Director, Data Services with Chicago Blackhawks in Chicago · IL

Chicago Blackhawks jobs
Sports Jobs in Chicago · IL
Technical Services: IT Database Management/Services
Revised: February 2021
Department: Business Strategy & Analytics (BSA)
Reports to: Vice President, Strategy & Analytics
Start Date: ASAP
Location: Chicago


Summary: 
The Business Strategy and Analytics group functions as an enterprise-wide service and corporate development group focused on delivering insights and analyses that drive both current performance and long-term corporate health (e.g., strategic planning, asset allocation, decision analyses). 
 
We are looking for an expert to design and implement complex data strategy and supporting infrastructure for the Chicago Blackhawks.  This individual will own the end-to-end data ecosystem to provide the BSA team and other functions with clean, usable, timely information to make decisions.  You will architect and oversee engineering of our data environments to ensure all relevant source system information is readily available and of high quality. This will include defining and implementing Data Governance, Master Data Management and automated data validation.  You will also be responsible for assessing and managing partners and 3rd party vendors to evaluate technical quality and suitability of platforms and identify opportunities for integration and process optimization.
 
Primary Responsibilities:
  •  Own the design and implementation of a best-in-class data analytics cloud environment
  • Establish and execute on an enterprise data strategy and structure in support of organizational objectives, developing short- and long-term roadmaps to achieve success
  • Confidently manage large datasets across disparate sources to facilitate a 360 perspective and maximize return on data assets
  • Continuously evaluate tech stack and capabilities through assessment of data assets and gaps; establish a roadmap for advancing these areas to successfully execute strategy
  • Standardize and streamline processes to onboard data sources that increase the value of underlying assets
  • Advance IT maturity, enabling data-driven decisions and automation opportunities that lead to reduced timelines and resources while elevating capabilities
  • Evaluate, select, and implement scalable and sustainable systems and solutions with SMEs to support data infrastructure, engineering, governance, analytics and science; ensuring data is aggregated, cleaned, formatted and readily available
  • Collaborate with internal and external stakeholders to understand business needs, define roadmaps and milestones for accountability, and optimize performance in all areas of the P&L
  • Define success metrics and drive a culture of data excellence across the organization
  • Implement quick, short-term wins for users while building infrastructure towards long-term vision
  • Manage financial performance of team and directly quantify impact of solutions
  • Consult with subject matter experts to understand and monitor business value created
  • Create and manage KPIs and dashboards to continuously review and report on performance
  • Determine build, buy, partner decisions based on internal resourcing capacity and capabilities
  • Evaluate technology solutions and provide strategic guidance on executing consumer-facing tech-forward experiences
  • Identify areas of opportunity for advanced Data Science tools including predictive modelling, risk analysis, and sentiment analysis
  • Oversee building and maintenance of internal financial and artificial intelligence models (i.e., supervised and unsupervised, reinforcement, NLP, recommender, ROI, forecasting, retention, propensity, churn, lead scoring, etc.)
  • Support development of the BSA function to enable efficient, timely and actionable data-driven decisions that enhance current and future performance across the organization
 
Qualifications & Requirements:
  • Degree in Computer Science, Engineering, Finance or related field
  • 5+ Years of data infrastructure, architecture, engineering, science, or development experience
  • 3+ Years of developing and utilizing cloud-based architecture to solve complex business needs
  • 3+ Years in developing data systems including use and development of APIs, data pipelines, OLTP to OLAP transformations, and data streaming
  • Proficiency in advanced analytics tools and software such as SQL, Python, R, Tableau, Power BI, Java, Scala, Spark, Hadoop, Snowflake, Kafka, etc.
  • Thorough understanding of current state and future trends in data architecture, connectivity, integration, cloud computing, analytics and science
  • Experience with enterprise-wide data analysis, automation, and data-focused integration solutions
  • Experience with agile development methodologies
  • Familiarity with CI/CD (Continuous Integration / Delivery) pipeline design and implementation
  • Ability to identify sources of value from analytics across business functions to define paths realizing that value
  • Business intuition and expertise with the ability to describe analytical processes, including when and why specific approaches are favored
  • Exceptional problem-solving skills with the power to develop creative and efficient solutions
  • Ability to use data visualization tools to effectively communicate complex ideas
  • Proven leadership over large multi-disciplinary teams
  • Capacity to lead and work collaboratively in a consultative role at all levels of an organization
  • Ability to manage priorities and coordinate tasks to solve day-to-day challenges in a dynamic environment
  • Experience in project management including scope development and productivity monitoring
  • Excellent communication skills with ability to demonstrate clear, concise articulation of scenarios, options, risks, mitigations, and recommendations
  • Values: Inclusive, team player, driven, humble, curious, innovative, positive, results-focused, accountable

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.