Description
The Sr. Manager of Business Intelligence plays a key role in shaping how data and analytics inform business decisions at Kindthread. The ideal candidate is a strategic partner with the ability to be a hands-on contributor. This person is responsible for aligning data efforts with organizational priorities, helping teams understand what insights truly matter, and building tools and processes that deliver clarity and value.
The ideal candidate combines a strong technical foundation with business acumen and the ability to influence across all levels of the organization. They will be expected to manage business expectations, actually create solutions themselves, and lead a team of data analysts.
Requirements
Core Responsibilities
- Partner closely with functional leaders to understand business objectives, define data needs, and guide teams toward the insights that truly support strategic priorities
- Translate high-level business questions into clear, actionable analytics and reporting strategies
- Drive the roadmap for business intelligence and reporting, ensuring alignment with Kindthread’s omnichannel growth, operational efficiency, and financial goals
- Lead the team in delivering insights across areas such as sales performance, customer behavior, inventory, and margin optimization
- Provide thought leadership on how data can enable smarter decision-making, with an eye toward what questions should be asked — not just answering what’s already known
- Ensure data quality, governance, and consistency across platforms and teams through best practices and stewardship
- Manage relationships with third-party vendors and partners to augment internal BI capabilities where needed
- Mentor and grow a high-performing team of analysts, promoting a business-focused, insight-driven mindset across the group
- Data Visualization & Storytelling: Translate complex data into compelling insights and stories for stakeholders, enhancing decision-making.
Required Skills/Abilities
- Strong experience in business intelligence, retail analytics, or enterprise data systems, with a proven ability to influence business direction through data
- Data Architecture Oversight: Lead and optimize our AWS Redshift data warehouse data modeling to support scalable reporting and analytics
- Data Visualization: Create customized dashboards, reports, and visualizations to meet the diverse needs of stakeholders. Experience with visualization tools i.e. Tableau, Domo, Power BI required
- Data Governance and Quality: Establish and enforce data governance standards to ensure data accuracy, integrity, and security across the organization.
- Advanced knowledge of Power BI, PowerQuery, SQL, and modern data modeling techniques
- Deep understanding of retail operations, omnichannel commerce, and financial KPIs
- Skilled at identifying the right questions to ask, and translating business needs into scalable data solutions
- Excellent communicator with the ability to present insights in a way that drives decision-making at the leadership level
- Experience managing cross-functional projects and building strong internal partnerships
- Comfortable balancing strategic planning with hands-on development work when needed
- Collaborative, adaptable, and highly responsive to a fast-changing environment
Education and Experience
- Bachelor’s degree in Business, Information Systems, Data Science, or related field required
- 7+ years of relevant experience in retail analytics, BI development, or enterprise data strategy
- Prior experience in omnichannel or specialty retail strongly preferred
Compensation
$164,000-$183,000 annually. Kindthread encourages applications from candidates at all levels; pay will be based on experience.
Summary
Kindthread is a leading company in the healthcare apparel space, with brands including Scrubs & Beyond, Landau, and White Cross. We are dedicated to providing high-quality apparel and an exceptional customer experience across our brands. Our mission is to elevate the healthcare workforce with products that are functional, stylish, and comfortable.