Power Apps Solution Architect (Vaultis)

Position Overview

The Enterprise Data Engineering Lead is a technically fluent Project Lead responsible for directing the execution of Power Platform–based metadata repository and automation solutions within secure federal healthcare environments.

This role leads day-to-day delivery of centralized metadata repository implementation and automated metadata harvesting initiatives. The position translates governance requirements into executable workflows, coordinates cross-functional engineering teams, and ensures secure, compliant delivery aligned with federal standards.

The role is execution-focused, blending technical fluency with structured project leadership and delivery accountability.

• Drives Vision and Purpose: Connects metadata modernization and Power Platform initiatives to broader enterprise goals. Clearly communicates direction, builds alignment, and energizes stakeholders around a shared vision.
• Directs Work: Provides clear execution leadership across cross-functional teams. Delegates effectively, sets expectations, and maintains momentum through structured, iterative delivery.
• Plans and Aligns: Translates stakeholder requirements into actionable roadmaps and measurable milestones. Aligns technical delivery with organizational priorities and adjusts plans as needed.
• Interpersonal Savvy: Builds trusted relationships across technical teams and stakeholders. Facilitates collaboration, navigates group dynamics, and fosters shared ownership of outcomes.
• Manages Complexity: Balances technical constraints, regulatory requirements, and competing priorities. Evaluates trade-offs, mitigates risk, and drives practical, scalable solutions.

Core Responsibilities

Power Platform Solution Delivery Leadership

• Lead day-to-day execution of centralized metadata repository implementation using SharePoint, Power Apps, Power Automate, and Dataverse.
• Coordinate Solution Architects, Power Platform Developers, Data Engineers, AI/ML Engineers, and QA resources to deliver: metadata intake, approval workflows, role-based access, and reporting solutions.
• Ensure solution delivery aligns with governance requirements and defined acceptance criteria.

Metadata Automation Execution Oversight

• Lead implementation of automated metadata harvesting and AI-assisted documentation, integrating structured and AI-generated outputs into governed Power Platform schemas.
• Ensure quality and operational integrity of automation workflows, validating completeness, accuracy, lineage, compliance, refresh cadence, and exception handling prior to publication.
• Develop and manage work plans, sprint cadences, and milestone tracking.
• Facilitate working sessions with stakeholders and technical teams.
• Identify automation feasibility constraints, system limitations, and security risks early.
• Ensure alignment between deliverables and government timelines.
• Provide guidance to junior developers and engineers.
• Promote disciplined documentation and governance-aware engineering practices.
• Facilitate lessons learned sessions and continuous improvement discussions.

Business Development

• Support identification of follow-on automation or governance opportunities within client engagements.
• Contribute technical insights to proposals, white papers, and solution approaches related to enterprise data modernization.

Qualifications and Experience

• Education: Bachelor’s degree in Computer Science, Information Systems, Data Science, or related technical discipline required. Master’s degree preferred.
• Experience: Minimum of 10+ years of progressive experience in leading enterprise data or technology initiatives, with demonstrated responsibility for delivery oversight in complex, regulated environments.
• Demonstrated Experience:
  • Leading implementation of federal data management, governance, or digital modernization solutions within secure, compliance-driven environments (e.g., healthcare, defense, or other federal agencies).
  • Directing Power Platform–based enterprise solutions, including structured intake applications, workflow automation, role-based access controls, and reporting capabilities.
  • Driving AI-enabled automation initiatives, including automated data ingestion, metadata enrichment.