Sr. Manager, Technical Delivery

Responsibilities

• Lead, develop, and mentor a team of Solutions Architects and Consultants serving as Snowflake implementation, optimization, development, and delivery experts.
• Play an active role in sourcing, screening candidates, and managing the interview process.
• Provide delivery quality oversight and guidance for Snowflake engagements, ensuring adherence to technical and delivery best practices.
• Oversee the successful design, implementation, and deployment of complex AI and Generative AI (GenAI) solutions leveraging the Snowflake platform.
• Work with Professional Services Practice Directors and Sales Account Team on sales pursuits, including project scoping, code assessments, pricing services, creating statements of work, and providing strategic guidance on productionalizing AI and GenAI use cases.
• Develop methodologies to improve services delivery.
• Provide guidance on resolving customer-specific technical challenges.
• Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.
• Present methodologies and capabilities to internal teams, external partners, and customers.
• Lead teams executing complex migrations from legacy systems to the Snowflake platform.
• Collaborate with customers and system integrators to understand requirements, design robust migration strategies, oversee seamless transitions, and act as a strategic advisor.

Requirements

• Minimum 10 years of experience working with customers in a pre-sales or post-sales technical role.
• Minimum 5 years of people management experience, including mentoring, coaching, and developing teams.
• Minimum 5 years of experience in selling professional services, scoping large projects, and writing statements of work.
• Proven experience guiding enterprise customers on data strategies for building, deploying, and operationalizing GenAI engagements.
• Extensive knowledge of and experience with large-scale database technology (e.g. Oracle, Teradata, Netezza, Greenplum).
• Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase).
• Familiarity and experience with common data integration and data transformation tools (e.g. Informatica, DataStage, Talend, Matillion).
• Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Business Objects, Tableau).
• University degree in computer science, engineering, mathematics or related fields, or equivalent experience.
• Outstanding skills presenting to both technical and executive audiences.
• Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools.
• Ability to mentor and guide technical professionals deploying rapidly evolving features.
• Strong skills in databases, data warehouses, and data processing.
• Extensive hands-on expertise with SQL and SQL analytics.
• Experience and track record of success selling data and/or analytics software to enterprise customers.
• Scripting experience with Python, Ruby, Perl, Bash.
• Ability and flexibility to travel to work with customers on-site up to 25% of the time.

Nice-to-Haves

• Experience with Snowflake platform.
• Hands-on expertise with AI and Generative AI solutions.