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IT Product Manager - Data Analytics

Job Description

The IT Product Manager for Data Analytics is a key player in the team who is hands-on and brings together all aspects of a cloud data analytics platform implementation. The position requires strong customer empathy and focus, communication skills, technical skills, customer presence, industry knowledge, and exceptional delivery skills. This position will be responsible for the successful delivery of a transformational data analytics products.

Key Essential Job Duties & Responsibilities:

  • Establish prioritized roadmaps and implement strategies for executing with teams cross-functionally to build products that will advance the organization's productivity through data & analysis.
  • Create actionable, insights driven data products for a variety for strategic business initiatives, stakeholder goals, and user needs.
  • Drive innovation in how Wynn uses data to positively impact business strategies
  • Document feature requirements and detailed user stories; drive technical grooming sessions
  • Engage with business leaders and operational managers to define use cases and consistently deliver business functionalities on a cloud data analytics platform
  • Ensure on-time & high-quality deliverables from team
  • Work with project managers to manage all aspects of project lifecycle, including but not limited to quality assurance, risk management, schedule management and
  • Assist in understanding end user business needs & work with the team to convert those into technical specifications
  • Lead the engagement with the end users of the data analytics platform and other business stakeholders to ensure adoption and satisfaction
  • Create / provide thought-leadership to the organization internally and externally
  • Define and author needed artifacts, documentation, or patterns for the cloud data analytics platform in partnership with architects and project managers
  • Identify and prioritize key issues and opportunities for innovation.
  • Implement a user-centric design methodology, focusing on goal definition, design exploration, and idea refinement.
  • Communicate how users will interact with data products through multi-step user flows, designs, and prototypes.
  • Manage data sharing and logic with internal and externals partners

Qualifications

  • A minimum of ten (10) years of related data analytics experience; 5+ years in product management experience with building and delivering successful data products & capabilities; at least 2 full lifecycles of cloud-based data analytics implementations
  • Strong understanding of marketing and CRM processes in a B2C environment coupled with strong communication skills
  • Strong experience in data analysis using SQL
  • Knowledge on Azure data analytics tools and technologies, Snowflake, Databricks, AI/ML, Generative AI
  • Hands-on experience in managing agile-based projects in the data analytics, Business Intelligence, AI/ML space
  • The ability to work in a fast-paced, agile and collaborative cross-team environment
  • Strong grasp of cloud infrastructure, technologies and tools (preferably on Azure)
  • Highly analytical and collaborative qualities with strong technical, strategic and problem-solving skills

Preferred Qualifications:

  • Understanding of the security aspects of cloud architecture
  • Experience in programming languages such as R, Python, Spark etc.
  • Experience in the casino, gaming and/or hospitality sector

Average salary estimate

$135000 / YEARLY (est.)
min
max
$120000K
$150000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About IT Product Manager - Data Analytics, Wynn Resorts

Are you ready to take your career to the next level as an IT Product Manager for Data Analytics at Wynn in fabulous Las Vegas, NV? This pivotal role is not just about managing projects; it’s about shaping how data can transform our business strategies. You’ll be a hands-on leader, blending your deep technical knowledge with your ability to empathize with customers to deliver top-notch cloud data analytics products. Your mission will be to establish prioritized roadmaps that reflect the goals of various stakeholders while ensuring the team executes on innovative ideas that enhance productivity through data insights. You’ll create actionable data products that not only meet user needs but also drive strategic initiatives forward. Engaging directly with business leaders, you will define use cases and ensure the successful rollout of functionalities that delight users. With your robust experience in agile methodologies and cloud technology, you will guide the project lifecycle, ensuring high-quality outcomes every time. Plus, since communication is key, you’ll document requirements and lead grooming sessions that bridge the gap between technical specifications and business needs. Your role at Wynn is more than just a job; it’s an opportunity to influence how we harness the power of data and drive real change across our organization. If you have a knack for turning complex analytics into user-friendly solutions, we’d love to hear from you!

Frequently Asked Questions (FAQs) for IT Product Manager - Data Analytics Role at Wynn Resorts
What are the responsibilities of an IT Product Manager - Data Analytics at Wynn?

As an IT Product Manager - Data Analytics at Wynn, you'll be responsible for creating and managing prioritized roadmaps for data analytics products. Your duties will include engaging with business leaders to define use cases, overseeing the delivery of high-quality data products, and ensuring that all functionalities are aligned with business goals. You're also expected to lead agile project management practices and interface regularly with stakeholders to drive user adoption and satisfaction.

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What qualifications are needed for the IT Product Manager - Data Analytics position at Wynn?

To qualify for the IT Product Manager - Data Analytics position at Wynn, candidates should have at least ten years of related experience in data analytics, including a minimum of five years specifically in product management. Experience with cloud-based data implementations and strong expertise in SQL is crucial, alongside a good grasp of analytical tools like Azure and Snowflake. Familiarity with agile methodologies and the ability to thrive in a fast-paced environment is essential.

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What kind of projects will an IT Product Manager - Data Analytics at Wynn lead?

The IT Product Manager - Data Analytics at Wynn will lead transformational projects aimed at implementing data analytics solutions on a cloud platform. This includes driving innovation and identifying opportunities for leveraging data to enhance business strategies. You’ll oversee the entire project lifecycle, engage with users for feedback, and ensure deliverables meet high quality and timeliness standards.

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How does the IT Product Manager - Data Analytics role at Wynn foster user engagement?

User engagement is central to the IT Product Manager - Data Analytics role at Wynn. You’ll lead discussions with end users and business stakeholders to ensure the data analytics platform is meeting their needs. Your responsibilities will include documenting user requirements, facilitating feedback sessions, and employing user-centric design methodologies to refine how users interact with data products.

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What technologies should an IT Product Manager - Data Analytics at Wynn be familiar with?

An IT Product Manager - Data Analytics at Wynn should be well-versed in technologies such as Azure, Snowflake, and Databricks. Familiarity with AI/ML concepts and programming languages like R, Python, or Spark is also preferred. Understanding cloud infrastructure and security aspects plays a significant role in the successful implementation of data products.

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Common Interview Questions for IT Product Manager - Data Analytics
Can you explain your experience with cloud-based data analytics implementations?

When answering this question, highlight specific cloud platforms you've worked with, detailing projects you've led from conception to launch. Speak about your role in those projects, the technologies used, and any measurable impacts your work had on business outcomes.

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How do you prioritize features for a data analytics product?

Discuss your approach to prioritization, considering stakeholder feedback, user needs, and business objectives. You can mention frameworks like MoSCoW or the Value vs. Complexity matrix to illustrate how you make informed decisions.

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Describe a time when you had to manage a difficult stakeholder. How did you handle it?

Share a specific example that demonstrates your conflict resolution skills. Highlight how you listened to their concerns, ensured open lines of communication, and eventually reached a consensus that aligned with project goals.

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What role does user feedback play in your product management process?

Explain how you actively seek user feedback at various stages of product development. Talk about methods like surveys, usability tests, or interviews, and how that feedback has shaped products you've managed.

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Can you provide an example of a data-driven decision you made in your previous role?

Share a concrete example of how data informed your decision-making process. Discuss the data sources you relied on, the analysis you performed, and the outcome that resulted from the decision.

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What methodologies do you use to manage project lifecycles?

Detail your experience with agile methodologies, including Scrum or Kanban. Discuss how you plan sprints, conduct stand-ups, and review retrospectives to ensure continuous improvement in product delivery.

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How do you ensure your team stays on track with their deliverables?

Discuss your strategies for tracking progress, such as daily stand-ups, project timelines, and accountability check-ins. Highlight any tools you use to monitor task completion and facilitate communication.

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What is your approach to creating user stories?

Explain how you collaborate with stakeholders to draft clear and actionable user stories. Emphasize the importance of understanding user needs and how you incorporate acceptance criteria and validation methods.

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In your opinion, what are the essential skills for an IT Product Manager in data analytics?

Discuss how a combination of technical acumen, strong communication skills, strategic thinking, and an understanding of user experience are critical. Provide examples of how each skill contributes to project success.

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How do you stay current with trends and technologies in data analytics?

Mention your routines for professional development, such as attending industry conferences, participating in webinars, subscribing to relevant journals, or being part of online communities. Stress the importance of staying informed to bring innovative ideas to your role.

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What happens in Vegas may also happen in China. Wynn Resorts, the brainchild of gaming mogul and former Mirage Resorts chairman Steve Wynn, operates luxury casino resorts in Las Vegas and Macau, the only place in China where gambling is legal. The...

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Full-time, on-site
DATE POSTED
December 28, 2024

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