Databricks
Sr. Field Technical Program Manager, Forward Deployed Engineering
Rol remoto de Professional Services Operations con fit claro de ubicación del candidato.
PublicadoAgregado recientemente
Países elegibles1 país aceptado
Señal de seniorityLead
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Estados Unidos
Resumen del rol
Sr. Field Technical Program Manager, Forward Deployed Engineering
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Key Responsibilities
- Customer Outcomes: Own delivering customer outcomes for approximately five concurrent customer projects, ensuring high customer satisfaction
- Project Planning: Develop detailed technical project plans from finalized proposals or statements of work setting specific milestones, objectives, and key results.
- Project Execution & Risk Management: Drive measurable weekly progress with detailed tracking and by mitigating risks to project objectives, ensuring projects stay on track.
- Stakeholder Management: Facilitate effective meetings across technical and non-technical stakeholders, from engineering standups to executive steering committees.
- Leadership: Adapt to changing project requirements and priorities, proactively steering projects around challenges and collaborating across Professional Services, Engineering, and Sales teams.
- Technical Knowledge: Leverage and expand your understanding of data platform technologies and processes, such as data lakes, data governance, data quality, ETLs, and migration best practices, to drive customer outcomes faster.
- Process Improvement: Define and implement new processes and operational cadences to improve the efficiency and effectiveness of the Professional Services team.
Minimum Qualifications
- Experience: 5+ years of experience in Technical Program Management, preferably in a B2B SaaS, cloud, or data engineering/analytics company.
- Technical Background: A Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Must be comfortable diving deep into technical topics with Solution Architects and Engineers.
- Program Management Skills: Proven ability to manage complex, cross-functional technical programs and deliver results in a fast-paced environment. Strong understanding of Agile and other program management methodologies.
- Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences (from engineers to executives) and build consensus.
- Domain Knowledge: Foundational knowledge of the data and AI landscape (e.g., data warehousing, data lakes, ETL, streaming, data science, machine learning).
Preferred Qualifications
- Certifications: PMP, CSM, or related program management certification.
- Databricks/Spark: Hands-on experience with the Data Intelligence Platforms or Data frameworks like Apache Spark™.
- Cloud Platforms: Experience with public cloud provider solutions (AWS, Azure, or GCP).
- Customer-Facing Experience: Prior experience in a customer-facing implementation role (e.g., Technical Project Manager, Solutions Architect, Technical Account Manager, Professional Services, Product Manager).
- GenAI/ML Experience: Experience delivering programs related to AI, Machine Learning, or Generative AI.
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