Data Manager
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Role details
Tech stack
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Job description
o Translate business needs into data product requirements and specifications, working closely with business and technical teams. o Define product vision, strategy, and roadmaps while managing backlogs and prioritizing features based on business needs and customer feedback. o Partner with data engineering, data science, data governance, and platform teams to develop and deliver data products from concept through launch and ongoing support. o Ensure data products are reliable, secure, compliant, and scalable, with proper data quality, documentation, lineage, and controls. o Track KPIs and product performance, identify opportunities for improvement, and communicate progress and results to business and technical stakeholders. o Serve as the go-to person for business data needs, helping bridge between business leaders and technical teams. o Identify opportunities to improve data products and deliver greater business value while supporting continuous improvement across the team. Pay rate: $60/hr-$65/hr The Company offers the following benefits for this position, subject to applicable eligibility requirements: medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance, long-term disability insurance, short-term disability insurance, paid parking/public transportation, paid time off, paid sick and safe time, hours of paid vacation time, weeks of paid parental leave, and paid holidays annually - as applicable.
Job Requirement o PowerBI o AWS o Snowflake o Databricks o SQL
Requirements
o 6+ years of experience in data governance, product management, business analysis, data engineering, data science, or a related field, with at least 3 years specifically focused on data products or data-driven initiatives. o Experience advancing a bank’s data product capabilities and developing a rollout plan. o Experience defining data risk and familiarity with financial services privacy and data risk standards. o Proficiency with Informatica data management tools and defining data concepts. o Strong understanding of data technologies, integration, and architecture, including: o Cloud platforms: AWS, Azure o Modern data platforms: Snowflake, Databricks o Data processing frameworks: Hadoop, Spark Experience with BI tools such as Power BI and Tableau, along with data modeling, ETL processes, and SQL. Knowledge of financial services processes and workflows, including data management, card transactions, core banking deposits and customer processing, loan processing, payments, and fraud management.
About the company
Collabera is a global leader in talent solutions, helping businesses grow and professionals build meaningful careers. We bring to life the dignity of work. In our pursuit of greatness, we are dedicated to developing individuals, building strong teams, and fostering a culture of unity and care - creating lasting impact for clients and communities worldwide for nearly 30 years.
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