Director, Business Intelligence

AvePoint, Inc.; New York (NY); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Competitive market-based compensation

Career progression and internalMobIliy

Unlimited PTO

Job summary

AvePoint, the unifying Trust Layer for AI, is seeking a Director of Business Intelligence to lead the global production BI operating model and deliver trusted, scalable reporting experiences. You will own production Power BI and semantic model standards, drive governance, and partner with Analytics and Data Engineering to industrialize data products across the enterprise.

As a strategic leader, you will manage cross-region teams, establish standards for QA, CI/CD, and release management, and

Qualifications

• Significant experience leading Business Intelligence, enterprise reporting, semantic modeling, analytics engineering, or a closely related function in a complex organization.
• Proven people leadership experience managing and developing technical BI teams; experience leading across regions, time zones, or distributed delivery models strongly preferred.
• Deep expertise with Microsoft Power BI and modern semantic model architecture; experience with Microsoft Fabric, Direct Lake, OneLake, deployment pipelines, AI-enabled analytics, or comparable cloud data platforms strongly preferred.
• Strong understanding of dimensional and semantic modeling, DAX, SQL, performance optimization, RLS/security, report architecture, governed self-service, and production support practices.
• Experience establishing BI engineering standards, QA and regression testing, CI/CD or release management, monitoring, documentation, and report lifecycle governance.
• Ability to distinguish enterprise metric governance and data-product ownership from BI production responsibilities, and to partner effectively with Analytics and Data Engineering without duplicating accountability.
• Demonstrated success managing intake, prioritization, workload balancing, stakeholder expectations, and a portfolio of production BI assets based on business value and capacity.
• Experience rationalizing legacy reports or semantic models and migrating users toward governed, reusable enterprise data products while maintaining business continuity.
• Experience with controlled or audit-sensitive reporting, including SOX-related processes, data quality controls, ownership documentation, or similar governance requirements preferred.
• Strong communication, technical judgment, and change-management skills, with the ability to review architecture, coach engineers, explain tradeoffs, lead through influence, and build durable partnerships across Analytics, Engineering, Finance, RevOps, Product, and other business functions.

Responsibilities

• Own the global BI strategy, operating model, service catalog, roadmap, and delivery standards for production reporting and semantic model deployment.
• Lead BI intake, prioritization, assignment, capacity planning, and delivery coordination; group demand into business themes and provide transparent status, dependencies, and business value to Analytics and executive stakeholders.
• Establish clear handoff criteria from Analytics prototypes and governed data products into BI production, including certification, QA, documentation, regression testing, release management, support, and retirement.
• Own production Power BI and semantic model engineering standards, including model performance, Direct Lake patterns, security, RLS, refresh reliability, QA, release controls, monitoring, SOX/controlled reporting requirements, and production support.
• Partner with Analytics to consume approved enterprise metrics and Gold data products without recreating or redefining business logic inside reports; elevate gaps in definitions, lineage, source quality, or data contracts.
• Build a domain-aligned BI delivery model across priority AvePoint 360 domains, with dedicated or clearly aligned BI engineering capacity for Customer/Sales/Partner, Commercial Growth, Product, and People data products as demand matures.
• Design and lead a global resourcing model that effectively uses existing teams and locations, including shared delivery partnerships, follow-the-sun support, and selective hiring where additional capacity or business proximity is required.
• Develop BI engineers and emerging leaders through coaching, technical standards, clear ownership, and rotational domain assignments that broaden business context while reducing key-person dependency.
• Drive report and semantic model rationalization by maintaining production inventory, eliminating duplicate logic, retiring legacy assets after validated migration, improving reuse, and tracking operating measures such as ownership clarity, incidents, cycle time, adoption, and recovered Analytics capacity.
• Partner with Analytics on AI and self-service readiness by ensuring production semantic models, metadata, security, documentation, and reporting outputs are trustworthy and reusable by both people and Data Agents.

Skills

BI leadership

Power BI

Semantic modeling

DAX

SQL

RLS security

QA testing

CI/CD

Stakeholder management

SOX reporting

Tools

Power BI

Microsoft Fabric

Direct Lake

OneLake

Deployment pipelines

Job description

AvePoint is the unifying Trust Layer for AI. AvePoint enables more than 28,000 organizations and 6,000 channel partners to protect, secure, and govern their entire AI estate across data, infrastructure, AI and agents for Microsoft, Google, Salesforce, and other leading cloud environments — so that enterprises can deploy AI with confidence and scale innovation without scaling risk. To learn more, visit www.avepoint.com .

Overview

AvePoint is seeking a Director, Business Intelligence to lead the global production BI operating model and turn governed enterprise data products into trusted, scalable reporting experiences. This role is accountable for how certified semantic models, Power BI solutions, controlled reporting, and production support are industrialized across the business - with clear standards for quality, release management, lifecycle ownership, and service delivery.

The Director, Business Intelligence will partner closely with Analytics and Data Engineering, which own business partnership, enterprise metric governance, Gold data products, advanced insights, and the underlying data platform. BI will consume those governed foundations and make them production‑ready for leaders and teams across Sales, Marketing, Customer Success, Finance, Product, People, and Operations. The ideal leader combines strong technical BI judgment with disciplined people management, global delivery leadership, and the ability to build a high‑leverage operating model that scales through standards, reusable models, domain alignment, and AI‑ready consumption.

Key Responsibilities

• Own the global BI strategy, operating model, service catalog, roadmap, and delivery standards for production reporting and semantic model deployment.
• Lead BI intake, prioritization, assignment, capacity planning, and delivery coordination; group demand into business themes and provide transparent status, dependencies, and business value to Analytics and executive stakeholders.
• Establish clear handoff criteria from Analytics prototypes and governed data products into BI production, including certification, QA, documentation, regression testing, release management, support, and retirement.
• Own production Power BI and semantic model engineering standards, including model performance, Direct Lake patterns, security, RLS, refresh reliability, QA, release controls, monitoring, SOX/controlled reporting requirements, and production support.
• Partner with Analytics to consume approved enterprise metrics and Gold data products without recreating or redefining business logic inside reports; elevate gaps in definitions, lineage, source quality, or data contracts.
• Build a domain‑aligned BI delivery model across priority AvePoint 360 domains, with dedicated or clearly aligned BI engineering capacity for Customer/Sales/Partner, Commercial Growth, Product, and People data products as demand matures.
• Design and lead a global resourcing model that effectively uses existing teams and locations, including shared delivery partnerships, follow‑the‑sun support, and selective hiring where additional capacity or business proximity is required.
• Develop BI engineers and emerging leaders through coaching, technical standards, clear ownership, and rotational domain assignments that broaden business context while reducing key‑person dependency.
• Drive report and semantic model rationalization by maintaining production inventory, eliminating duplicate logic, retiring legacy assets after validated migration, improving reuse, and tracking operating measures such as ownership clarity, incidents, cycle time, adoption, and recovered Analytics capacity.
• Partner with Analytics on AI and self‑service readiness by ensuring production semantic models, metadata, security, documentation, and reporting outputs are trustworthy and reusable by both people and Data Agents.

Qualifications

• Significant experience leading Business Intelligence, enterprise reporting, semantic modeling, analytics engineering, or a closely related function in a complex organization.
• Proven people leadership experience managing and developing technical BI teams; experience leading across regions, time zones, or distributed delivery models strongly preferred.
• Deep expertise with Microsoft Power BI and modern semantic model architecture; experience with Microsoft Fabric, Direct Lake, OneLake, deployment pipelines, AI‑enabled analytics, or comparable cloud data platforms strongly preferred.
• Strong understanding of dimensional and semantic modeling, DAX, SQL, performance optimization, RLS/security, report architecture, governed self‑service, and production support practices.
• Experience establishing BI engineering standards, QA and regression testing, CI/CD or release management, monitoring, documentation, and report lifecycle governance.
• Ability to distinguish enterprise metric governance and data‑product ownership from BI production responsibilities, and to partner effectively with Analytics and Data Engineering without duplicating accountability.
• Demonstrated success managing intake, prioritization, workload balancing, stakeholder expectations, and a portfolio of production BI assets based on business value and capacity.
• Experience rationalizing legacy reports or semantic models and migrating users toward governed, reusable enterprise data products while maintaining business continuity.
• Experience with controlled or audit‑sensitive reporting, including SOX‑related processes, data quality controls, ownership documentation, or similar governance requirements preferred.
• Strong communication, technical judgment, and change‑management skills, with the ability to review architecture, coach engineers, explain tradeoffs, lead through influence, and build durable partnerships across Analytics, Engineering, Finance, RevOps, Product, and other business functions.

Benefits we offer

• Competitive market‑based compensation
• Career progression and internal mobility opportunities across our global footprint in North America, EMEA, and APAC
• Unlimited PTO

The Salary Range for this role is $150,000 - $200,000. At AvePoint, we strive to offer competitive, fair, and equitable total rewards. The listed salary reference represents a market midpoint for initial planning, with final offers based on location, experience, skills, and qualifications. The listed figure reflects base salary only; our total rewards include base salary, comprehensive benefits (medical, dental, vision, 401(k) with match, unlimited PTO), and depending on the role, bonuses, commissions, or equity (RSUs). We welcome compensation discussions, apply even if your expectations fall outside the listed figure.

Any personal data you share with us during the application process will be processed strictly in compliance with applicable data protection laws and our Privacy Notice .

Voluntary Self‑Identification

For government reporting purposes, we ask candidates to respond to the below self‑identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.

As set forth in AvePoint’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service‑connected disability.

A "recently separated veteran" means any veteran during the three‑year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.