The Director of Business Intelligence Delivery is responsible for overseeing client-facing execution of one or more Blend360 projects. Since this requires strong client management skills, prior billable consulting experience will be required. Oversee multiple cross-functional project teams of data analysts and engineers, collaborating closely with various client stakeholders and driving multiple enterprise analytics initiatives as our company continues to grow. Builds and champions the application of reporting, analysis tools, dashboards, and business knowledge to develop and implement replicable reports, datasets, and databases to achieve performance and financial metrics. Breadth across BI technologies and depth in being able to work at a level of detail are both important to being successful in this role. Work is fast-paced and the job may require some flexibility in hours to accommodate the needs of Blend360 clients.
Key Responsibilities:
- Support the development of Business Intelligence (“BI”) proposals, projects & initiatives by partnering with senior-level client partners within Blend360 and its clients
- Define BI solutions that fit client needs. Apply BI best practices and work with team members to design technical solutions
- Work as the BI tools subject matter expert and drive offerings development especially in the Microsoft Power Platform area
- Manage the team working with business users and analysts to design and develop optimal business intelligence reporting and data analytics solutions
- Collaborate with database architects, data scientists, and supporting developers in development and production support work
- Mentor junior resources and take ownership of the team’s deliverables, including reporting, analytics, automation, and process improvement
- Manage the team utilization, project budget, decide how to approach tasks, and develop a plan to accomplish them
- Coordinate distributing information to team members and stakeholders and push the team for excellence, insight, and improvements
- Bachelor’s degree in the Engineering, Science, Technology, or any closely related fields
- Highly analytical, metrics-driven, with the ability to turn empirical data into insightful, strategic decisions and tactical team plans
- Established track record driving business goals and offerings through data, business intelligence, and analytics
- Has built, grown and led a BI delivery team in a prior senior role interfacing with clients
- Proven ability to manage multiple competing priorities against capacity constraints
- Excellent interpersonal skills required to deal effectively with a wide range of individuals and cultures, at all levels
- Attention to detail and a passion for precision and accuracy
- Strong analytical, organizational & time management skills
- Utilizes creative strategies to analyze and produce effective documents
- Ability to work independently, as well as collaborate with others
- Some travel will be required. May telecommute from any location in the United States or Canada; monthly travel to corporate office in Columbia, Maryland for 1-2 days may be required to meet in-person with the team and senior leadership
- 12+ years of experience in Business Intelligence, analytics, and data warehousing in the following areas:
- 7 years of hands-on experience working with any one or more of the following big data analytics platforms: Tableau Desktop, Tableau server, Tableau Data Prep, Power BI, Looker, ThoughtSpot, Qlik and Tableau CRM (Einstein Analytics)
- Knowledge of and experience with MS Power Platform including Power Automate, Power Apps and Azure is highly desirable
- 10 years of experience designing, developing, and enhancing Business Intelligence reporting and data analytics solutions including experience in Business Intelligence project planning, project scoping, and leading and mentoring BI analysts, report developers, and engineers.
- 7 years BI project management experience in being able to deliver on multiple concurrent tasks, projects and priorities
- 5 years of experience working with any one or more of the following data technologies: AWS S3, AWS Athena, Cloudera Hadoop, Denodo, Informatica Data Prep, Alteryx, DBT
- 3 years of experience using any one or more cloud or on-premises databases such as Amazon AWS Redshift, Snowflake, Amazon S3, Athena, Microsoft SQL, Azure
