Data Automation Project Manager

Summary

The Project Manager, Data Automation is responsible for all departmental projects in support of key divisional objectives. The ideal candidate will have a strong background in managing complex projects, with focus on automating data processes and driving efficiency within the organization. This role requires a strategic thinker with excellent communication skills who can manage multiple stakeholders and deliver project on time and within budget. The Project Manager, Data Automation oversees the design, development, and implementation of data automation solutions to help cleanse the data that feeds transactional and business intelligence systems. This role will lead the organization in how we automate, collect, transform, analyze and report data associated for all products throughout their lifecycle.

Essential Functions

• Lead and manage end-to-end data automation projects, including planning, execution, and delivery.
• Lead professional and technical staff in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems assigned to them.
• Develop project plans and timelines, ensuring alignment with business objectives.
• Monitor project progress, identify risks, and implement mitigation strategies.
• Coordinate cross-functional teams and ensure effective communication and collaboration.
• Track project performance and provide regular updates to stakeholders and leadership.
• Develops associates through mentoring, coaching, and challenging assignments.
• Guides the development and use of standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.
• Communicates and promotes the code of ethics and business conduct.
• Ensures completion of required company compliance training programs.
• Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies.
• Stays current through personal development and professional and industry organizations.

Additional Functions

• Leads a team of data automation engineers, analysts, data stewards, and developers.
• Defines and executes the data automation strategy and roadmap for the organization.
• Identifies and evaluates the data automation needs and opportunities for different business units and functions.
• Designs and develops data automation solutions using various technologies, such as scripting languages, databases, APIs, and cloud services.
• Ensures the quality, security, and compliance of the data automation solutions and the data sources.
• Monitors and troubleshoots the data automation solutions, resolving any issues or errors.
• Provides training and support to the end users of the data automation solutions.

Qualifications

• A bachelor's degree or higher in computer science, information systems, data science, or a related field.
• 5 years of experience in project management, with focus on data automation, data engineering, and data analysis.
• Proven track record of managing multiple projects simultaneously and delivering results on time.
• Hands-on experience managing cloud data platforms (e.g., Redshift, Azure Synapse, Google BigQuery, etc,)
• Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc.
• Proficiency in Enterprise Service Bus (ESB) platforms, such as Dell Boomi, Workato, SAP BTP, etc.
• Familiarity with data modeling tools.
• Expertise in BI visualization tools such as Tableau, Power BI, Looker, or similar.
• Proficiency in project management software (e.g., JIRA, Clarizen, etc.)
• Strong knowledge and skills in data management, data quality, data governance, and data security.
• Strong leadership, communication, collaboration, and problem-solving skills.
• Ability to manage multiple projects and prioritize tasks effectively.
• Ability to work independently and in a team environment.
• Ability to learn new technologies and tools quickly.
• The ability to handle stressful situations.
• Highly developed business acuity and acumen.
• Strong critical thinking and decision-making skills.