Description

Key Responsibilities

• Lead end-to-end data analytics and cloud technology programs, including planning, execution, delivery, and stakeholder communication.
• Manage multiple technical workstreams involving Data Engineering, Analytics, Data Science, Product, and Engineering teams.
• Develop program roadmaps, milestones, schedules, dependencies, resource plans, and delivery objectives.
• Drive data and analytics initiatives leveraging GCP services and cloud-native technologies.
• Work closely with technical teams using Google BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, Composer, and related GCP services.
• Partner with analytics teams to define KPIs, metrics, dashboards, reporting requirements, and data insights.
• Use strong SQL and data analytics knowledge to understand data requirements, validate metrics, and support technical decision-making.
• Coordinate development of enterprise data platforms, data pipelines, reporting solutions, and analytics products.
• Identify and manage technical risks, issues, dependencies, and mitigation plans.
• Establish program governance, status reporting, KPIs, and operating mechanisms.
• Communicate complex technical concepts and program status to senior leadership and business stakeholders.
• Drive Agile ceremonies, sprint planning, backlog prioritization, release planning, and program-level delivery.
• Ensure alignment between business objectives and technical implementation.
• Track program performance, delivery metrics, milestones, and overall execution against objectives.
• Facilitate architecture and technical discussions across engineering and data teams.

Required Qualifications

• 8+ years of experience in Technical Program Management, Program Management, or a similar technical leadership role.
• Proven experience managing Data Analytics, Data Platform, Cloud, or Data Engineering programs.
• Strong hands-on understanding of Google Cloud Platform (GCP).
• Strong experience with Google BigQuery.
• Strong SQL knowledge and ability to work with analytical datasets.
• Experience with Looker, Looker Studio, Tableau, Power BI, or similar BI platforms.
• Strong understanding of data pipelines, ETL/ELT, data warehouses, data lakes, and data engineering concepts.
• Experience working closely with Data Engineers, Data Scientists, Software Engineers, and Product teams.
• Strong understanding of KPIs, metrics, dashboards, reporting, and data-driven decision-making.
• Proven experience managing complex cross-functional programs with multiple dependencies.
• Strong Agile/Scrum experience.
• Excellent communication, leadership, stakeholder management, and executive presentation skills.

Preferred Qualifications

• Experience with additional GCP services such as Dataflow, Pub/Sub, Cloud Storage, Dataproc, Cloud Composer, Vertex AI, or Cloud Run.
• Experience with Python or another programming language.
• Experience with data governance, data quality, metadata management, or master data.
• Experience managing AI/ML or Generative AI programs.
• Experience with enterprise-scale cloud migration or modernization programs.
• Experience working with distributed/global engineering teams.
• PMP, PgMP, SAFe, Scrum Master, or similar certification is a plus

Key Skills

Education

Bachelor's degree