In a consulting environment meet with client user and IT management to gather requirements and specifications in order to deliver robust applications to support a variety of business applications (e.g. logistics, health care, retail). Gather project requirements and translate them into scalable, workable technology solutions. Lead Teams:
Manage onsite and offshore software development staff (e.g. Data Engineers and Software Developers) to ensure the successful design, development, and deployment of applications. Ensure High-Quality Deliverables:
Oversee project delivery by ensuring applications comport with specifications and client expectations.
Participate in Client Engagement:
Communicate with clients to apprise them of project status and resolve issues as they arise. Mentor and Guide Team Members:
Provide mentorship and coaching on product/solution strategies to enhance team skills. Project Acquisition:
Identify opportunities to provide additional functionalities and prepare proposals to clients. Facilitate Teamwork:
Coordinate diverse teams to ensure project resources are working in conformity to meet project objectives. Support Solution Delivery:
Participate in delivery of applications to clients.
Data Modeling and Integration:
Design and implement data models for efficient querying and analysis. Business Intelligence Solution Development:
Build, maintain, and deploy BI dashboards and visualizations to provide actionable insights. Data Pipeline Management:
Develop and manage ETL/ELT pipelines to ingest and transform datasets from various sources. Advanced Analytics:
Implement AI and data science models for predictive analytics and decision-making. Data Governance and Security:
Establish data governance frameworks and ensure compliance and security protocols. Data Architecture and Infrastructure:
Design and maintain the BI data architecture for seamless data flow. Performance Optimization:
Monitor and optimize BI solutions for performance and scalability.
Requires a Bachelor’s Degree in Information Technology or Computer Science and 2 years of experience. Experience as a Data Architect is acceptable, or any suitable combination of education, training or experience thereof..
Full Time
Hours:
40
Scheduled Days: Monday – Friday
Job Site: Must be willing to travel to various unanticipated jobsites within the U.S.
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