WHAT DOES A DATA PROJECT MANAGER DO?
Published: October 9, 2024 - The Data Project Manager leads the development and implementation of IT strategies, managing big data and technology projects from requirement gathering to project planning, resource allocation, quality assurance, and delivery. This role oversees the definition, development, installation, and maintenance of cloud-based technical solutions, coordinating with a technical applications team to ensure alignment with business needs. Additional responsibilities include researching integration technologies, managing platform maintenance, updating software versions, resolving security tickets, and overseeing user permissions and site details.
A Review of Professional Skills and Functions for Data Project Manager
1. Data Project Manager Duties
- Project Management: Plan and execute project plans for priority data migrations per release, in line with current program plan milestones.
- Documentation: Document planning requirements for the end-to-end migrations, ensuring both source and destination development plans align with migration deliverables.
- Integration Management: Work with Project Managers, Business Analysts, Test Managers, Technical Architects, Developers, and Data Architects to manage the end-to-end delivery of integrations.
- Communication: Support project managers from other program workstreams to ensure clear communication of progress, risks/issues, and mitigations.
- Vendor Management: Support the iPaaS/Data Program Manager in managing vendor resource burndown.
- Stakeholder Engagement: Support business users responsible for signing off Data Migration results.
- Revenue Generation: Drive revenue by deploying solutions and providing other billable services such as training, mentoring, and customization on products to new and existing clients, ensuring that quarterly and annual revenue targets are met and exceeded.
- Discovery and Scoping: Lead discovery and scoping processes with key stakeholders to identify the problem definition at a technical level based on business requirements and expected outcomes for Data Analytics projects in the Professional Services organization.
- Deployment Transition: Ensure successful transition from pre-sales engagements to deployment.
- Product Feedback: Provide feedback to the product organization on which features and processes are needed in the field.
- Client Relationship Management: Establish strong working relationships with clients, act as a consultant, work through escalation channels, and share best practices.
- Organizational Development: Help build an excellent Professional Services organization in EMEA focused on sustainable client engagements.
2. Data Project Manager Details
- Technical Support: Support the Head of Security Risk Management with technical advice and support to help develop and manage GSRA.
- Vendor Management: Support the Head of Security Risk Management in managing the development of GSRA with third-party vendors, including providing home team advice on all technical programming aspects of GSRA development.
- Data Integration: Review data sources and create a model for integrating the data into GSRA.
- Threat Database Management: Create and manage a threat database that constantly evaluates the data coming in, giving the data provider a score for each data point.
- Threat Intelligence Collaboration: Work closely with the Intelligence team to ensure threat data utilized by SRM is Amazon-specific.
- Platform Development Oversight: Oversee the continued development of the Global Site Risk Assessment platform to align with the requirements of Security Risk Management, Global Intelligence Unit, and Travel Risk programs.
- Scoping Documentation: Create scoping documents that outline the changes required for the platform.
- User Experience Feedback: Provide feedback on user experience and design aesthetic.
- Data Science Utilization: Utilize cutting-edge data science and machine learning algorithms to inform customers of risks that require input.
- Development Management: Manage the development of the GSRA on behalf of the SRM team.
- Vendor Selection: Manage vendor selection for development scope.
3. Data Project Manager Responsibilities
- Collaboration: Collaboratively work with Bardess technical leadership, technologists, PMs, Finance, BI Solution Architects, and client PMs, executives, and stakeholders.
- Team Leadership: Lead project team members to ensure the coordination of the team's efforts to deliver on time and satisfy customer requirements.
- Professional Management: Manage experienced professionals who exercise latitude and independence in assignments.
- Team Direction: Lead, direct, and review the work of a team that exercises latitude and independence in assignments.
- Leadership Oversight: Provide strong leadership and oversight for all BI & Analytics initiatives for high-touch Bardess client initiatives.
- Relationship Management: Build and manage strong internal team as well as customer relationships.
- Strategic Guidance: Provide strategic guidance and collaboration to team members.
- Project Completion: Lead projects to completion, identifying risks and resolving issues to ensure delivery.
- Time Tracking Coordination: Coordinate time tracking updates and update project budget trackers.
- Forecasting and Reporting: Provide accurate forecasts and quality reporting on client project initiatives.
- Administrative Support: Provide administrative relief to the team wherever possible.
- Continuous Improvement: Identify areas for continuous improvement (e.g., define and document onboarding, status tracking and reporting, time tracking procedures, BI & Analytics Project Management framework, and best practices to execute BI & A projects) and execute.
4. Data Project Manager Job Summary
- IT Strategy Development: Participate in the development of IT strategies.
- Project Management: Manage effectively and efficiently the demand for big data and technology projects of the organization, including but not restricted to requirement gathering, project planning and governance, resource addressing, quality assurance (QA), delivery, and support.
- Project Oversight: Oversee and participate in the definition and management of one or more business projects, which include the development, installation, and maintenance of a cloud-based technical solution, including any kind of software, cloud platform, or third-party tool, using technical knowledge and proactively suggesting improvements to add business value.
- Application Analysis: Analyze applications to ensure that all systems developed meet business needs and specifications.
- Technical Team Management: Manage a technical applications team responsible for one or more software and application development projects, coordinating resource assignments with other projects within the DGTT.
- Team Supervision: Supervise team members and prioritize and assign tasks to ensure that the team’s resources are used effectively.
- Development Interaction: Interact with developers regarding the day-to-day development of the platform, ensuring that they have the resources they need to complete the job.
- Technology Research: Research Amazon-specific integration technologies and leverage Amazon builder tools.
- Maintenance Management: Manage the maintenance of GSRA.
- Version Control: Ensure that Anvil is up to date and reflects the current version of the project.
- InfoSec Resolution: Resolve all InfoSec tickets.
- User Management: Manage user permissions and site details.
5. Data Project Manager Accountabilities
- Project Coordination: Plans, directs, and coordinates activities for complex projects through the development of project plans intended to accomplish tasks related to scope, schedule, and budget.
- Collaboration: Partners with project sponsors and cross-functional teams to plan and develop scope, deliverables, resources, work plans, budget, and timing.
- Program Organization: Organizes programs and activities in accordance with the mission and goals of the organization.
- Risk Identification: Works with other program/project managers to identify risks and opportunities across projects.
- Risk Management: Defines, analyzes, evaluates, and mitigates project risks.
- Change Management Support: Assists the office of change management in defining changes to business processes and procedures that will result from the program.
- Reporting: Produces status reports for management and stakeholders to ensure consistent visibility for program and project teams.
- Stakeholder Communication: Communicates with customers, suppliers, and/or third-party teams to ensure objectives are met.
- Meeting Facilitation: Schedules and facilitates project meetings and collaboration across multiple cross-functional teams.
- Obstacle Removal: Identifies and removes obstacles and impediments to ensure team objectives are met.
- Process Improvement: Identifies best practices and needed process improvements.