Senior Technical Product Project Manager

Senior Technical Product / Project Manager - REMOTE
Location: Remote (Must be located in EST)

Job Description

We are looking for a Senior Technical Product / Project Manager to lead the migration of Plotly Dash Enterprise from Microsoft Azure to Google Cloud Platform (GCP).

The initial six months will focus primarily on project management and migration delivery. Following the migration, the role will transition toward product management, including stakeholder engagement, roadmap development, and platform enhancements.

Dash Enterprise is a deployment platform for data scientists and engineers that enables Python, R, and Julia code to be developed into production web applications. Candidates should be comfortable working with code-first analytics platforms rather than traditional drag-and-drop BI tools.

Responsibilities

• Build and manage the integrated migration plan, including milestones, dependencies, risks, and status reporting to leadership.
• Partner with the team managing the existing Azure instance and application owners to develop an application and user inventory and identify undocumented dependencies.
• Coordinate cross-team dependencies with infrastructure, architecture, security, networking, and provisioning groups (ISTS).
• Manage key migration risks, including:
  • Latency parity (target of less than 1-second screen load times).
  • Resiliency and disaster recovery requirements.
  • Data readiness in GCP.
  • Dual-cloud costs and dual-licensing exposure during the transition.
• Define cutover, rollback, and communication plans to minimize business disruption.
• Lead backlog grooming, sprint planning, and release coordination with cloud engineers and contract consultants.
• Maintain a working relationship with the Plotly vendor regarding roadmap, licensing model changes, and architecture guidance.
• Prepare migration playbooks, runbooks, roadmaps, and stakeholder updates.
• Identify, prioritize, and lead the delivery of features and enhancements to meet functional and non-functional requirements.
• Maintain a stakeholder-driven roadmap and backlog for the platform.
• Work with engineering teams on upgrades, compliance, support processes, application optimization, and onboarding as platform usage grows.

Required Qualifications

• 8+ years of experience in technical product or program management.
• Experience delivering at least one end-to-end cloud migration or replatforming project.
• 5+ years of Agile experience.
• Experience with cloud-based, vendor-provided products.
• Experience managing product backlogs and roadmaps across multiple business and technical stakeholders.
• Experience gathering customer requirements, prioritizing them, and overseeing implementation with engineering teams.
• Strong project planning, timeline management, risk management, dependency management, and change management skills in a large, regulated enterprise environment.
• Excellent written and verbal communication skills, including experience communicating with executives and engineering teams.
• PMP, SAFe, or comparable certification.
• Experience working with large enterprise organizations similar in size and complexity to CVS.
• Must be located in EST, CST, or MST time zones.
• Healthcare or healthcare insurance experience.

Preferred Qualifications

• Experience with data science or analytics platforms such as Plotly Dash, Streamlit, Shiny, or Jupyter.
• Cloud migration experience involving Plotly Dash Enterprise, Tableau, or Power BI.
• Experience with Kubernetes-based deployments.
• Experience with Snowflake-to-BigQuery or similar data platform migrations.
• Background in retail pharmacy, healthcare, or security-restricted data environments.
• Experience in other highly regulated industries, such as telecommunications, financial services, or insurance.

Important Requirement

Candidates must have experience managing a cloud migration involving a vendor-based analytics product, preferably Plotly Dash Enterprise. Experience with Tableau or Power BI migration is also relevant.

The project supports the broader Retail transition from Snowflake to BigQuery.