Technical Project Manager
- Dallas, TX
- Permanent
- Full-time
- Manage the data analysis and design of analytics products across a focused area of the business value stream to enable data-driven business decisions that will drive performance and lead to the accomplishment of annual goals.
- Translate complex business requirements into data requirements and work with internal customers to define data requirement details based on expressed partner needs.
- Acts as project manager - monitoring the program from initiation through delivery including planning and directing schedules. Gathers input from the project team and acts independently to develop a plan for projects of moderate to significant scope which may include novel products or services.
- Design future state data architectures by applying data requirements, data profiles and business rules to current state architectures in alignment with best practices and standards.
- Drive data architecture that enforces consistency across the data landscape with an emphasis on single sources of truth.
- Perform extensive data profiling to understand data behaviour and business rules.
- Thoroughly document data architecture solutions, business requirements, training material and business processes for both business and technical audiences.
- Drive the adoption of and socialize data products with end users through user training.
- Leverage frameworks for repeatable validation of data integrity within data products supporting accurate and consistent reporting and analytics.
- Support standard methodologies in data analysis: data integrity, unit testing, data quality control, system integration testing, modelling, validation, and documentation.
- Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs, demonstrating standard query syntax.
- Identify business opportunities, establish goals, and communicate on the analytics pipeline.
- Establishing analytics reporting that enables enhanced decision-making - Dashboard, MIS.
- Provide insights and improve program performance.
- A minimum of 8-12 years of experience is required, with approximately 5 years of project management experience in end-to-end delivery.
- Experience working with data analysis on public cloud platforms like MS Azure, Google Cloud or AWS (Preferred - AWS console and tools, specifically S3 and Athena).
- Experience in deploying enterprise-level applications.
- Working knowledge of databases and Basic SQL.
- Experience working in Agile development for data-driven solutions.
- Collaborate with product owners to organize and prioritize work, leveraging Agile project management methodology.
- A good understanding of the full project life cycle.
- Familiarity with documentation in all phases of the project.
- Should have the ability to gather requirements from stakeholders and facilitate testing.