Senior IT Project Manager (Snowflake and AWS)

Senior IT Project Manager (Snowflake and AWS) at MMD Services Senior IT Project Manager (Snowflake and AWS) at MMD Services in River Grove, Illinois Posted in 1 day ago.

Type:

full-time

Job Description:

Our client is a global leader in the hospitality industry, operating a portfolio of over 1,000 subsidiaries and affiliated brands across the world. Recognized for their commitment to exceptional guest experiences and continuous innovation, this organization is investing heavily in a large-scale Digital Transformation program

• modernizing their data platform architecture and enterprise systems to power the next generation of hospitality.

We are seeking a driven, highly organized Senior Project Manager with hands-on experience managing Snowflake, AI, and AWS projects to join our client's Data Platform Architecture team. This individual will embed within a fast-moving agile environment and play a critical role in keeping multiple workstreams on track across technical and business teams. This is not a back-seat PM role. You will own standups, sprint planning, resource coordination, and reporting

• working side-by-side with data engineers, data scientists, business intelligence teams, and other PMs to ensure alignment and delivery across a complex portfolio of initiatives.

The team operates in 2-week sprints and is actively running Snowflake migrations on

AWS, AI/ML

initiatives, and other major data platform efforts. Candidates who have directly managed projects in these technology areas will be strongly preferred. Key Responsibilities Create, manage, and execute project plans across multiple concurrent workstreams including Snowflake migrations, AWS infrastructure, and AI/ML initiatives in support of a broader Digital Transformation program Own agile ceremonies including sprint planning, standups, retrospectives, and backlog grooming in partnership with technical leads Coordinate resources across multiple teams; manage and communicate priorities when initiatives compete for capacity Define project scope, goals, and deliverables in collaboration with senior stakeholders and program leadership Track sprint progress (2-week cycles, story-point based); identify scope creep and enforce change control processes Develop and maintain monthly and quarterly KPI reporting mechanisms, keeping leadership informed of project health and trends Proactively identify risks, dependencies, and blockers across functions and interdependent workstreams; drive resolution Manage relationships and communication between internal teams (data engineering, data science, BI) and external vendors including IBM and Snowflake Partner with other PMs across the organization to coordinate shared resources and enterprise-level efforts, including ERP/Opera Cloud implementation touchpoints Compile and present clear status updates and program-level reporting for stakeholders at multiple levels of the organization Maintain comprehensive project documentation using Jira, Confluence, and Smartsheet Required Qualifications 5+ years of project management experience, including managing multiple parallel projects in an Agile/Scrum environment Demonstrated experience managing Snowflake, AWS, and/or AI/ML projects

• this is a critical requirement Strong working knowledge of cloud data platform ecosystems; able to speak the language of data engineers and hold technical conversations at a project level Proficiency with Jira, Confluence, and the Atlassian suite
• must be comfortable as a day-to-day power user Experience with Smartsheet for project tracking and reporting Functional understanding of data platform technologies such as Tableau, Cognos, and/or ThoughtSpot Proven ability to manage conflicting priorities and resource allocation across multiple teams simultaneously Strong communication skills
• ability to ask hard questions, push back on scope, and hold stakeholders accountable Self-starter mentality; able to get up to speed quickly and begin contributing from day one Experience with KPI development, sprint metrics, and recurring status reporting Preferred Qualifications Background working directly embedded on data engineering or data architecture teams Experience managing AI/ML model deployment or data science pipeline projects Familiarity with ServiceNow Experience in hospitality or similarly complex, multi-brand enterprise environments Exposure to enterprise system implementations (e.

g., Opera Cloud or similar ERP/PMS platforms) MMD Services Inc. is an equal opportunity employer. All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, alienage, or any other protected classification, in accordance with applicable federal, state, and local laws.