Sr. Manager, Data & Analytics
Core
Lead the end-to-end data platform (ingestion, transformation, analytics layers) and power decision-making across the company while championing an AI-first approach.
Role type
Senior Manager, Data & Analytics Engineering
Builds
Modern data stack, scalable data pipelines, self-serve data solutions, and foundational AI/ML infrastructure (feature stores, vector stores).
Domain
Technology / Data Engineering & Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data engineering, Analytics engineering, Team leadership, Multi-year strategy definition, Stakeholder management, Data governance, Vendor evaluation, AI/LLM tooling integration, SQL, Python
Preferred skills
Semantic layer design, Streaming data processing, Data mesh models, Data observability, NL-to-SQL prototyping
Technologies
Snowflake, BigQuery, Databricks, dbt, Airflow, Dagster, Prefect, Kafka, Flink, Kinesis, Cursor, GitHub Copilot, Claude, MetricFlow, Cube, Atlan, Datahub
Responsibilities
Define and own the multi-year roadmap for the data platform; Lead and grow the Data and Analytics team; Architect and oversee scalable data pipelines; Champion best practices in analytics engineering; Partner with business stakeholders to deliver self-serve data solutions; Ensure data platform reliability and governance; Drive vendor and tool evaluations for the modern data stack.
Seniority
Senior, hands-on IC with leadership responsibilities
