Senior Data Product Owner

Delaware, Inc.
Buffalo, NY, United States
22 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$82,600.0 - $111,500.0
Working hours
Regular working hours

Tech stack

Third Normal Form Agile Methodology Airflow Information Systems Computer Engineering Data Warehousing Relational Databases Entity Relationship Models Python (Programming Language) Machine Learning Standard Sql SQL Databases
+5 more
Tableau (Software) UML Information Technology Star Schema Databricks

Job description

  • Own delivery timelines for data warehousing projects using Databricks Lakehouse, Airflow, and Tableau
  • Gather and document pipeline and product requirements through stakeholder interviews and iterative discovery
  • Translate business needs into technical specifications including schemas, data models, and pipeline requirements
  • Drive pipeline delivery by tracking issues, resolving blockers, escalating risks, and coordinating vendor and stakeholder communication
  • Leverage SQL and data modeling skills to profile data, support pipeline design, and align available data to business needs
  • Coordinate user acceptance testing, create user documentation, answer questions, and provide training for stakeholders
  • Foster cross-functional collaboration and collect user feedback to refine product features and improve data product quality

Requirements

  • Bachelor’s degree in computer science, information systems, computer systems engineering, business administration, mathematics, or a similar field
  • Minimum of 4 years of experience as a Product Owner or similar role in the data and analytics domain, with demonstrated experience rapidly orienting to new business units, tailoring solutions to their unique requirements
  • Experience delivering data insights by writing SQL
  • Experience with Python or dashboarding tools like Tableau
  • Adept with data modelling approaches such as 3NF, Star Schema, and OBT
  • Experience around Fact vs a Dimension and a Type 2 Slowly Changing Dimension
  • Experience with Agile methodologies and a track record of successful product delivery
  • Knowledge of technical specification and use case story documentation, such as UML, Domain and Entity-Relationship Modeling, and Business Process Notation
  • Experience working with relational databases and complex data types; machine learning and AI experience is a plus
  • Knowledge of hospitality, food & beverage, gaming, and the sports industry is a plus
  • Must be legally authorized to work in the US without sponsorship

Benefits & conditions

Minimum - Anticipated Maximum Base Salary: $82,600 - $111,500 / year

In addition to base salary, we offer an annual bonus plan based on company and individual performance, or a role-based, uncapped sales incentive plan. The advertised pay range represents what we believe at the time of this job posting, that we would be willing to pay for this position. Only in special circumstances, where a candidate has education, training, or experience that far exceeds the requirements for the position, would we consider paying higher than the stated range. Information on our comprehensive benefits package can be found at https://careers.delawarenorth.com/benefits/.

What we offer

At Delaware North, we care about our team members’ personal and professional journeys. These are just some of the benefits we offer:

  • Medical, dental, and vision insurance
  • 401(k) with up to 4% company match
  • Annual performance bonus based on level, as well as individual, company, and location performance
  • Paid vacation days and holidays
  • Paid parental bonding leave
  • Tuition and/or professional certification reimbursement
  • Generous friends-and-family discounts at many of our hotels and resorts

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.hospitalityonline.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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