Job description

Bioworld Merchandising is a leading design and distribution company of licensed and private label apparel, headwear & accessories to all retails channels. We collaborate with some of the most widely recognized brand and retail partners in the world. Employees of Bioworld consider it to be an honor and a privilege to be part of the hottest, most creative, dynamic company in the industry! We are seeking skilled candidates who are excited to join this amazing team! We Believe in Great Brands: Our goal is to translate the brand story into product that is as innovative and distinctive as the brand itself. Creative Culture: Our multi-disciplinary team brings to our brand partners a unique mix of creative product design paired with merchandising expertise. We prize collaboration and believe innovation comes from a diversity of creative ideas. We are the Market: Our team believes in full immersion to gain insight into retail markets, contemporary culture and consumer reaction. Position Overview The Director of Data Management and Analytics drives the data architecture strategy across the organization. This role is a subject matter expert in data architecture who translates business needs into technical specifications, provides research, data analysis, and delivery options to support data driven solutions. This leader provides well organized and excellent communication with business partners to build relationships and anticipate user needs. The director provides hands-on leadership, recommends system architecture, and is versed in all aspects of solution development including requirements definition, design, data source mapping and analysis, development, testing, implementation, and post implementation support. Key Responsibilities • Developing and implementing data management strategies • Manage all intake requests across business units; track and monitor requests to ensure critical milestones are met while managing stakeholder relations. • Lead a team of database and Power BI developers • Leverage Data Modeling and AI tools • Managing data quality and accuracy • Overseeing data storage and retrieval • Leading data analysis efforts including analyzing large quantities of data and identifying useful insights to drive business decisions • Determine budgeting for staff and resources • Gathering and verifying requirements, conducting unit testing and troubleshooting • Accountable for transferring data, knowledge, and best practices to impact the delivery of products and services that align with Bioworld’s strategic needs • Mentoring and training direct reports • Ensure all data warehouse and operating procedures are fully documented and maintained • Create and Automate reporting to support daily operational functions • Coordinate cross-departmentally to support conceptualization and development of data handling methodologies, solutions and initiatives. • Creating and presenting data visualizations • Communicating business insights and project goals Qualifications & Experience • Experience designing data management solutions for ecommerce, sales, accounting, and warehousing • Strong analytical and problem-solving skills are required. Must have the ability to be systematic and detailed oriented without losing sight of the big picture. Demonstrated ability to interpret the information provided and ask clarifying questions to understand the underlying needs that of a stated request or problem. • Background in data warehouse design (e.g. dimensional modeling) and data mining • Proven experience as a SQL Developer or Data Scientist • Experience designing cloud solutions (PaaS/SaaS) for compute, storage, and data source connectivity • Demonstrated experience designing and managing solutions built on Microsoft Azure including Synapse and Fabric technologies. • Demonstrated knowledge of SDLC, ITSM, privacy, and security concepts. • Strong project management acumen • Strong technical documentation skills • Significant application development experience including requirements analysis, design, development, testing, implementation, and post implementation support is required. Experience must include the documentation and maintenance of related artifacts. • Excellent written and oral communication skills; able to flex style based on the audience are required. • Well-developed interpersonal skills • Able to manage multiple tasks simultaneously. • Highly self-motivated with ability to follow directed priorities. • Keen attention to detail • Team-oriented and collaborative leadership Education Requirement • Bachelor’s degree in Computer Science, Data Analytics, Business Management, or similar discipline with a minimum 7 years of data architecture and solution development experience driving IT projects in consumer products, ecommerce, or similar related field. Work Schedule • Hours of operation: Monday-Friday: 8:30am – 5:30pm CST to overlap with USA operations; extended work hours depending on volume. • On-call availability for resolving emergency issues from home.

Requirements