Summary

We are looking for a Technical Project Manager who will be responsible for managing projects across EDA. This includes overseeing external projects in areas such as Data Strategy and Operations, Data Engineering and Data Analytics in addition to internal team management initiatives. This individual must be versatile, overseeing priority efforts while also building project structure/standards for the team(s).

In this role, you’ll:

1. Create and maintain internal workflows and processes
2. Work with EDA leadership to complete capacity planning and project commitments every fiscal half
3. Create and maintain project-specific documentation including charters, scoping, RACIs and updates 
4. Manage, maintain and enhance the EDA team’s ceremonies (i.e. sprint planning, grooming, standups, etc) using JIRA projects and Confluence documentation
5. Partner with team leaders to break down larger epics into smaller, dependency-driven issues as well as define issue-level assignments and staffing
6. Drive EDA team members towards the planning and delivery of sprints as well as providing analysis like burn-downs and velocity
7. Work with other program and project managers within the larger Business Technology, Data and Analytics team on key cross-functional initiatives

We’re looking for candidates who have: 

1. Previous experience within a data or analytics team as a scrum master or project manager
2. Hands-on experience with ceremonies like backlog grooming, sprint planning and retrospectives 
3. Mid-level Jira skills administering company-managed projects, epics and issues including users, roles, screens, issue types, workflows, components and reports
4. Experience identifying and managing project risk
5. Strong technical /non-technical documentation writing skills including project scopes, executive summaries and status reports
6. Experience with data governance and data management programs 
7. High-level understanding of ETL and reverse ETL pipelines 
8. Experience with analytics workflows that ultimately result in insights generation
9. Able to adapt in an environment where the business changes rapidly

Nice to have experience:

1. Understanding of gitflow and Github repositories 
2. Familiarity with key AWS services and concepts like S3 and IAM as well as Infrastructure as Service platforms like Terraform
3. Familiarity with common enterprise business systems like Marketo, Salesforce and NetSuite
4. Understanding of key enterprise business processes like Go-To-Market and Quote-To-Cash
5. Familiarity with ingestion and integration tools like Fivetran and Workato 
6. Knowledge of data warehouses with Snowflake, Databricks and/or Redshift
7. Business Intelligence (BI) platforms such as Tableau and Looker
8. Experience integrating Slack Notifications and Workflows with Jira projects
9. Experience with Jira Plans and advanced integrations with Toolchains for Github and Confluence
10. Basic SQL and/or JQL skills

Technologies we use:

1. GTM and Revenue: Marketo, Salesforce, NetSuite, Adaptive Insights
2. Product / User Analytics: GA360, Pendo
3. Data Engineering: Fivetran, Dagster, Airflow, Python
4. Business Intelligence, Data Modeling & Querying: dbt, SQL, Tableau, DataGrip
5. Data Storage & Compute: AWS Redshift, AWS S3, Databricks
6. Project Management & Documentation: Jira, Confluence

Skills

• Analytical Thinking
• AWS
• Database Management
• SQL
• Writing