Manager, Data & Intelligence

Overview

Great Day Improvements - Manager, Data & Intelligence (Remote, USA)

The Manager, Data & Intelligence is a hands‑on leadership role responsible for overseeing both the Business Intelligence (BI) and Data Engineering teams. Reporting to the Director, Data & Intelligence, this role serves as a critical force multiplier, driving BI modernization, supporting data engineering work streams tied to AI initiatives, and providing day‑to‑day people management across a mid‑sized team of 6 to 10 analysts and engineers.

A central focus of this role is leading the transition to a Databricks Apps‑forward BI platform, where AI‑assisted programming accelerates the development of high‑quality, self‑service dashboards. The ideal candidate will bring deep marketing domain expertise, ideally honed at a Big 4 consulting firm, and the ability to translate complex marketing analytics needs into scalable, governed BI solutions.

This person will also serve on the company’s Data Governance panel and act as the primary point of contact for business stakeholders on BI‑related initiatives, balancing strategic thinking with operational execution.

Salary Range: $140,

This salary range represents a good faith estimate of the compensation for this position. Actual compensation may vary based on education, experience, knowledge, skills, abilities, internal equity, and alignment with market data

• Lead the migration from legacy BI tools (Tableau Cloud, Power BI) to a Databricks Apps‑centered platform for dashboard development and analytics delivery
• Champion AI‑assisted development practices within the BI team, enabling faster iteration, higher‑quality output, and reduced time‑to‑insight
• Define standards for dashboard design, data visualization, and semantic layer governance within the Databricks ecosystem
• Evaluate and integrate emerging AI‑assisted development tools and workflows to continuously improve BI delivery speed and quality

• Directly manage, mentor, and develop a team of 6 to 10 data analysts and data engineers supporting multiple business units
• Set clear priorities, assign projects, conduct performance reviews, and foster a collaborative, growth‑oriented team culture
• Serve as a working manager, willing to build dashboards, write queries, and troubleshoot alongside the team when needed
• Identify skill gaps and drive professional development plans, particularly around Databricks, AI‑assisted tooling, and modern data engineering practices

• Oversee the data engineering team’s work streams, ensuring data pipelines, ingestion processes, and transformations are reliable, performant, and well‑documented
• Coordinate data engineering tasks related to the company’s AI initiatives, partnering with the Director to prioritize and sequence work effectively
• Ensure data engineering deliverables meet quality, security, and governance standards required by downstream BI and AI consumers

• Serve as the primary liaison between business stakeholders and the Data & Intelligence team for all BI initiatives
• Lead regular stakeholder meetings to intake requests, prioritize the backlog, align on reporting goals, and manage competing demands
• Bring strong marketing domain knowledge to the role, translating marketing KPIs, attribution models, and campaign performance needs into actionable BI solutions
• Communicate complex data insights and project updates clearly and persuasively to both technical and non‑technical audiences, including executive leadership

• Sit on the company’s Data Governance panel, contributing to policies around data quality, metadata management, data classification, and access controls
• Establish and enforce BI‑specific governance standards including report certification, naming conventions, and semantic layer definitions
• Collaborate with data engineering and IT to ensure governance frameworks are operationalized across the analytics ecosystem

• Bachelor’s degree in Business Analytics, Data Science, Information…