Project coordinator/manager - Data Transformation (Application Transformation) - Milwaukee, WI or Irving, TX

Job Title:

Project coordinator/ manager Data Transformation (Application Transformation)

Job Location:

Milwaukee, WI or Irving, TX 75063

Job Duration:

6 months Position Summary The Project coordinator/manager Data Transformation (Application Transformation) is responsible for leading complex, enterprise-level projects that focus on transforming and optimizing data within application ecosystems. This role ensures successful delivery of initiatives that modernize data flows, enhance application performance, and enable seamless integration across platforms. The position requires strong leadership, deep understanding of application architectures and data ecosystems, and expertise in project governance and Agile methodologies. This role demands exceptional business partnership capabilities to ensure alignment with strategic technology initiatives and overarching business objectives. ________________________________________ Project Planning & Execution Develop detailed project plans, charters, and schedules for data and analytics initiatives. Define scope, objectives, deliverables, and success metrics for each project. Manage RAID logs (Risks, Assumptions, Issues, Dependencies) and ensure proactive mitigation strategies. Agile Project Management Apply Agile principles and practices to manage iterative development cycles. Facilitate sprint planning, daily stand-ups, backlog grooming, and retrospectives. Ensure alignment between Agile teams and business stakeholders for continuous delivery. Stakeholder Management Serve as the primary point of contact for business, IT, and governance stakeholders. Facilitate communication across cross-functional teams including data engineers, analysts, and business SMEs. Prepare and deliver concise status reports, dashboards, and executive updates. Governance & Compliance Ensure adherence to enterprise data governance frameworks and regulatory requirements. Support adoption of data standards, metadata management, and stewardship practices. Contribute to playbooks and operating procedures for data projects. Risk & Issue Management Identify and escalate critical risks and constraints with recommended solutions. Monitor KPIs and success metrics tied to project deliverables and business outcomes. Team Leadership Lead and mentor project teams, including analysts and technical resources. Coordinate resource allocation across multiple workstreams and vendors. Foster a culture of accountability and continuous improvement. Quality Assurance Implement quality control measures for all deliverables. Conduct post-project reviews and lessons-learned sessions to improve future performance. ________________________________________

Required Skills & Qualifications Technical Expertise:

Strong understanding of data lifecycle, data governance, ETL processes, BI tools (e.g., Tableau, Power BI), and analytics platforms.

Project Management:

Proficiency in PMO methodologies (Agile, Waterfall, Hybrid), budgeting, and resource planning .

Leadership:

Ability to lead cross-functional teams and manage vendor relationships.

Communication:

Excellent written and verbal communication skills for stakeholder engagement.