Technical Project Manager

Experience: 15+ years of total experience with 8+ years in project/program management

About the Role:

USEReady is hiring a highly skilled Technical Project Manager to lead and deliver Data Engineering, BI, Analytics, and Gen AI projects across global clients.

The ideal candidate has strong experience in the Oil & Gas industry, excellent project delivery skills, and deep understanding of cloud data platforms.

Key Responsibilities:

- Lead end-to-end delivery of data engineering, BI, analytics, and cloud migration projects.

- Define project scope, milestones, timelines, and resource plans.

- Manage budgets, risk, compliance, and project governance.

- Deliver using Agile/Scrum or hybrid methodologies.

- Translate business needs into technical requirements.

- Manage cross-functional teams - Data Engineers, BI Developers, Analysts, QA.

- Provide C-suite updates, monthly/quarterly reviews, and performance reports.

- Oversee BI projects using Power BI or Tableau.

- Manage cloud platforms such as Snowflake, Databricks, Azure Synapse, BigQuery.

- Ensure data quality, security, and adherence to compliance standards.

Required Skills

- Excellent communication & interpersonal skills

- Strong stakeholder and customer management

- People & team leadership

- Risk & compliance management

- Contract & vendor management

- Resource planning & project scheduling

- Experience with tools: JIRA, Azure DevOps, MS Project/Plan, Monday.com, Smartsheet

Qualifications:

- Bachelor's degree in Computer Science, Information Systems or related field with MBA

- 15+ years of total experience with 8+ years in project/program management

- Strong experience in the Oil & Gas domain

Preferred Certifications:

- PMP / PRINCE2 / CSM

- Cloud certifications (AWS/Azure/GCP)

- Tableau / Power BI certifications (DA-100, PL-300, etc.)

Technical Expertise

- Cloud platforms: AWS, Azure, GCP

- BI Tools: Power BI, Tableau

- Data platforms: Snowflake, Databricks, Azure Synapse, BigQuery

- ETL/ELT pipelines, data modeling, governance, security, privacy