Data Product Manager

3 weeks ago

San Francisco, California, United States Manpower Group Inc. Full time
About the Role:

The Sr. Data Product Manager will collaborate closely with Analytics team members and other business stakeholders to translate enterprise-wide stakeholder needs into technical data, reporting and analytics requirements. This role will work 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.

Key Responsibilities:

• 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

Requirements:

• 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 (e.g. Tableau and Mixpanel)

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:

• AWS, Redshift, Tableau, Business Objects, Salesforce, SQL Server, Hive, Spark, SQL, and data architecture tools such as HDFS, Aerospike, and 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.

Physical Requirements:

Working conditions consist of a normal office environment. Work is primarily sedentary and requires extensive use of a computer and involves sitting for periods of approximately four hours. Work may require occasional standing, walking, kneeling, and reaching. Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently. Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers. Requires the ability to communicate with internal and/or external customers.

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