Technical Lead AI/ML & Data Platforms

Job Title: Technical Lead AI/ML & Data Platforms
Location: Sunnyvale, CA(Hybrid)
Duration: Long term

Job Overview:

We are seeking a Technical Lead with strong managerial capabilities to drive the design, delivery, and optimization of AI/ML and data platform initiatives. The ideal candidate will coordinate multiple workstreams, lead cross-functional teams, and ensure high-quality, timely execution while maintaining strategic alignment with business goals. This role combines hands-on technical expertise with project management skills.

Key Responsibilities:

Coordinate multiple workstreams simultaneously, ensuring timely delivery and adherence to quality standards.
Facilitate daily stand-ups and syncs across global time zones, maintaining visibility and accountability.
Understand business domains and technical architecture to enable informed decisions and proactive risk management.
Collaborate with data engineers, AI/ML scientists, analysts, and product teams to translate business goals into actionable plans.
Track project progress using Agile or hybrid methodologies, escalate blockers, and resolve dependencies.
Own task lifecycle from planning through execution, delivery, and retrospectives.
Perform technical reviews of data pipelines, ETL processes, and architecture, identifying quality or design gaps.
Evaluate and optimize data aggregation logic while ensuring alignment with business semantics.
Contribute to the design and development of RAG pipelines and workflows involving LLMs.
Create and maintain Tableau dashboards and reports aligned with business KPIs for stakeholders.
Mentor and guide team members, fostering knowledge sharing, collaboration, and skill development.

Required Skills:

Strong expertise in data pipelines, architecture, and analytics platforms (e.g., Snowflake, Tableau).
Experience reviewing and optimizing data transformations, aggregations, and business logic.
Hands-on familiarity with LLMs and practical RAG implementations.
Knowledge of AI/ML workflows, model lifecycle management, and experimentation frameworks.
Proven experience in managing complex, multi-track projects.
Skilled in project tracking and collaboration tools (Jira, Confluence, or equivalent).
Excellent communication and coordination skills with technical and non-technical stakeholders.
Experience working with cross-functional, globally distributed teams.

Additional Skills:

Exposure to cloud platforms (AWS) and modern DevOps practices.
Ability to create executive-level dashboards and summaries for leadership.
Strong analytical and problem-solving mindset.
Understanding of semantic layers for consistent business logic interpretation.