Location: Buffalo, NY
Salary: $70.00 USD Hourly - $80.00 USD Hourly
Description: Title : Project Manager W/ Cloud Data Engineer Projects
Location: Buffalo, NY Remote
Duration of project : 12+ months Open contract
Job Description :
Client is seeking an experienced Senior Project Manager to lead large-scale Data Engineering and Data Modernization initiatives supporting the Company enterprise technology transformation strategy. This role will be responsible for driving complex programs focused on legacy modernization, cloud-enabled data platforms, hybrid data architecture, AI readiness, and enterprise analytics capabilities.
The ideal candidate will have a proven track record managing enterprise data engineering programs within highly regulated environments, partnering closely with data architects, engineers, infrastructure teams, business stakeholders, and executive leadership to deliver transformational outcomes.
Company transformation roadmap includes modernization of legacy data platforms, creation of a scalable hybrid data fabric, expansion of AI and analytics capabilities, and consolidation of enterprise technology platforms.
Responsibilities
Lead end-to-end delivery of complex Data Engineering, Data Management, and Data Modernization programs.
Manage cross-functional teams consisting of Data Engineers, Data Architects, Platform Engineers, Cloud Engineers, Business Analysts, and Product Owners.
Drive migration of legacy data pipelines and workflows into modern, scalable, cloud-ready architectures.
Coordinate initiatives related to enterprise customer data consolidation, data quality improvement, governance, and metadata management.
Partner with technology and business leaders to prioritize and execute strategic modernization objectives.
Oversee project planning, budgeting, resource management, risk mitigation, dependency management, and executive reporting.
Facilitate Agile ceremonies and ensure alignment across multiple workstreams and delivery teams.
Establish program governance frameworks, KPI tracking, and status reporting for executive stakeholders.
Manage delivery across hybrid environments spanning mainframe, on-premises, and cloud platforms.
Support enterprise AI and analytics initiatives by ensuring foundational data platforms and data products are delivered effectively.
Coordinate with Infrastructure, Information Security, Risk, Compliance, and Architecture teams to ensure regulatory and security requirements are met.
Drive platform rationalization and technology consolidation efforts to improve operational efficiency and reduce technical debt.
Required Qualifications
8+ years of Project Management experience leading large-scale technology programs.
5+ years managing Data Engineering, Data Warehouse, Data Lake, Analytics, or Data Modernization initiatives.
Experience delivering enterprise-level data transformation programs within Banking, Financial Services, Insurance, or other highly regulated industries.
Strong understanding of Data Engineering concepts including:
- Data Lakes and Lakehouse architectures
- Real-time and Batch Processing
Experience managing projects involving cloud platforms such as Azure
Proven ability to manage multiple concurrent workstreams, vendors, and stakeholder groups.
Strong executive communication and presentation skills.
Experience utilizing Agile, Scrum, Kanban, and hybrid project delivery methodologies.
Proficiency with Jira, Confluence, Microsoft Project, Azure DevOps, or similar project management tools.
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