Finance Analytics & AI Leader - Data Products & Automation

Snowflake; Menlo Park (CA); On-site; USD 200,000 - 263,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) plan

Flexible spending & health savings

Paid holidays

Parental leave

Employee assistance program

Job summary

Snowflake is seeking a Manager/Sr. Manager to lead Finance Analytics, building scalable data products, intelligent workflows, and AI-driven applications to transform Finance operations and decision making.

The role sits at the intersection of analytics engineering, data product development, and applied AI, requiring strong leadership, strategy, and hands‑on execution across cross‑functional teams.

Qualifications

• 8+ years of experience in analytics, data engineering, BI, or related fields.
• 2+ years in a people management role.
• Deep expertise in SQL and building scalable, production‑grade data models.
• Experience with modern cloud data platforms, such as Snowflake, BigQuery, or Redshift.
• Strong proficiency in Python, or similar programming languages, for data transformation, automation, or application development.
• Experience building data products, not just dashboards, including tools, apps, or workflows used in business operations.
• Demonstrated experience applying AI/LLMs, such as Cortex, OpenAI, Claude, or similar technologies, to real business problems.
• Strong stakeholder management and communication skills, with the ability to influence senior leaders.
• Experience supporting Finance organizations.

Responsibilities

• Set vision and lead execution for the Finance Analytics roadmap.
• Translate ambiguous business problems into scalable data products, AI solutions, and automation initiatives.
• Hire, develop, and mentor a team of analysts, analytics engineers, and data product builders.
• Establish best practices across data modeling, experimentation, and product development.
• Foster a culture of ownership, speed, and continuous learning.
• Oversee the design, development, and adoption of data products, dashboards, and internal applications used to run Finance.
• Ensure solutions are scalable, reliable, and deeply embedded in business workflows.
• Lead the development of intelligent workflows, such as automation, copilots, agents, and decision‑support tools.
• Identify high‑impact opportunities to apply AI and automation to core financial and operational processes.
• Partner with Data Engineering to ensure high‑quality, well‑modeled datasets.
• Establish standards for data quality, documentation, and discoverability.
• Deliver actionable insights and shape strategic decisions through data.
• Act as a thought partner to Finance leadership, bringing a data‑driven perspective.
• Identify inefficiencies and drive system‑and‑process‑level improvements.
• Implement scalable solutions over one‑off analyses.

Skills

SQL

Python

Data product development

AI/LLMs

Stakeholder management

Finance analytics

Tools

Snowflake

BigQuery

Redshift

Job description

Snowflake is seeking a Manager/Sr. Manager to lead Finance Analytics, building scalable data products, intelligent workflows, and AI-driven applications to transform Finance operations and decision making.

The role sits at the intersection of analytics engineering, data product development, and applied AI, requiring strong leadership, strategy, and hands‑on execution across cross‑functional teams.