Data Technology Program Manager - Hybrid

Incedo Inc.

South San Francisco (CA)

Hybrid

USD 140,000 - 190,000

Full time

27 hours ago

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Job summary

Incedo Inc. seeks an experienced Data Technology Program Manager to lead enterprise-scale data and technology transformation initiatives.

You will coordinate data platforms, modern data architectures, cloud adoption, AI/GenAI capabilities, and governance across business, data engineering, architecture, analytics, cloud, and security teams. The role requires strong collaboration with stakeholders to translate business objectives into actionable roadmaps, manage risks, and deliver secure, scalable

Qualifications

8+ years of technology program/project management experience delivering data-focused initiatives.
Strong experience managing enterprise data, analytics, data platform, cloud, or data modernization programs.
Experience with cross-functional technology teams including Data Engineering, Data Science, Cloud, Architecture, Security, and Analytics.
Strong understanding of data platforms, data engineering, cloud computing, APIs, data pipelines, analytics, and AI/ML ecosystems.
Experience with AWS, Azure, or GCP cloud environments.
Understanding of data governance, data quality, security, privacy, and enterprise architecture principles.
Experience in Agile/Scrum environments and managing multiple technology workstreams.
Strong governance, risk management, dependency management, and executive communication skills.
Excellent written and verbal communication skills.
Ability to work with both technical and non-technical stakeholders.

Responsibilities

Lead end-to-end delivery of large-scale data and technology programs from strategy through production rollout.
Define program objectives, scope, milestones, dependencies, and success criteria.
Partner with Data Engineering, Data Science, Cloud, Architecture, Product, Security, and Business teams to drive execution.
Lead data modernization initiatives involving legacy-to-cloud transformation and data pipelines.
Establish and manage program governance, including steering committees, RAID logs, and executive reporting.
Collaborate with enterprise architects to ensure alignment with data architecture, security, and deployment strategies.
Manage multiple workstreams and geographically distributed teams while maintaining delivery timelines.
Identify risks, dependencies, resource constraints, and drive mitigation plans.
Prioritize initiatives and establish realistic roadmaps and delivery commitments.
Drive adoption of modern data and AI capabilities to improve outcomes and efficiency.
Ensure data programs follow security, privacy, governance, and quality standards.
Track KPIs, budgets, schedules, and business outcomes.
Facilitate communication between technical teams and senior stakeholders.
Support continuous improvement of delivery processes and operating models.