Overview
On Site
$100,000 - $160,000
Full Time
Skills
Power BI
data integration
Data product management.
DAX
ETL processes
Job Details
Requirements
We are seeking a driven and strategic Analytics Product Manager with a strong background in Business Intelligence (BI), Power BI, and AI-driven data solutions. This role will focus on building and scaling financial and enterprise analytics platforms that drive data-informed decisions across the organization.
You will partner with stakeholders across Finance, IT, and Business Operations to deliver modern, scalable reporting and insights solutions.
Key Responsibilities:
- Own the end-to-end product lifecycle for analytics and reporting solutions in the financial and enterprise domains.
- Define and execute product roadmaps focused on Power BI, AI, and data integration capabilities.
- Collaborate with cross-functional teams including data engineers, BI developers, finance, and business leaders.
- Translate business needs into technical requirements and ensure successful solution delivery.
- Ensure data governance, integrity, and security across all analytics platforms.
- Identify automation opportunities and integrate AI/ML models to enhance data intelligence.
- Conduct user research, gather feedback, and iterate on dashboards and analytics products.
Required Qualifications
- 9+ years of experience in analytics, BI, or data product management.
- Proven experience with Power BI and its ecosystem (Power Query, DAX, Gateways).
- Familiarity with AI/ML concepts and how they enhance data products.
- Experience working in financial analytics, FP&A, or enterprise reporting.
- Strong understanding of data modeling, ETL processes, and data architecture.
- Excellent communication and stakeholder management skills.
- Strong analytical and problem-solving mindset.
Preferred Qualifications:
- Prior experience in the financial services or enterprise SaaS industry.
- Experience working with Azure Data Platform, Databricks, or Fabric.
- Exposure to Agile/Scrum product development.
- Experience integrating AI-powered insights into dashboards or predictive models.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.