Mid-Level IT Project Manager - Data & Analytics (Hybrid)

ManhattanLife Insurance & Annuity Company

Houston (TX)

Hybrid

USD 85,000 - 110,000

Full time

14 days+

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Benefits offered by this job

Flexible schedules (Fridays)

Free parking

Professional development

Wellness program

Company-wide events

Job summary

ManhattanLife Insurance and Annuity Company in Houston is seeking a Mid-Level IT Project Manager to lead enterprise data and analytics initiatives. You will coordinate cross-functional teams from initiation through implementation, ensuring governance, budget, and on-time delivery.

Responsibilities include managing data pipelines, governance, and reporting projects, while aligning with business priorities and security standards.

Qualifications

Bachelor’s degree in Information Technology, Computer Science, Data Management, Business Administration, or related field, or equivalent experience.
Five or more years of project-management experience supporting technology, data, analytics, or enterprise platform initiatives.
Experience managing cross-functional projects involving business teams, technical teams, vendors, and executive stakeholders.
Experience managing project scope, schedules, budgets, risks, issues, dependencies, testing, and implementation activities.
Working knowledge of agile, waterfall, and hybrid delivery methods.
Experience with project-management tools such as Azure DevOps, Jira, Microsoft Project, Confluence, SharePoint, or similar platforms.

Responsibilities

Develop and maintain project charters, schedules, budgets, resource plans, and governance structures.
Manage project scope, milestones, risks, issues, dependencies, decisions, and change requests.
Coordinate work across data engineering, analytics, architecture, master data management, governance, infrastructure, and business teams.
Support initiatives involving Microsoft Fabric, data pipelines, data warehouses, lakehouses, semantic models, dashboards, and enterprise reporting.
Coordinate Party Master, Product Master, Customer 360, data quality, metadata, and data-governance activities.
Facilitate requirements, design, testing, data validation, implementation, and production-readiness activities.
Prepare clear project status reports and executive communications.
Facilitate project team, workstream, steering committee, and vendor meetings.
Track project budgets, resource capacity, vendor deliverables, and implementation readiness.
Ensure projects comply with applicable architecture, cybersecurity, compliance, data-governance, and PMO standards.
Support organizational change, stakeholder readiness, training, and transition to operational support.
Conduct project closure reviews and document lessons learned.
Perform other duties and special projects as assigned.