# Project Manager

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Seoul, South Korea
**Role:** Technical Program Management
**Experience:** 5+ years
**Skills:** Smartsheet, Project Modeling, Snowflake, Data Engineering, Earned Value Management, Critical Path Methodology, Snowpro Core, PMP, AI/ML, Lakehouse, Work Breakdown Structures
**Posted:** 2026-08-25

> Own delivery governance for complex fixed-fee technical implementations, managing scope, schedule, cost, resources, and cross-functional alignment. The role requires 5–8 years of technical project management experience, strong EVM/CPM expertise, Snowflake knowledge, and SnowPro Core certification.

## Job Description

## Responsibilities
- Manage complex fixed-fee technical implementations with rigorous governance.
- Serve as the accountable owner for project delivery, scope, schedule, cost, and outcomes.
- Create granular Work Breakdown Structures (WBS) and assign effort and resources to specific tasks.
- Apply Critical Path Methodology (CPM) and Earned Value Management (EVM) to forecast risks and identify schedule or cost variances.
- Coordinate cross-functional stakeholders and personnel, including contacts outside the immediate area of expertise.
- Present lessons-learned materials to regional teams to improve pre-sales and scoping practices.
- Support pre-sales activities by identifying upsell opportunities and contributing to service scoping.

## Requirements
- Typically 5–8 years of related experience in technical project management.
- Typically 2–5 years of field experience in services delivery or technical implementation.
- Bachelor's degree required; master's degree preferred.
- Advanced Smartsheet and project modeling skills.
- Ability to query Snowflake metadata for consumption reporting.
- Demonstrated proficiency in EVM and CPM.
- SnowPro Core certification required.
- Professional working proficiency in English.

## Nice-to-haves
- Data engineering experience.
- PMP certification.
- Experience governing complex AI/ML and lakehouse technical lifecycles.

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