Project Manager, Data & Analytics

AmaWaterways, LLC•Calabasas, CA

2d•$140,000 - $155,000

About The Position

At AmaWaterways, we believe meaningful careers begin with purpose, passion and a shared commitment to delivering unforgettable experiences. For those who value curiosity, connection and personal enrichment, AmaWaterways offers the opportunity to help craft meaningful river journeys that invite travelers to follow their own current. Built on a foundation of heartfelt hospitality, we treat our guests—and each other—with genuine care, warmth and respect. AmaWaterways fosters a collaborative environment both onboard our ships and across our global network of offices, where team members grow together, support one another and take pride in upholding the high standards and thoughtful service our company is known for. We invite talented, motivated professionals to explore our career opportunities and begin their journey with AmaWaterways today. SUMMARY: The Project Manager, Data & Analytics is responsible for leading the planning, execution, and delivery of data and analytics initiatives that support AmaWaterways’ Value Creation Plan and Long-Range Plan objectives. This role manages the end-to-end project lifecycle for data platform buildouts, analytics product development, business intelligence tooling, and data governance programs, coordinating across Engineering, Analytics, Business, and external consulting partners. Working at the intersection of business strategy and technical execution, this role ensures that data and analytics investments are delivered on time, within scope, and calibrated to drive measurable performance improvement across the enterprise. The ideal candidate brings strong technical program management experience in data-intensive environments, familiarity with modern data platforms(Snowflake) and BI tools(Tableau, Snowflake,etc.), and the ability to translate between business stakeholders and technical teams. The Project Manager, Data & Analytics will work closely with (dotted line) to the head of PMO who reports to the CTO.

Requirements

Strong technical program management experience in data-intensive environments.
Familiarity with modern data platforms (Snowflake).
Familiarity with BI tools (Tableau, Snowflake, etc.).
Ability to translate between business stakeholders and technical teams.
Experience managing the end-to-end project lifecycle for data platform and analytics initiatives.
Experience coordinating with Engineering, Analytics, and Architecture teams using Agile methodologies.
Experience driving delivery of analytics products and services.
Experience managing the technical roadmap for data platform and analytics platform evolution.
Experience supporting the implementation and maturation of data governance frameworks.
Experience coordinating master data management initiatives.
Experience tracking data governance maturity.
Experience serving as a project management lead for operating model transformation.
Experience managing stakeholder interviews, documentation reviews, and collaborative assessments.
Experience tracking implementation of target operating model recommendations.
Experience coordinating workshops and discussions.
Experience managing delivery of business KPI dashboards and metrics trackers.
Experience coordinating the formalization of data inputs, metric definitions, and automated data feeds.
Experience partnering with business stakeholders to translate analytical requirements into actionable data products.
Experience project-managing AI-related initiatives.
Experience coordinating with data science and engineering teams on advanced analytics product delivery.
Experience tracking AI alignment roadmaps.
Experience directing cross-functional coordination.
Experience maintaining portfolio management visibility.
Analytical Thinking – Synthesizes complex information; leverages data, experience, and sound judgment to design practical and effective solutions.
Quality & Accountability – Delivers accurate, thoughtful work; applies feedback to improve outcomes; maintains high standards while balancing efficiency.
Dependability – Takes ownership of responsibilities; follows through on commitments; meets deadlines; communicates proactively when circumstances shift.
Collaboration & Teamwork – Partners effectively across teams and functions; values diverse viewpoints; builds trust; advances shared goals and collective success.
Business Acumen – Understands the broader business impact of decisions; considers financial, market, and operational implications; aligns work with strategic priorities.

Nice To Haves

Familiarity with external consulting partners.
Experience with AI-Powered Agent Assist (vendor selection, proof-of-concept, implementation).

Responsibilities

Manage the end-to-end project lifecycle for data platform and analytics initiatives, including the Enterprise Data Warehouse, business intelligence dashboards, automated data feeds, and reporting infrastructure.
Coordinate with Engineering, Analytics, and Architecture teams to plan and execute data product development, data on-boarding from source systems, and platform enhancements using Agile methodologies.
Drive delivery of analytics products and services, including Tableau dashboards, KPI reporting frameworks, and advanced analytics capabilities that support VCP and LRP performance visibility.
Manage the technical roadmap for data platform and analytics platform evolution, ensuring alignment between near-term deliverables and the target-state architecture (data architecture, advanced analytics architecture, AI platform alignment).
Support the implementation and maturation of data governance frameworks, including data stewardship RACI models, report governance standards, and data quality processes.
Coordinate master data management initiatives and gold reference model development to ensure accurate, congruent data across the enterprise.
Track data governance maturity against the target operating model, identifying gaps and driving remediation plans across business and technology stakeholders.
Serve as the project management lead for the Data & Analytics operating model transformation, coordinating discovery, analysis, and activation phases with external consulting partners.
Manage stakeholder interview schedules, documentation reviews, and collaborative assessments across all eight operating model areas: business/technology strategy, performance improvement metrics, products & services, platform & architecture, roadmaps, organization design & talent, collaboration model, governance, and portfolio management & funding.
Track implementation of target operating model recommendations, ensuring change initiatives are tied to measurable performance improvement and key outcomes.
Coordinate on-site workshops and off-site discussions to socialize findings, present recommendations, and refine activation plans with leadership.
Manage delivery of business KPI dashboards and metrics trackers, including website analytics, consumer acquisition metrics, revenue management data, and VCP performance indicators.
Coordinate the formalization of data inputs, metric definitions, and automated data feeds to ensure reporting accuracy and timeliness.
Partner with business stakeholders across Marketing, Sales, Revenue Management, and Operations to translate analytical requirements into actionable data products.
Project-manage AI-related initiatives including AI-Powered Agent Assist (vendor selection, proof-of-concept, implementation) and AI platform integration planning.
Coordinate with data science and engineering teams on advanced analytics product delivery, ensuring proper data pipelines, model infrastructure, and deployment workflows.
Track the AI alignment roadmap and ensure AI initiatives are integrated with the broader data platform strategy.
Direct cross-functional coordination between Data & Analytics, IT, Marketing, Sales, Finance, and Operations teams to align data initiatives with business priorities.
Maintain portfolio management visibility across all data and analytics investments, providing regular status updates, budget tracking, and risk assessments to leadership.