Job description
POSITION SUMMARY
The Reporting and Data Services Team Lead provides day-to-day direction to a team of employees and contractors delivering reporting and data delivery solutions to help inform business decisions for stakeholders across the Les Schwab enterprise. In addition, the Reporting and Data Services Team Lead will define and leverage appropriate Business Intelligence (BI) development tools, techniques and methodologies, and will have a strong business acumen and an ability to guide and inspire the organization about the business potential and strategy of reporting and other self-service and non-self service data delivery solutions. The Reporting and Data Services Team Lead has a deep understanding of available enterprise data and the data structures available upon which to build reports, and ensures all data-centric products developed by the team are constructed and maintained using best practices. The Reporting and Data services Team Lead collaborates with the Data Product Manager and Business Product Owners to manage the end-to-end lifecycle of deliverables and products from creation through deployment and maintenance.
PRIMARY RESPONSIBILITIES
Serve as Team Leader and Mentor:
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Establish processes and procedures for report developers to frame business problems, design reporting and data delivery solutions, and conduct end-user validation with stakeholders.
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Establish processes and procedures for consistent Business Intelligence Report and Dashboard designs and standards.
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Oversee the schemas and data structures within Enterprise data warehouses used to build reports and collaborate with the Enterprise Data Architect Lead to make design decisions for enterprise data models that will affect reporting efficiency.
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Perform day-to-day review and oversight of Reporting and Data Services solution development work.
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Improve the organization’s understanding of the value of and methods for data and reporting delivery.
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Collaborate enterprise-wide and beyond to identify data driven opportunities and understand constraints; guide, inspire and strategize on data-driven initiatives to add value to the business
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Provide ongoing training, assessment, development, coordination and skill building of team members that is in alignment with the functional manager's direction
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Serve as a role model to others on the team by ensuring best practices are followed and taking a leadership role in projects
Serve as Reporting and Data Services product solution lead:
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Work with the Data Product Manager to define the initial solution for the report or data delivery service and plan for continuous improvement of prototypes and production products by delivering solutions to meet business value and potential and recommending upgrades, maintenance or decommissioning
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Create repositories of reusable artifacts, catalogs and documentation to improve team efficiency, knowledge transfer and communication
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Hold vendors accountable for the quality and usability of delivered analytic models and products
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Partner with the Enterprise Data Platforms team in continuous improvement processes to help improve the quality of Enterprise Data Platforms, including Master Data, Datalakes, Data Warehouses and other staged data to support production applications and products.
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Recommend ongoing improvements to data capture methods, scientific and analysis methods and algorithms, etc. that lead to better outcomes and quality, whether owned by the BI Portfolio or other Portfolios
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Network within IDS and business partner departments to gain business understanding, and to guide and inspire others about the potential for reporting and data delivery solutions at Les Schwab.
Production support for Reporting and Data Delivery Service Products
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Set up operating procedures for production support of products deployed by the team.
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Own the lifecycle of data structures upon which production reports are built, deciding when to add, modify or decommission data structures within reporting schemas and collaborating with the Enterprise Data Architect Lead to schedule maintenance.
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Track production support needs and team member skill set availability and capacity in order to assist the Portfolio Manager with defining vendor contracts and staffing plans for production support.
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Track production use of reporting and data delivery products in order to assist the Data Product Manager to plan product maintenance and decommissioning.
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Track Reporting and Data Delivery tool feature roadmaps as compared to product requirements and business interests and assist the Portfolio Manager with strategic planning for tooling and licensing contracts.
Stay current on reporting and data delivery best practices and technologies:
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Help improve the organization’s understanding of the value of and methods of various types of reporting (ad-hoc, productionalized, self-service) and visualization methods possible.
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Help improve understanding of related technologies and processes to accomplish outcomes related to enabling and improving business processes by access to data.
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Recommend and manage the tools needed to perform reporting and data delivery.
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Support the overall maturity of the Les Schwab Reporting & Data Services, Data Science & Analytics program.
MINIMUM REQUIREMENTS
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Bachelor’s or Master’s degree in computer science, operations research, engineering, mathematics or a related quantitative field. Alternate experience and education in equivalent areas such as economics or physics is acceptable. -
Master’s degree preferred.
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AND minimum of eight (8) years of relevant experience successfully executing reporting and data services delivery projects
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AND minimum of two (2) years of relevant experience as the accountable leader for a team of BI developers.
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Advanced technical skills that allow the Team Lead to guide team members and step in and do hands-on data engineering, report development, data extractions, visualizations and presentations of results when needed.
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Expert SQL skills to build and query data structures and counsel team members on SQL best practices.
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Demonstrated ability to lead and motivate.
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Knowledge of data-centric product development processes, performance measurement and improvement methods, production infrastructure and best practices for deploying models into the business.
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Adept at building data pipelines and techniques for exploring, cleansing and visualizing data, as well as descriptive and prescriptive analytics approaches.
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Expertise with database programming languages including SQL, PL/SQL, or others for relational databases, graph databases or NOSQL/Hadoop-oriented databases.
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Ability to recommend and select from several reporting, visualization and data delivery approaches to meet target outcomes within business constraints using best-practice techniques.
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