Remote Analytics Leader: AI-Powered Data & Product Strategy

Harnham

Nashville (TN)

On-site

USD 141,000 - 235,000

Full time

7 days ago
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Benefits offered by this job

Medical, Dental, and Vision Insurance
Employee rewards program
Total Rewards Package with wellness &

Job summary

Harnham is seeking a senior analytics leader to own internal analytics and customer-facing data products. You will drive the analytics strategy, set the technical roadmap, and lead modernization while remaining hands-on with SQL in Snowflake and Looker modeling.

The role collaborates closely with Product and Executive Leadership to shape AI-powered analytics initiatives. The candidate will manage a team, influence architectural decisions, and evolve reporting capabilities for SaaS analytics

Qualifications

  • Over a decade of experience spanning software, analytics engineering, and leadership.
  • Experience leading large teams (10+) and collaborating with executive stakeholders.
  • Exposure to AI-powered analytics solutions and SaaS platforms.

Responsibilities

  • Define analytics strategy and set the technical roadmap.
  • Lead architecture discussions and modernization efforts.
  • Partner with Product and Executive Leadership; drive cross-functional alignment.
  • Run SQL in Snowflake and develop Looker models.
  • Participate in technical discovery and guide engineering decisions.
  • Evolve legacy reports while delivering new analytics products.

Skills

Data modeling
Semantic layer modeling
Medallion architecture
Leadership
Engineering leadership
AI initiatives

Tools

Looker
Power BI
SQL
Snowflake

Job description

Harnham is seeking a senior analytics leader to own internal analytics and customer-facing data products. You will drive the analytics strategy, set the technical roadmap, and lead modernization while remaining hands-on with SQL in Snowflake and Looker modeling.

The role collaborates closely with Product and Executive Leadership to shape AI-powered analytics initiatives. The candidate will manage a team, influence architectural decisions, and evolve reporting capabilities for SaaS analytics

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