Sr. Data Product Manager - Data Quality & Governance

Sr. Data Product Manager - Data Quality & Governance *Candidates must independently possess the eligibility to work in the United States.

This position is not eligible for Visa sponsorship.This is a hybrid work model to allow for a more collaborative working environment.

This role requires 3 days onsite at one of the following 4 locations : (San Francisco, CA Scottsdale, AZ Chicago, IL New York, NY.

Overall Purpose The Sr. Data Product Manager collaborates closely with Analytics team members and other business stakeholders to 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 a bachelor's degree in 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 responsibility working 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 tuning SQL -Comfort with product analytics and data visualization tools () -Background and drug screen Preferred Qualifications -Master's degree in STEM or related field -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 areas such Product, Marketing, Data Science, Finance, Operations Employee must be able to perform essential functions and physical requirements of position with or without reasonable accommodation.

The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow instructions and perform other related duties as assigned by their supervisor.