Data Product Manager

4 weeks ago

San Francisco, California, United States Experis Full time
Job Title: Data Product Manager - Financial Services

We are seeking a highly skilled Data Product Manager to join our team at Experis. As a Data Product Manager, you will be responsible for collaborating with our Analytics team and other business stakeholders to translate enterprise-wide stakeholder needs into technical data, reporting, and analytics requirements.

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.
  • 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.
  • 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.
  • 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.

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.
  • 5+ years' experience with direct hands-on responsibility working with data or data teams (data engineers, data scientists, software developers, data analysts, etc.).
  • 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.
  • Hands-on experience writing and tuning SQL.
  • Comfort with product analytics and data visualization tools (e.g. Tableau and Mixpanel).
  • 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 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.
  • 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.

Working Conditions:

The work environment is a normal office setting. The job primarily involves sitting for periods of approximately four hours, requiring extensive use of a computer and involving visual acuity and dexterity to view, prepare, and manipulate documents and office equipment, including personal computers.

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