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Rise Analytics-AVP, Business Intelligence

Job in Tampa, Hillsborough County, Florida, 33646, USA
Listing for: Trellance LLC
Full Time position
Listed on 2026-05-21
Job specializations:
  • IT/Tech
    Business Systems/ Tech Analyst, Data Science Manager, Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 110000 - 140000 USD Yearly USD 110000.00 140000.00 YEAR
Job Description & How to Apply Below

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

RFT Tampa, FL, US

7 days ago Requisition

Rise Analytics is a data and analytics technology company and a wholly owned subsidiary of Trellance, focused on helping financial institutions unlock the full value of their data. Through its cloud-native analytics platform, Rise enables credit unions and banks to integrate, analyze, and activate data across the organization to drive smarter decisions, improve member experiences, and accelerate growth. The platform combines a modern data lakehouse architecture with advanced analytics, AI-driven predictive models, and purpose-built solutions for marketing, lending, finance, and risk.

Rise Analytics serves a growing network of financial institutions and partners that rely on its technology to transform data into actionable intelligence.

Overall responsibility:The AVP, Business Intelligence will lead the development and evolution of the enterprise BI platform. This role is responsible for driving data-informed decision-making across the organization by delivering scalable, high-impact analytics solutions built on Power BI and a modern cloud data stack. The AVP BI is a hands‑on leader who can architect solutions, review and contribute to code, and roll up their sleeves alongside the team to ship.

ESSENTIAL

FUNCTIONS
  • Own the enterprise Power BI environment, including workspace governance, capacity management, and deployment pipelines.
  • Establish and enforce BI governance standards: row‑level security, dataset certification, naming conventions, and access controls.
  • Define and manage Premium/Fabric capacity allocations and monitor platform health and usage.
  • Drive adoption of Power BI best practices across development teams and business stakeholders.
Agentic AI & the Future of BI
  • Collaborate with Engineering to build agent‑driven and app‑based analytics solutions that go beyond traditional reporting.
  • Stay current on Microsoft Fabric, Copilot for Power BI — evaluate and adopt capabilities that improve delivery speed and output quality.
  • Continuously refine and contribute to agents and skills within the organization's codebase — improving reusability, quality, and the team's collective AI capability over time.
Data Modeling & Semantic Layer
  • Take ownership in the enterprise semantic layer across Snowflake and Power BI — with Snowflake serving as the authoritative source of business data and Power BI datasets delivering that truth to decision‑makers.
  • Partner with data engineering on Snowflake data models and dbt transformations to ensure BI‑ready data structures.
  • Define standards for DAX, calculated measures, and dimensional modeling across the BI layer.
Team Leadership & Product Engagement
  • Lead, mentor, and grow a team of BI developers and analysts — setting technical standards and actively participating in code and model reviews.
  • Contribute directly to development when needed: building semantic models, writing DAX, and delivering solutions alongside the team.
  • Own and manage the BI backlog — prioritizing work across multiple teams, driving estimation, and ensuring capacity is aligned to business priorities.
  • Partner with the product team to identify analytics needs and translate them into scalable BI solutions.
  • Champion an agentic mindset across the team — actively participating in the community of practice, coaching team members on AI‑driven approaches, and supporting the development of shared skills and agents.
BI Dev Ops & Delivery
  • Implement CI/CD pipelines for Power BI report and dataset deployments using Azure Dev Ops or Git Hub Actions.
  • Apply version control and automated testing practices to BI development workflows.
  • Define and enforce development standards, code review processes, and release management for the BI team.
  • Lead sprint planning, work estimation, and delivery forecasting across BI development efforts — maintaining visibility into velocity and cross‑team dependencies.
KNOWLEDGE SKILLS & ABILITIES POSITION REQUIREMENTS

Minimum Education /Experience

Bachelor’s degree (BA or BS) from an accredited college or university…

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