Senior Director, Business Intelligence
New
J
JobgetherBusiness Intelligence
Fully remote position within the United States., distributed environment spanning multiple time zonesFull-TimeDirector
Salary205,000 - 222,000 USD per year
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Job Details
- Experience
- 12+ years
- Required Skills
- Artificial IntelligenceBusiness IntelligenceMachine LearningStakeholder managementSaaS
Requirements
- 12+ years of progressive experience in business intelligence, analytics, or business transformation, including significant enterprise or cross-functional experience.
- Demonstrated success setting organizational-level data and automation priorities.
- Proven ability to transform ambiguous, cross-functional business challenges into clear, buildable data and automation requirements.
- Experience operating as a senior strategic peer to Technology or Data Platform organizations, influencing strategy without owning engineering.
- Strong track record of identifying and delivering business process automation at scale, including applying AI or machine learning.
- Executive-level communication, stakeholder management, and influence skills.
- Ability to establish, communicate, and defend priorities with senior leadership.
- Familiarity with modern data platform concepts, including cloud data warehousing, self-service BI tools, and workflow automation.
- Ability to collaborate across multiple teams and time zones in a distributed work environment.
- Experience establishing or scaling an enterprise BI or analytics capability is preferred.
- Experience in post-merger or integration environments is a plus.
- Experience in healthcare technology, SaaS, or BPaaS is preferred.
Responsibilities
- Set enterprise priorities for operational reporting, dashboards, analytics, and automation, ensuring stakeholders have trusted, decision-ready information.
- Lead business intelligence and analytics initiatives that generate actionable insights for Operations, Product, and executive leadership.
- Identify and drive business process automation opportunities, including the practical application of AI and machine learning to improve efficiency.
- Translate ambiguous and complex business priorities into clear, actionable data and technology requirements for platform teams.
- Serve as the primary business-side partner to Data, Product, and Technology teams to own requirements definition and solution validation.
- Influence long-term data strategy by integrating operational priorities into platform and architecture planning.
- Build and maintain a prioritized roadmap of initiatives based on operational impact and business value.
- Represent business needs in technology governance and investment planning forums.
- Establish clear accountability between business-facing priorities and technical platform ownership.
- Ensure all reporting and automation initiatives are tied to measurable operational outcomes.
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