Project Manager

• Serve as the PM’s deputy, taking ownership of day-to-day project operations
• Facilitate communication between stakeholders, data engineers, data scientists, business analysts, and leadership
• Track project progress, identify and escalate risks, and recommend mitigation strategies
• Help manage project scope, schedule, and resources in coordination with the PM
• Define and enforce data governance policies, standards, and best practices
• Ensure data quality through validation rules, monitoring, and remediation procedures
• Maintain metadata repositories and data dictionaries
• Oversee data pipeline design, data ingestion, transformation, and storage
• Ensure integration with cloud-based environments (e.g., AWS, Azure, GCP) or on-premises systems
• Collaborate with data engineers to implement scalable and maintainable architectures
• Support the development, testing, deployment, and monitoring of predictive models
• Coordinate with data science teams to align modeling efforts with business objectives
• Establish and enforce model governance, versioning, and documentation practices
• Produce dashboards, reports, and briefing materials for stakeholders and leadership
• Translate technical findings into actionable business insights
• Assist in KPI definition, performance measurement, and continuous improvement
• Identify data or model risks (e.g., data drift, bias, security)
• Work with compliance and security teams to ensure regulatory adherence
• Implement controls, audits, and data protection strategies
• Mentor junior data professionals (analysts, engineers)
• Facilitate training or knowledge-sharing sessions on data best practices
• Help build a collaborative, high-performing team culture
• Develop and maintain technical documentation, SOPs, and process flows
• Lead user acceptance testing (UAT), quality assurance, and validation activities
• Implement continuous improvement practices within project delivery and data operations

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