Vacancy caducado!
- Manages the day-to-day work of assigned staff and operations of the department. Leads, directs, and reviews the work of the team to ensure successful operational outcomes within the department. Ensures policies, practices and procedures are understood and followed by the team, clients, and stakeholders. Develops and/or refines procedures to improve results and leads change efforts to ensure sustainable improvement. Sets direction for the work group and operationalizes key strategic initiatives as defined by senior management. Ensures work is completed within the established budget and timeline.
- Collaborates with cross-department management and data stewards to develop policies and standards that ultimately lead to Master Data Management.
- Partners with Data Governance and Business Intelligence to identify data models, architecture, ETL and virtual layers needed through one-to-one communications and group workshops with key employees.
- Codifies and creates data models and transformations to identify areas for improvement. Assists customers who use the data tools to model and transform the data for business needs.
- Establishes frameworks and/or standard operating procedures for data-related activities such as data acquisition, data enrichment, data correction, data and reporting access, data cataloging, migrations, environment and job monitoring, and job orchestration.
- Builds and manages relationships with vendors, ensures that contractual obligations are met, and work product is of high quality.
- In accordance with applicable policies/procedures and Federal/State laws, may perform the following supervisory responsibilities: Interviewing, hiring orienting and training employees; planning, assigning, and directing work; coaching and appraising performance; rewarding and disciplining employees; addressing complaints and resolving problems.
- High School Diploma / GED required.
- Bachelor's degree in Computer Science, Engineering, Economics, Statistics, Business Management, Information Systems and/or related preferred.
- Minimum 5 years of experience with data modeling, data warehousing, data integration, data mining, and data quality.
- Expert understanding of database architectures, programming and scripting, design, implementation, repair, and maintenance. (SQL, Python, XML)
- Minimum 3 years of leadership experience managing a department with direct reports. Experience mentoring a team to allow for skill/knowledge development through advice, coaching, career planning, and training opportunities.
- Advanced experience developing and maintaining structured and un-structured data (Azure SQL, Azure Data Factory, Azure Data Lakes).
- Advanced understanding of data governance and/or master data management concepts.
- Advanced experience with domain-driven architectures and cloud technologies (Azure) preferred.
Vacancy caducado!