About nexawork
nexawork is a global leader in immersive experiences and cutting‑edge technology, delivering unforgettable digital journeys for millions of guests worldwide. From theme‑park adventures to streaming platforms, nexawork blends storytelling with advanced data‑driven insights to create magical moments that keep audiences engaged and delighted. Our commitment to innovation, sustainability, and inclusive culture makes nexawork a place where bold ideas thrive and careers flourish.
Why This Role Matters
As the Senior Data Product Manager – Data Modeling focus, you will be at the heart of nexawork’s data transformation strategy. You’ll design, build, and govern data products that power everything from guest personalization to operational efficiency across our diverse portfolio of experiences. This is a remote‑first position, giving you the flexibility to work from anywhere while collaborating with world‑class engineers, analysts, and business leaders.
Key Responsibilities
- Product Vision & Strategy: Define and execute a multi‑year roadmap for data products that align with nexawork’s strategic objectives, revenue targets, and guest‑experience goals.
- Data Modeling & Architecture: Lead the design of scalable, high‑performance data models, ensuring they support both real‑time analytics and long‑term reporting needs.
- Cross‑Functional Collaboration: Partner with engineering, finance, marketing, and operations teams to translate business requirements into technical specifications.
- Governance & Compliance: Establish data governance frameworks that meet stringent security, privacy, and regulatory standards (e.g., GDPR, CCPA).
- Project Delivery: Own end‑to‑end delivery of data initiatives, from concept through production, while managing timelines, budgets, and stakeholder expectations.
- Mentorship & Leadership: Coach a team of data engineers, analysts, and product owners, fostering a culture of continuous learning and best‑practice adoption.
- Performance Optimization: Monitor data pipeline health, identify bottlenecks, and implement improvements to ensure low latency and high availability.
- Innovation Advocacy: Stay ahead of emerging technologies (e.g., lakehouse architectures, AI/ML pipelines) and champion their adoption where they add value.
Essential Qualifications
- Minimum 5 years of hands‑on experience delivering data products at scale, preferably in a consumer‑focused or entertainment environment.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
- Proven track record in data product ownership, with a focus on financial data, analytics, or customer‑centric solutions.
- Deep expertise in data modeling, schema design, and data‑warehouse concepts.
- Strong technical proficiency with modern data platforms such as AWS, Snowflake, dbt, Terraform/CDK, and streaming technologies (e.g., Kafka, Kinesis).
- Demonstrated ability to translate complex business problems into clear, actionable data solutions.
- Excellent communication and influencing skills, capable of engaging both technical and non‑technical audiences.
Preferred Qualifications
- Master’s degree or MBA with a focus on analytics, data science, or business strategy.
- Experience in the hospitality, travel, or media industries, bringing domain knowledge that accelerates time‑to‑value.
- Hands‑on experience with machine learning pipelines and AI‑driven product features.
- Certifications such as AWS Certified Data Analytics, SnowPro Core, or similar.
- History of building and scaling data platforms in a remote or distributed team environment.
Core Skills & Competencies
- Analytical Thinking: Ability to dissect large data sets, identify patterns, and derive actionable insights.
- Strategic Mindset: Align data initiatives with broader business goals and articulate the ROI of data investments.
- Technical Leadership: Guide engineering teams through architectural decisions, code reviews, and best‑practice implementation.
- Collaboration: Build strong relationships across functional silos, fostering trust and shared ownership.
- Agile Delivery: Comfortable working in Scrum or Kanban frameworks, delivering incremental value in short cycles.
- Problem Solving: Proactively identify risks, propose mitigation strategies, and navigate ambiguity.
- Customer‑Centricity: Keep the guest experience at the forefront of every data product decision.
Career Growth & Learning Opportunities
nexawork invests heavily in the professional development of its people. In this role you will:
- Gain exposure to a portfolio of high‑visibility projects that impact millions of guests worldwide.
- Access a robust learning library, including courses on cloud architecture, advanced analytics, and leadership.
- Participate in mentorship programs, hackathons, and cross‑functional innovation labs.
- Have a clear promotion pathway—from Senior Data Product Manager to Director of Data Strategy, and eventually to VP of Data & Analytics.
- Receive sponsorship for industry conferences, certifications, and advanced degrees.
Work Environment & Culture at nexawork
Our remote‑first culture is built on trust, flexibility, and results‑driven performance. nexawork celebrates diversity, equity, and inclusion, ensuring every voice is heard and valued. Key cultural pillars include:
- Innovation First: We encourage experimentation and reward creative problem‑solving.
- Collaboration Anywhere: State‑of‑the‑art collaboration tools keep teams connected, no matter where they are located.
- Well‑Being: Comprehensive mental‑health resources, flexible work hours, and wellness stipends support a balanced life.
- Community Impact: nexawork’s sustainability initiatives and community outreach programs allow employees to give back.
Compensation, Perks & Benefits
nexawork offers a competitive total rewards package designed to attract top talent:
- Base salary commensurate with experience, typically ranging from $120,000 to $150,000 USD annually.
- Performance‑based bonuses and long‑term incentive plans (stock options or RSUs).
- Comprehensive health, dental, and vision coverage for employees and dependents.
- Generous paid time off, parental leave, and sabbatical options.
- Remote‑work stipend for home office setup, high‑speed internet, and ergonomic equipment.
- Professional development budget, tuition reimbursement, and certification support.
- Employee assistance programs, wellness challenges, and virtual social events.
Application Process & Next Steps
Ready to shape the future of data at nexawork? Follow these simple steps to apply:
- Prepare your updated resume, a concise cover letter highlighting relevant experience, and copies of your degree certificates.
- Gather a passport‑size photo and a digital signature for the application portal.
- Visit the official nexawork careers page, locate the “Senior Data Product Manager – Data Modeling” posting, and click “Apply”.
- Upload the required documents, complete the short questionnaire, and submit.
- Our talent acquisition team will review your submission and contact you within 5‑7 business days to schedule an initial interview.
Frequently Asked Questions
- What is the typical start date? Positions are filled on an immediate basis, with flexibility to accommodate your relocation or remote‑setup timeline.
- Is this role fully remote? Yes – you can work from any location within the United States, with occasional virtual team gatherings.
- Do you sponsor work visas? nexawork currently considers visa sponsorship on a case‑by‑case basis for highly qualified candidates.
- What tools will I use daily? AWS services, Snowflake, dbt, Terraform/CDK, Kafka/Kinesis, and modern BI platforms such as Looker or Tableau.
Join nexawork and Transform Data Into Magic
If you are a strategic thinker with a passion for turning raw data into compelling, business‑critical products, nexawork wants you on our team. Bring your expertise, curiosity, and collaborative spirit, and help us deliver the next generation of unforgettable experiences for guests around the globe.
Apply today and start your journey with nexawork!
Apply for this job