Director, Analytics & Business Intelligence, Digital Product Operations
New
J
JobgetherDigital Product Operations
Based in United States, Eastern TimeFull-TimeDirector
Salary88,000 - 145,000 USD per year
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Job Details
- Experience
- 5+ years
- Required Skills
- SQLBusiness IntelligenceData AnalysisJiraProduct AnalyticsRESTful APIsChange ManagementConfluence
Requirements
- 5+ years of experience in product analytics, business intelligence, or data analysis within a digital product or technology organization.
- Proven experience measuring and driving organizational change, including designing effective interventions.
- Ability to operate in ambiguous environments and define metrics where standards do not exist.
- Experience building actively used dashboards that inform team decision-making.
- Strong understanding of product management practices such as roadmap maturity and backlog health.
- Deep data governance capabilities including metric definition, documentation, and quality control.
- Proficiency with Productboard, Jira, and Confluence for extracting operational signals.
- Working knowledge of SQL and APIs for data extraction, validation, and analysis.
- Strong analytical, problem-solving, and stakeholder influencing skills.
- Excellent communication and coaching abilities for technical and non-technical audiences.
- Ability to travel approximately 5–7 times per year for business meetings and collaboration.
Responsibilities
- Define and build product analytics dashboards to measure roadmap maturity, planning quality, and other performance indicators across 15+ teams.
- Partner with product leaders and managers to establish baselines, targets, and healthy product practices.
- Develop self-service dashboards enabling independent performance analysis and better decision-making.
- Create executive-ready reports that communicate trends, risks, and recommended actions.
- Build a measurement framework for assessing adoption of new operational practices and processes.
- Analyze adoption gaps and drive interventions based on awareness, capability, or process design findings.
- Maintain high standards for data accuracy, documentation, and governance to ensure reliable metric definitions.
- Coach product teams on interpreting analytics to improve planning, prioritization, and product delivery.
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