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Tech Stack
Tools & technologiesSQLTableau
About the role
Key responsibilities & impact- Articulate vision, roadmap and technical requirements for data and analytics capabilities, processes and tools to enable prioritized use cases across the enterprise or business unit
- Act as the primary liaison between Data Science and ML Ops teams, translating business and technical requirements into actionable platform capabilities, migration plans, and backlog priorities.
- Lead requirements gathering, prioritization, and execution planning for the migration of data science workloads, models, and analytical processes to the enterprise ML Ops workbench.
- Manage and prioritize a balanced product backlog that includes new features, technical debt, operational risks, platform enhancements, and defect remediation, ensuring alignment with Product-Oriented Thinking and Delivery (POTD) principles and business outcomes.
- Partner with engineering and platform teams to identify, troubleshoot, and resolve data availability, data quality, and platform integration issues impacting data science and analytics use cases.
- Define and monitor adoption, performance, and value realization metrics associated with data science platform modernization and migration efforts.
- Advocate for data management best practices, governance requirements, and operational excellence to ensure trusted, scalable, and compliant use of enterprise data assets.
- Develop and maintain the data product roadmap; scopes and prioritizes activities based on the CDO, 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.
Requirements
What you’ll need- 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)
- Background and drug screen
Benefits
Comp & perks- Healthcare Coverage – Competitive medical (PPO/HDHP), dental, and vision plans as well as company contributions to your Health Savings Account (HSA) or pre-tax savings through flexible spending accounts (FSA) for commuting, health & dependent care expenses.
- 401(k) Retirement Plan – Featuring a 100% Company Safe Harbor Match on your first 6% deferral immediately upon eligibility.
- Paid Time Off – Flexible Time Off for Exempt (salaried) employees, as well as generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day.
- 12 weeks of Paid Parental Leave
- Maven Family Planning – provides support through your Parenting journey including egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work.
- And SO much more!
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data managementproduct managementdata analyticsSQLdata visualizationdata governancedata qualityAgile methodologiesScrumdata processing
Soft Skills
communicationproject managementstakeholder managementbusiness intuitioncross-functional collaborationproblem-solvingleadershipuser experience focusprioritizationadvocacy