Leads complex enterprise technical projects from concept through execution, including platform implementations, migrations, and modernization efforts. Defines scope, schedules, budgets, risks, dependencies, governance, and change controls while coordinating engineering, infrastructure, analytics, security, vendors, and business stakeholders. Translates business needs into execution plans, facilitates delivery ceremonies, reports to executives, ensures security and regulatory alignment, and improves project delivery practices. Data and analytics platform experience, cloud familiarity, and project management certifications are preferred.
We are seeking an experienced Technical Project Manager to lead and deliver complex, enterprise-scale initiatives across engineering, infrastructure, and business teams. The role centers on project management leadership: planning, governance, risk management, and keeping stakeholders aligned. Familiarity with modern data and analytics platforms such as Databricks or Snowflake is a strong advantage, since many of our initiatives involve data platform implementations and migrations.
The ideal candidate takes projects from concept through execution and keeps cross-functional teams aligned. They are technical enough to work credibly with engineers and architects without needing to be one.
Key Responsibilities
Project Leadership
- Lead end-to-end delivery of technical projects, including platform implementations, migrations, and modernization efforts
- Define scope, timelines, milestones, and deliverables, and manage changes through a defined change control process
- Build and maintain detailed project plans, schedules, and resource plans
- Identify risks, issues, dependencies, and constraints early, and drive mitigation to closure
- Track budget and resource use against plan
- Give stakeholders and executive leadership clear, regular status reports
Stakeholder & Cross-Functional Coordination
- Align engineering, analytics, infrastructure, security, and business teams around shared goals and priorities
- Translate business needs into clear requirements, work breakdowns, and execution plans
- Facilitate project meetings, sprint ceremonies, working sessions, and decision forums
- Manage third-party vendors and consulting partners, including SOW deliverables and performance
- Escalate issues with clear options and recommendations
Technical Collaboration
- Act as the delivery liaison between technical teams and business stakeholders
- Partner with engineers and architects to understand the solution design well enough to plan, sequence, and track the work
- Ask the right questions to confirm that technical solutions meet business and functional requirements
- Make sure technical decisions, dependencies, and tradeoffs are documented and communicated
Governance & Delivery Excellence
- Establish and maintain project governance, standards, RAID logs, and documentation
- Ensure projects meet security, privacy, and regulatory requirements
- Run delivery with Agile, Waterfall, or hybrid methods, whichever fits the work
- Capture lessons learned and drive continuous improvement in delivery practices
Required Qualifications
- 5+ years of experience managing technical projects in enterprise environments
- A proven track record of delivering complex, multi-workstream projects on time and within scope
- Strong command of project management fundamentals: scope, schedule, budget, risk, and change management
- Experience with Agile and Waterfall delivery, and with tools such as Jira, Smartsheet, MS Project, or similar
- Enough technical fluency to work credibly with engineering teams on infrastructure, cloud, or data projects
- Excellent communication, stakeholder management, and leadership skills, including reporting to executives
- Ability to manage competing priorities in complex, fast-moving environments
Preferred Qualifications
- Experience delivering data and analytics projects, such as platform implementations, migrations, or data warehouse modernization
- Working understanding of big data platforms such as Databricks, Snowflake, or Spark/Hadoop ecosystems
- Familiarity with data pipeline concepts (ETL/ELT), data warehousing, and lakehouse architecture
- Exposure to cloud environments (AWS, Azure, or GCP)
- Awareness of data governance, data quality, and metadata management practices
- PMP, PMI-ACP, Certified ScrumMaster, or similar certifications (Databricks or Snowflake certifications a plus)
- Experience in regulated industries such as financial services or healthcare
What Success Looks Like
- Projects are delivered on time, within scope, and with measurable business outcomes
Stakeholders are engaged, informed, and confident in delivery progress
- Risks and dependencies are raised early and managed proactively
- Technical and business teams work with clear priorities and shared accountability
- Delivery practices get better with each project
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