Business Intelligence Manager II

* Lead the development and maintenance of BI dashboards, reports, and data models to support business operations and strategy.
* Collaborate with PMO, Product, Stakeholders, and Engineering to align data initiatives in the department with business goals.
* Maintain a prioritized backlog of tasks and ensure clarity and cleanliness of data pipelines and reporting artifacts.
* Partner with infrastructure and data engineering teams to ensure optimal performance of BI tools and platforms.
* Demonstrate deep understanding of data sources, business processes, and reporting requirements; propose effective solutions.
* Analyze risks and impacts of BI changes on business operations and recommend improvements.
* Apply and advocate for team standards in data documentation, visualization, and testing.
* Communicate effectively across technical and non-technical audiences, recognizing upstream and downstream data impacts.
* Continuously improve BI processes and mentor team members to enhance data literacy and analytical capabilities.
* Monitor BI system health and proactively address issues to ensure high availability and reliability.
* Promote a culture of data-driven decision-making and continuous learning within the team.

- This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required.  However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member.
* ** Customer Empathy:
** Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer’s shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience.
* ** Engineering Excellence:
** Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions.
* ** One Team:
** A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively.
* ** Owner’s Mindset:
** Owner’s Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business.
* Bachelor’s degree in Information Systems, Data Analytics, or related field; or equivalent experience.
* 5 - 8 years leading BI or analytics teams.
* Strong communication skills, both oral and written.
* Proven experience using BI solutions to improve business outcomes.
* Experience managing requirements gathering, prototyping, user acceptance testing, and deployment of BI projects.
* Basic understanding of data warehousing and web technologies.
* Experience with BI lifecycle and governance frameworks.
* Project management experience: PMP certification is a plus.
* Experience writing SQL queries and analyzing data patterns.
* Familiarity with cloud-based BI platforms and data services.
* Ability to manage multiple priorities and communicate complex data concepts clearly.
* Demonstrated ability to lead with insight and make strategic recommendations.
* Self-driven, customer-focused, and able to work independently with moderate supervision.
* Strong analytical skills and ability to work with abstract concepts.
** Target Compensation**: A competitive base salary range from $129,018 - $189,227. This position is eligible for an annual variable bonus of cash and equity, between 15-30%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience…