VP, Data Engineering

present of AI; New York (NY); On-site; USD 180,000 - 230,000; Full time

Job summary

present of AI seeks a senior data leader to own the data lifecycle for its AI-driven finance and consumer goods reports. You will set metrics, govern definitions, and defend data choices to leadership while still writing SQL and shaping the team's work.

You will build and scale the data foundation, collaborate with stakeholders, and guide a small team through ingestion, modeling, and delivery of trusted dashboards and customer reports.

Qualifications

• Experience leading data function end to end and delivering trusted data for reporting.
• Hands-on SQL and data modeling to build reliable pipelines.
• Experience building or leading a data team from scratch.

Responsibilities

• Own data lifecycle from ingestion to dashboards and reports.
• Define metric definitions, standards, and governance.
• Collaborate with leadership to defend trade-offs and data quality.

Skills

End-to-end data ownership

SQL

Data modeling

Data governance

Team leadership

Tools

Snowflake

dbt

Airflow

Job description

This role owns data from start to finish: how it comes in, how it is stored and modeled, and how it reaches internal dashboards and customer reports. A strong candidate has run a data function end to end before, built it up from an early or messy state, hired and led a team, and can still write SQL and review work while the team is small. Turning a vague ask for better data into a clear plan and defending the trade-offs to leadership matters as much as the technical calls.

How it fits the AI era

The product is an AI system for finance work in consumer goods, so clean, well defined data is the base everything else rests on. AI can speed up pipeline building and flag odd numbers, but someone still has to set the metric definitions, decide what is worth building, and answer when a number is wrong. The role stays human at the level of judgment, standards, and ownership.

How it builds AI experience

Working here means building the data foundation that feeds AI driven finance and trade reporting for consumer brands, which teaches how models and reports depend on reliable pipelines and shared definitions. A candidate can prepare by getting hands on with warehouse, orchestration, and modeling tools and by owning data quality and governance in practice. Experience making numbers trustworthy for customer facing reports is the most direct proof.

Worth showing

• End to end data ownership
• Built data team from scratch
• Snowflake dbt Airflow
• Metric definitions and governance
• Hands on SQL and modeling

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Confido

An AI platform that automates the finance, trade promotion and back-office work of consumer packaged goods brands, so their finance teams spend less time chasing deductions and spreadsheets.