Brooks is a growing, fast-paced technology leader of automation solutions which support the dynamic and expanding semiconductor and life sciences lab markets. At Brooks, new ideas, technologies, and ways of thinking are driving our future. Our customer-focused culture encourages employees to embrace innovation and collaborate with one another to achieve new heights. We are looking for our next Sr. Manager, Data Operations as we accelerate our growth journey.
What you'll do:
Manage and Lead the Data Operations team consisting of data warehouse developers, ETL data engineering experts, and BI report writers
Operational management of data processing lifecycle, identifying actionable improvements and optimizations to support growing complexity and demand
Proactively meet with key business stakeholders to help define requirements, design and model data capabilities, and deliver business-driven data service and products, reporting and analytics
Hands-on approach to user community data/report training and problem/resolution management
Manage the data projects portfolio, represent IT in the Data CoE, and participate in large cross-functional projects and programs
Monitor, triage, and assign data operations work captured through IT service desk, IT Demand intake, IT Business Partner, and other data and analytics demand intake channels
Establish and document data operations policies and procedures including data pipeline topology and roadmaps, data source lineage and data processing schedules and calendars
Represent IT Data and Analytics function on all internal boards and committees such as Change Advisory Board, Architecture Review Board, and Data CoE, IT Demand Intake Committee
What you'll bring:
Bachelor of Science in Computer Science and or Data Science and Engineering
8 to 10 Years' people and data/analytics technology operational management
Expert experience with data warehouse design, data modeling, ETL design and cloud-first data integration techniques, report development and data visualization concepts
Strong familiarity with database concepts RDBMS technologies such as SQL Server, Oracle, MySQL, NoSQL, Snowflake, fact and dimensional modeling concepts, and emerging trends around ML/AI capabilities
Strong familiarity with AWS technologies such as Redshift, EC2, S3, Lambda, Glue
Proficiency with Tableau, Tableau Server, Informatica, SSIS
Strong Financials, Supply Chain, Manufacturing, Sales Operations, Service, and FP&A business acumen including forecast, demand planning, month end close processes.
Ability to work collaboratively across the organization: interpret user requirements, identify the root cause, research possible solutions, identify most feasible solutions
Strong vendor management and IT procurement skills for technology evaluation, selection, contract processing and license renewals
Strong oral, written and presentation communication skills
Proficient in prioritizing, multi-tasking and managing multiple projects using work management tools such as Jira, ITSM, MS Teams
Comfortable in a fast-paced environment and have an eye for detail, good data intuition, and a passion for data quality
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