Get more replies from employers
Send a job-specific resume in minutes.
Prudent Technologies and Consulting, Inc. is seeking a seasoned Sr.
Privacy Project Manager to lead complex Data & Advanced Analytics initiatives, ensuring privacy by design and regulatory alignment across the Global Services and Data Platform division. You will develop project plans, coordinate cross-functional teams with Legal, InfoSec, and Data Governance, and embed privacy requirements into user stories, backlog items, and definitions of done.
As a seasoned Sr. \"Privacy\" Project Manager with experience delivering real-world complex Data & Advanced Analytics projects, the person is expected to
1. Plan, execute, and oversee technology and data platform initiatives within the Global Services and Data Platform (GSDPF) Division by coordinating scope, schedule, resources, budget, and deliverables.
2. Ensure projects are delivered in alignment with approved objectives, governance standards, and quality expectations while supporting data, analytics, and digital transformation initiatives.
Develop, maintain, and manage project plans, schedules, work breakdown structures, and milestone timelines in alignment with approved scope and objectives. Coordinate project activities across cross-functional teams to support timely and efficient execution of deliverables throughout the project lifecycle.
Lead projects focused on data privacy compliance and regulatory alignment.
Drive privacy assessments, security checkpoints, and compliance reviews as part of project delivery. Partner with Legal, InfoSec, and Data Governance teams to ensure appropriate handling of PII, sensitive data, and regulated datasets. Oversee implementation of privacy controls such as access restrictions, masking, minimization, retention workflows, and audit traceability. Ensure that privacy requirements are incorporated into user stories, backlog items, acceptance criteria, and definition of done.
Facilitate all Agile ceremonies and ensure that both data and privacy requirements are visible, prioritized, and worked through in alignment with sprint goals. Partner with Product Owners to maintain dual-focused backlogs that cover feature delivery, data quality enhancements, compliance tasks, and privacy controls.
Remove blockers—technical, process-related, or privacy-related—to maintain delivery flow. Coach teams to improve Agile maturity while maintaining compliance and governance expectations.
Serve as a central point of coordination between business stakeholders, product owners, technical teams, and leadership. Facilitate project meetings, status reviews, and decision forums, ensuring clear, consistent communication of progress, risks, dependencies, and impacts.
Monitor project scope, schedule, and risk by tracking progress against approved plans and identifying variances. Document, manage, and escalation risks, issues, assumptions, and change requests in accordance with established project governance and escalation protocols.
Track and manage project budgets, forecasts, and resource allocations to ensure alignment with approved funding and staffing plans. Support financial reporting, cost monitoring, and resource planning activities in coordination with leadership and finance partners.
Ensure project deliverables meet defined acceptance criteria, quality standards, and governance requirements by supporting review, validation, and approval processes. Maintain accurate and complete project documentation in accordance with organizational, audit, and compliance standards.
Support the transition of completed initiatives into operational teams by coordinating knowledge transfer, documentation, and handoff activities. Capture lessons learned and identify opportunities to improve project delivery practices, tools, and processes.
Lead end-to-end planning and delivery of data pipelines, modeling efforts, analytics solutions, dashboards, and data modernization initiatives.
Coordinate cross-functional work across data engineering, BI, data governance, QA, product, and business groups. Ensure strong data governance practices—including metadata accuracy, documentation, lineage, and quality controls—are embedded throughout all projects. Manage dependencies across systems and teams to ensure data solutions integrate cleanly and securely.