Smartsheet

Director,AnalyticsEngineering&BIPlatform

$224–261k Bellevue, Washington, United States; United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Director candidates.

The Brief

“Director, Analytics Engineering & BI Platform at Smartsheet. Skills: Analytics Engineering, BI Platform Strategy, Data Governance, Cloud Data Platforms. Lead analytics engineering strategy. Own core data models”

What You'll Achieve.

Achieve anything; Automate the manual; Uncover insights; Scale smarter; Unlock work that matters; Provide trusted access; Provide actionable insights; Power data-driven decisions; Ensure data assets are trusted; Ensure data assets are discoverable; Ensure data assets are AI-ready; Ensure critical business metrics have single definition; Ensure metrics are version-controlled; Ensure metrics are trusted; Ensure metrics are consumable by downstream tools; Ensure metrics are consumable by AI agents; Meet existing analytics needs; Meet future analytics needs; Meet demands of maturing data platform

Industry & Context.

Problems you'll solve

Uncover insights; Data-driven decisions

What They're Looking For.

Must Have

10+ years in analytics engineering, 5+ years of people management, Deep hands-on proficiency in SQL, Deep hands-on proficiency in Python, Deep hands-on proficiency in dbt, Experience on Databricks, Proven experience with Finance and Revenue analytics, Expert-level data modeling skills, Deep understanding of DataOps, Deep understanding of data reliability practices, Demonstrated ownership of data governance programs, Experience operating and managing data egress, Experience operating and managing reverse-ETL pipelines, Experience leading cloud data platform migrations, program management instincts, Experience in a SaaS organization, familiarity with microservices-based product architectures

Nice to Have

Familiarity with Snowflake, Familiarity with AI/ML-adjacent data requirements, Conviction that data modeling is software engineering

What You'll Do.

Lead analytics engineering strategy

Own company-wide semantic layer

Drive Finance Analytics

Set data governance standards

Own data egress strategy

Own reverse-ETL strategy

Shape AI data strategy

Lead cross-functional strategic programs

Develop cross-team relationships

Build and lead a team

Manage vendor relationships

Evolve team capabilities

How You'll Work.

Team & Collaboration

Partnering closely with Finance; Partnering closely with RevOps; Partnering closely with Product; Partnering closely with Engineering; Partner with Finance stakeholders; Partner with RevOps stakeholders; Ensure meeting analytics needs; Develop cross-team relationships; Collaborate with BI partners

Communication Scope

Translate technical complexity into clear narratives

Process & Methodology

Program management instincts, Navigate complex initiatives, Translate technical complexity

Full Job Description

For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday. The Business Intelligence team exists to unlock the power of data — providing trusted access, actionable insights, and the platforms that power data-driven decisions across the company. We are looking for a seasoned analytics engineering leader to drive the next chapter of our data platform, governance, and intelligence capabilities. The ideal candidate combines deep technical expertise in modern analytics engineering with a strong command of financial and revenue analytics, and a passion for data quality and governance. This role sits at the intersection of analytics engineering, finance data ownership, and platform strategy — partnering closely with Finance, RevOps, Product, and Engineering to ensure our data assets are trusted, discoverable, and AI-ready. You will report to the VP of Data Science and Business Intelligence located in our Bellevue, WA office, or you may work remotely from anywhere in the US where Smartsheet is a registered employer. You Will: Lead analytics engineering strategy and execution, owning the design and evolution of core data models using modern practices — Data Vault, dimensional modeling, dbt on Snowflake — with a clear roadmap toward a Databricks lakehouse architecture. Own the company-wide semantic layer and metrics store, ensuring Bookings, ARR, NDRR, and other critical business metrics have a single, version-controlled, trusted definition consumable by every downstream tool and AI agent. Drive Finance Analytics,

Free ATS check

Applying for this Director, Analytics Engineering & BI Platform role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Greenhouse

  • Create a Greenhouse profile before applying — it saves time across multiple applications.
  • Upload your resume as a PDF; the parser handles it better than Word.
  • Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
  • Enable email notifications to track application status in real time.

ANONYMOUS · UNFILTERED

What do employees actually say about Smartsheet?

Real rants from real employees. Read before you apply.

Read Company Rants →