Sr. Manager, Data Products
Westchester, IL – Onsite 3 days per week
Job Summary:
This role is pivotal in leading the transformation of our data capabilities, shifting from traditional BI to an Analytics Engineering focus. You'll empower business partners to leverage data for better decision-making by creating intuitive, reliable, and performant data products. This entails leading a team to develop, implement, and evangelize data solutions that directly impact the company's success.
Essential Duties and Responsibilities:
- Champion a data-product-centric approach, ensuring data is trusted, accessible, and actionable for business users.
- Drive adoption through training, webinars, and hands-on engagement with business analysts.
- Cultivate a high-performing team, fostering skill development and establishing them as data SMEs for their business partners.
- Facilitate seamless collaboration between business leaders, data engineers, data scientists, and other stakeholders to deliver the right data to the right people.
- Build strong relationships with business partners, understand their data needs, and translate business problems into technical solutions.
- Design and implement data models, tables, and dashboards that empower the business to derive insights and make informed decisions.
- Create flexible dashboards and solutions that enable business users to answer their own questions quickly and independently.
- Champion data solutions that can be utilized by multiple teams across the organization.
- Conduct research and onboard new data sources to enhance business performance.
- Implement and maintain best practices for data integrity, testing, documentation, and training.
- Adhere to company policies and protect sensitive information.
- Stay updated on industry trends and technologies.
Requirements:
- 10+ years in Analytics or Business Intelligence
- Hands-on experience with Azure-based data solutions and creating self-service analytics capabilities for business users
- 3+ years leading and managing BI or Analytics Engineering teams
- Strong experience indata modeling, data warehouse concepts, and data visualization tools (e.g., Power BI, Tableau),
- Proficiency in SQL and/or Python/R for data analysis
Nice-to-Have/Desired Requirements:
- Experience with Azure Synapse, Databricks, ADLS Gen 2, and Power BI certifications.
- Familiarity with Google Analytics, Salesforce, SAP, and other data sources relevant to the company's operations