Data Scientist Technical Lead AI/ML & Data Platforms

Dice; Sunnyvale (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

A leading tech company is seeking a Data Scientist Technical Lead to oversee AI/ML projects and data platforms. This role involves coordinating teams and ensuring the optimization of data processes using Snowflake and Tableau. The ideal candidate will have over 12 years of experience, leading data-driven initiatives to enhance business outcomes. If you're an expert ready to make a significant impact with cutting-edge AI solutions, this is the opportunity for you.

Qualifications

• Strong grasp of data pipelines, architecture, and analytics platforms necessary.
• Hands-on experience with Snowflake for data modeling and sharing.
• Proven ability to manage complex, multi-track AI projects.

Responsibilities

• Coordinate multiple workstreams ensuring timely delivery.
• Conduct daily stand-ups across global time zones.
• Collaborate with teams to translate goals into actionable plans.

Skills

Data pipelines

Data architecture

Analytics platforms

Project management

Communication

Education

12+ years of experience

Tools

Snowflake

Tableau

Jira

Confluence

Job description

Data Scientist Technical Lead AI/ML & Data Platforms

Need local consultant only + 12 years exp

Title: Data Scientist Technical Lead AI/ML & Data Platforms

Location: Sunnyvale, CA (Local candidates)

Experience: 12+ years

Skill Matrix Rating is needed for the below areas:

Skill Area

Specific Skill

Description

Rating / 10

Ability to review ETL processes and identify architectural or quality issues

Understand and optimize data aggregation logic and business semantics

Snowflake (Data Warehouse)

Hands-on experience with data modeling, performance tuning, and secure data sharing in Snowflake

Analytics & Reporting

Design and build interactive, insightful dashboards using Tableau

AI Foundations

AI Project Management

Experience leading and delivering AI projects from planning to production

Practical use or integration of Large Language Models.

RAG (Retrieval-Augmented Generation) Development

practical knowledge of RAG pipelines

Leadership & Oversight

Technical Review & Mentorship

Guide architecture, code reviews, and best practices for the engineering team

Key Responsibilities:

• Coordinate multiple workstreams in parallel, ensuring timely and high-quality delivery.
• Conduct and facilitate daily stand-ups across global time zones, maintaining visibility and accountability.
• Deeply understand business domains and the technical architecture, enabling informed decision-making and risk identification.
• Collaborate with data engineers, AI/ML scientists, analysts, and product teams to translate goals into actionable plans.
• Track progress using Agile or hybrid methodologies, escalating blockers and resolving dependencies.
• Own the lifecycle of tasks from planning through execution, delivery, and retrospectives.
• Perform technical reviews of data pipelines and ETL processes, identifying architectural or data quality issues.
• Evaluate and optimize data aggregation logic while ensuring alignment with business semantics.
• Contribute to the design and development of Retrieval-Augmented Generation (RAG) pipelines and workflows involving Large Language Models (LLMs).
• Ability to create Tableau reports and dashboards aligned with business KPIs.

Required Skills:

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

Additional Skills:

• Exposure to cloud platforms (AWS, Google Cloud Platform, Azure) and modern DevOps practices.
• Capable of creating executive-level dashboards and summaries.
• Strong analytical and problem-solving mindset.
• Understanding of semantic layers and their role in consistent business logic interpretation.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

• Dice Id: 91162303
• Position Id: 8677125

Posted 1 day ago

About Aventine Software

Aventine Software is a global integrator of technology business solutions that span the enterprise. Built on products and services from the world’s top technology companies, Aventine solutions are installed, configured and supported by our dedicated teams of highly certified experts.

Aventine acts a strategic partner to our clients. Our ability to have multi skilled, multi- talented professionals help our clients in areas of Digital Strategy, Innovation and design strategy and solutions to execute go-to market strategy and growth strategy.