Senior Project Manager

About the Role

Under minimal supervision, manage Data and Analytics projects including analytics services, data strategy, business intelligence and insights, machine learning/AI, data sciences, predictive modeling, forecasts, other statistical analyses, enterprise dashboards, and other strategic projects.

Responsibilities

• Responsible for the overall direction, coordination, execution, and implementation of Analytics projects to ensure that project goals are accomplished within the specified time frame and funding parameters.
• Utilize a project management practice which supports frequent adaptation, inspection, self-organization, and a set of engineering practices that provide quick delivery of high-quality software needs.
• Deliver within a framework that supports the key characteristics of an analytical project, such as the need to do exploratory analysis.
• Have a deep understanding of Analytics to drive clarity from ambiguity and the capability to drive consensus across leaders and concerted progress across multiple teams.
• Prepare and manage project-related management plans in support of obtaining business benefits (includes program/project planning, schedule development, and scope management).
• Ensure flexibility and adaptability with project management methodology based on the project requirements (CRISP-DM, Agile, hybrid: including the lifecycle of data science/artificial intelligence/machine learning: training, experimentation, deployment, inference; lifecycle of Data Engineering: consuming data, data transformations, and analytics).
• Serve as a scrum master to work across data science and data analytics to facilitate planning and retrospectives, update stories, and keep data science informed.
• Have a conceptual knowledge of analytics tools, data science methodologies, and their application in solving complex business problems.
• Ability and initiative to learn and research new concepts, ideas, and technologies quickly.
• Employ strong problem-solving and process development abilities.
• Strong communication, interpersonal, emotional intelligence, and presentation skills.
• Ability to quickly build collaborative relationships with project stakeholders and project team members.
• Ensure project results are clearly articulated within scope and delivered business benefits are of the highest caliber.
• Perform resource capacity analysis and resource plan management in partnership with department leadership.
• Define and track project milestones while developing, maintaining, and reporting on an overall integrated delivery plan.
• Serve as subject matter expert in briefing stakeholders in aspects of project progress related to work completion, scope, cost, and quality; represent the project in various project governance and inter-department forums.
• Facilitate the procurement and sourcing process by defining deliverables, managing procurement team tasks, and ensuring negotiation activities are tracked and documented.
• Validate financial forecasts and provide on-going reconciliation of resources and other related project expenditures.
• Publish scheduled project status reports.
• The position will report to the PMO but will take direction from Leadership within the Analytics and Strategic Business Services segment.

Requirements

• This position requires at least 8 years of project management experience in managing and delivering analytics projects, with personal accountability for delivering to time and cost for complex projects.
• Within those eight years, preference for a minimum of 5 years' experience managing projects that include the following specializations:
  • Languages, including Python, R, SQL, and Tableau;
  • Data Analysis;
  • Data Mining;
  • Statistics;
  • Data Visualization;
  • Data Reports;
  • Data Modeling;
  • Database Systems.
• Have an understanding of and experience managing projects using cloud solutions (AWS).
• Experience using CRISP-DM methodology, which supports Analytics best practices and supports project replication, Agile, and hybrid project management methodologies.
• Sound business and technical acumen. Project Managers must understand the fundamental concepts of analytics technical environments.
• Preference for those with a retail background and a proven ability to inspire teamwork, earn trust, facilitate collaboration, and remove barriers to ensure project delivery.
• Proficient in MS Office suite: Excel, PowerPoint, Project, Visio; understanding of analytical tool stack, Jira, SharePoint, Bitbucket, and Clarity is a plus.

Qualifications

• Bachelor’s Degree in Analytics, Computer Science, Information Systems, or related field, or equivalent experience (10+ years).
• Master’s Level degree is highly preferred.
• PMP Certification, Prince2, Scrum/Agile, SAFe project management certification, or equivalent Project Management certification required.