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As a Technical Project Manager focused on data and AWS cloud, you will lead the planning, execution, and delivery of engineering efforts involving data infrastructure, data platforms, analytics, and cloud services. You will partner with data engineering, analytics, DevOps, product, security, and business stakeholders to deliver on key strategic initiatives. You are comfortable navigating ambiguity, managing dependencies across teams, and ensuring alignment between technical direction and business priorities.
Job Responsibility:
Lead end-to-end technical projects pertaining to AWS cloud, data platforms, data pipelines, ETL/ELT, analytics, and reporting
Define project scope, objectives, success criteria, deliverables, and timelines in collaboration with stakeholders
Create and maintain detailed project plans, roadmaps, dependency maps, risk & mitigation plans, status reports, and communication plans
Track and monitor project progress, managing changes to scope, schedule, and resources
Facilitate agile ceremonies (e.g., sprint planning, standups, retrospectives) or hybrid methodologies as appropriate
Serve as the bridge between technical teams (data engineering, DevOps, platform, security) and business stakeholders (product, analytics, operations)
Identify technical and organizational risks, escalate when needed, propose mitigation or contingency plans
Drive architectural and design discussions, ensure technical feasibility, tradeoff assessments, and alignment with cloud best practices
Oversee vendor, third-party, or external partner integrations and workstreams
Ensure compliance, security, governance, and operational readiness (e.g., data privacy, logging, monitoring, SLA) are baked into deliverables
Conduct post-implementation reviews, lessons learned, and process improvements
Present regularly to senior leadership on project status, challenges, KPIs, and outcomes
Requirements:
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience)
5+ to 8+ years of technical project / program management experience in cloud / data environments
Demonstrated experience working with AWS services (e.g., EC2, S3, Redshift / Snowflake, Glue, Lambda, RDS, VPC, IAM, CloudFormation / Terraform)
Strong background in data engineering / analytics / ETL, or working closely with data teams
Proven experience managing cross-functional, technical projects involving dependencies across multiple teams
Familiarity with agile, Scrum, Kanban, or hybrid project management methodologies
Excellent stakeholder management, communication, and influencing skills at all levels (engineers through executives)
Risk management, project governance, and escalation discipline
Strong organizational skills, ability to juggle multiple initiatives, and comfort working in ambiguity
Experience working with cloud infrastructure as code (IaC) tools (CloudFormation, Terraform, CDK)
Familiarity with data governance, security, compliance, logging, monitoring, and operational readiness
Experience working with external vendors / partners and managing integration projects
Nice to have:
Experience in regulated industries (gaming, gambling, fintech)
Experience with data lake architectures, analytics & BI platforms
Exposure to machine learning / AI / MLops pipelines
Experience in multi-region, high availability, scalable architectures
Knowledge of DevOps / SRE practices (CI/CD, observability, deployment pipelines)