning:
- Partner with PPD and value stream leadership to shape the AI roadmap.
- Collaborate with stakeholders to identify high-value AI opportunities.
- Balance innovation with pragmatism.
- Provide technical leadership on emerging AI technologies.
Delivery Through Enablement:
- Co-develop AI applications with value stream SMEs.
- Establish prompt engineering and evaluation practices.
- Oversee the design and implementation of end-to-end AI solutions.
Governance & Responsible AI:
- Partner closely with the Data & AI Governance team.
- Ensure all AI solutions are integrated with governed data.
- Establish and maintain frameworks for AI solution monitoring.
Production Readiness & IT Partnership:
- Ensure operational readiness for IT handover.
- Partner with IT to support QA processes.
- Establish quality gates and "definition of done" criteria.
Team Development & Capability Building:
- Lead, mentor, and develop a high-performing team.
- Develop team capability and reusable assets.
- Collaborate effectively with Data Integration & Workflows and Data Governance teams.
Shared Accountabilities:
- Collaborate on AI roadmap prioritization.
- Partner to ensure infrastructure readiness.
- Engage with value stream SMEs.
- Embed responsible AI controls.
Ownership:
- Own the technical strategy, standards, and execution approach for all AI and advanced analytics initiatives.
- Define and maintain reference architectures.
- Define and enforce the "definition of done" for production-ready AI solutions.
What Success Looks Like:
- Enable AI at Scale.
- Ensure Responsible AI.
- Accelerate AI Innovation.
- Drive Measurable Business Value.
Key Performance Indicators (KPIs):
- Business Value Realization.
- Production Stability.
- Time to Production.
The anticipated base salary range for this position is $149,031 to $228,996.