at Early Warning Services in Chicago, Illinois, United States
Job Description
At Early Warning, we've powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle, Paze, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.
Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.
Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.
Overall Purpose
The Sr. Data Product Manager collaborates closely with Analytics team members and other business stakeholdersto translate enterprise-wide stakeholder needs into technical data, reporting and analytics requirements, and works across technology teams to facilitate the development of internal-facing data products or capabilities(including building basic reporting, diving into strategic analyses, or iterating on complex data science models).
Essential Functions:
Articulate vision, roadmap and technical requirements for data and analytics capabilities, processes and tools to enable prioritized use cases across the enterprise
Develop and maintain the roadmap for a key pillar of the CDO Organization data roadmap; scope and prioritize activities based on business and user impact which defines product enhancements for both short-term and long-term
Gain a deep understanding of end-user needs and experience (internal data consumers), identify and fill product gaps and generate new ideas that grow adoption and improve user experience
Define requirements for the Data Technology team on data processing and storage to facilitate a variety of analytics use cases such as effective analysis and reporting, data science exploration and model development, and data quality and anomaly detection
Set and achieve success metrics to meaningfully improve business results, focusing on what success looks like for our internal data consumers and how accessible data and insights could help them deliver enterprise value
Act as a product evangelist to build awareness, understanding, adoption, and buy-in
Support the company's commitment to risk management and protect the integrity and confidentiality of systems and data. Oversee the integration of strong data governance, risk and security controls.
Minimum Qualifications
Education and/or experience typically obtained through completion of abachelor's degreein STEM or related field
9+ years' experience or related experience in product management, data management, or consulting with a proven record of high performance, preferably with experience building data and analytics products
5+ years' experience with direct hands-on responsibilityworking with data or data teams (data engineers, data scientists, software developers, data analysts, etc.), business stakeholders and end-users
Strong business intuition and the technical ability to understand, design, and explain complex product and data strategies to both business and technical audiences
Proficiency with software development methodologies such as Agile and experience working with Scrum teams and working with Agile tools such as Jira
Strong project and stakeholder management with the ability to work effectively with cross functional teams with diverse skill sets across all levels of the organization
Excellent communications skills, both oral and written
Hands-on experience writing and tuningSQL
Comfort with product analytics and data visualization tools (e.g. Tableau and Mixpanel)
Background and drug screen
Preferred Qualifications
Master's degreein STEM or relatedfield
Deep understanding of foundational data and analytics concepts
Proven track record of managing all aspects of a successful product throughout its lifecycle, with experience in launching brand new products
Strong understanding of data management requirements in a regulated industry
Experience working with terabyte size datasets
Experience with change management and moving from on-prem to cloud
Hands-on experience with Python or R
Understanding of data science tools and concepts and experience directly enabling data science teams or delivering data science use cases
Experience with: Salesforce, Google Analytics, SQL Server, Hive, Spark, SQL, and data architecture tools such as HDFS, Aerospike, ElasticSearch, Kafka
Deep understanding of best practices and unique data and analytics requirements across functional... For full info follow application link.
Early Warning is an equal opportunity employer that takes affirmative action to employ, and advance in employment, qualified minorities, women, individuals with disabilities and covered veterans.
