Bachelor's degree in Computer Science, Information Systems, or related field; Master's preferred.
10 years of progressive IT experience with 5-7 years in data warehousing/analytics technologies.
Leadership experience in Information Management initiatives (e.g., data warehouse or data mart build).
Expertise in data warehouse architecture, application design, and systems engineering.
Strong analytical skills for resolving complex data issues and logical data models.
Understanding of data flow methodologies between technology systems and business operations.
Experience in leading large-scale data integration projects with a proven team management track record.
Responsibilities
Lead and mentor a diverse team of Software Designers, Developers, and vendors.
Provide strong technology leadership and direction to the IT team.
Analyze business drivers and IT strategy to create technology state diagrams for data integration.
Govern ETL, data processing, and visualization design according to business requirements.
Define principles for ETL and data processing solution decisions based on best practices.
Manage planning, design/build, testing, support, and operational needs of the organization.
Evaluate trends in performance and operational health to improve application stability.
Benefits
Opportunities for professional growth and career advancement.
Collaboration with a diverse team of technical experts.
Access to the latest technologies and tools in the industry.
Engagement in best practices to ensure high-quality project delivery.
Support for ongoing training and development initiatives.
Full Job Description
Job Description
Principal duties and responsibilities:
Manage and mentor a large and diverse team of, Software Designers and Developers, and vendor partners to lead the development of the technical solutions platform of Enterprise Data Warehouse to support next-generation data integration and data integrity for business intelligence and analytics.
Provide a strong technology leadership to the IT team.
Analyze enterprise business drivers and IT strategy to create current state and future state diagrams of EDW technology focusing on data integration but also encompassing data definition, data standardization, data mastering and data governance.
Analyze enterprise business drivers to determine corresponding Information Architecture change requirements.
Provide technology direction and leadership to proactively upgrade and align solutions with evolving technologies and business needs, including implementation strategies, focusing on solution optimization and stability.
Design and govern the implementation of ETL, data processing, and data visualization design based on business requirements and IT strategies
Define the principles to guide ETL and data processing solution decisions for the programs / projects leveraging DW and visualization architecture artifacts and industry best practices.
Manage the work of and provides leadership to application staff to support the planning, design/build, test, implementation, support and operational needs of the organization. This includes, but is not limited to, project management, resource planning, assessment of integration and/or interface needs, support and maintenance.
Create/review conceptual, logical, and/or physical design , incorporating discrete and big data, analytics framework and data integration best practices
Define, implement and evolve source code and change/release management methodologies and other Software Life Cycle Development (SDLC) processes and build tools to operationalize them.
Plan solutions with performance, scalability, HIPAA security and reusability in mind and drive assessment of these trade-offs throughout the SDLC. Establish performance, efficiency and stability benchmarks, build and implement custom tools to proactively monitor and analyze solution performance and health across all parts, and continually improve them.
Act as a technical advisor and participate as needed in development/testing efforts within the team to maintain consistency and continuity.
Evaluate trends on performance, capacity and operational health and develops plans to address key issues. Resolve most issues independently within the team and partners with vendors to resolve more complex issues. Provide preventative maintenance, troubleshooting and resolves problems to ensure infrastructure and application stability. Lead continual improvement best practices by identifying and diagnosing improvement opportunities. Suggest improvements to solution architects and supervisors
Stay current with EDW and related analytics technology capabilities and bring the best practices into the development of the EDW program.
Promote, develop and adhere to system standards and best practices. Collaborate with team to promote re-use and develop consistent technical build, implementation and support processes.
Establish/Support processes to support strong governance around scope, schedules, financials, change management, deliverable quality and release management.
Oversee proofs of concepts for new technology, processes, and/or workflows. Implements applications according to requirements, specifications, and compliance/regulatory standards.
Effectively manage conflict and work together with team members, colleagues, and other leaders.
Effectively oversee, lead, communicate, present, influence and utilize reasoning skills to earn the support of staff, colleagues, leadership, and customers.
Administer personnel-related matters, including interviewing and hiring, performance evaluations, disciplinary action, coaching/mentoring, and staff development
Qualifications
Bachelor's degree in Computer Science, Information Systems, Computer Engineering, Systems Analysis or a related field required. Master's degree preferred.
10 years of progressive work experience in multiple IT areas, including 5 - 7 years of relevant domain experience in data warehousing and/or analytics technologies is required.
Prior experience in a technical lead or consulting role leading Information Management related initiatives (system integration, data warehouse build, data mart build, or similar) is required.
Requires expert level knowledge and understanding of data warehouse architecture, application design, systems engineering, SDLC, and integration.
Demonstrated experience leading teams that analyze complex data related issues and/or logical data models in support of corporate and customer information systems requirements.
Solid understanding of methodologies and technologies that depict the flow of data within and between technology systems and business functions/operations
Must be able to handle difficult and sensitive situations using sound, independent judgment within general policy and legal guidelines.
Must have led the design and architecture of end to end implementations of multiple large scale data integration projects
Proven track record in managing diverse teams, including highly-skilled technical resources as well as developing team members of varying skill levels.
Ability to assign, guide, and monitor the work of others regardless of the reporting relationship (direct, project, indirect).
Excellent strategic thinker with the ability to provide thought leadership to develop creative solutions for complex business and technical problems.
Excellent verbal and written communication skills. Able to develop and present complex material effectively to a variety of audiences - technical and non-technical, staff, management, and leadership.
