Manager, Data & Analytics Product Owner

Own the strategy, roadmap, and evolution of SC Johnson Lifestyle Brands’ North America data and analytics platform to connect business needs with technology and improve decision-making.

Responsibilities

• Own the data and analytics strategy, roadmap, and priority setting aligned to corporate business objectives and functional needs.
• Act as the business Product Owner, leading requirements definition, prioritization, and backlog management while partnering with IT and functional teams to deliver new capabilities.
• Drive data quality, governance, and platform reliability with IT and functional report owners; investigate root causes and resolve data integrity and ingestion issues while identifying opportunities for continuous improvement.
• Partner with Sales, Marketing, Finance, Supply Chain, and other functions to spot high-value analytics opportunities, define requirements, and develop or enhance Power BI dashboards and analytical capabilities.
• Lead user adoption and analytics capability building through onboarding, training, communications, and establishing a network of Power BI Super Users.
• Identify and prioritize opportunities to leverage AI, machine learning, and emerging analytics capabilities to improve decision-making, automate workflows, and enhance user experience.
• Own business governance for platform access, security, and permissions, partnering with IT and functional leaders to ensure appropriate access and protection of sensitive data.
• Establish and track key product metrics to measure adoption, usage, data quality, user satisfaction, and business impact, using insights to continuously improve the analytics portfolio.
• Apply working knowledge of modern data architecture concepts including data models, data pipelines/integration, APIs, cloud data platforms, and semantic models; effectively partner with data engineering and IT teams.

Requirements

• Bachelor’s degree
• 7+ years of experience in data & analytics, business intelligence, analytics product management, commercial analytics, or a related business-facing function.
• Demonstrated experience owning data or analytics products end-to-end from business requirements through delivery and adoption.
• Must be authorized to work in the United States now and in the future without sponsorship.

Preferred Experiences and Skills

• Experience in Consumer Packaged Goods, retail, commercial analytics, or customer-facing analytics, with understanding of Sales, Marketing, and/or Supply Chain business processes.
• Ability to translate business needs into data, reporting, or analytical solutions and partner effectively with technical/IT teams.
• Familiarity with multiple business data sources such as retailer POS, syndicated data, ERP/SAP, demand planning, trade promotion, marketing/media, and customer inventory/forecast data.
• Strong understanding of Power BI (or comparable BI/visualization platforms) and translating analytical needs into effective reporting.
• Experience with data governance, data quality management, and data integration.
• Demonstrated product ownership/project leadership including prioritization, Agile ways of working, backlog management, and cross-functional delivery.
• Strong analytical thinking, communication, executive presentation, and storytelling skills to turn complex data into actionable insights.
• Influencing and change-management capability, including driving adoption and capability building without direct authority.
• Experience leveraging AI and advanced analytics to enhance business intelligence, automate analytical workflows, and improve decision-making.

Technologies

• Power BI
• AI
• Machine learning
• APIs
• Cloud data platforms
• Semantic models

Benefits

• Subsidized health insurance benefits package
• Competitive vacation + holiday bundle
• Generous retirement match + pre-tax savings options
• Dedicated volunteer time
• Pioneering events + experiences that build team connection (ask about Packaging Olympics, Bubble Bash, Ping Pong Tournament + more)
• Access to discounted/free company products
• The Company’s Total Rewards package is at or above industry levels

Job Details

• Location: San Francisco, CA (hybrid)
• Salary: USD 160,570 - 210,748 per year (expected base salary range)
• Work schedule: Full-Time, regular business hours; Monday-Friday office work environment
• Domestic travel: up to 10%
• Remote work: available once a week after 90-day onboarding period
• Relocation: eligible for domestic relocation
• Depending on job level, eligibility, and performance, total package may include profit sharing, a short-term incentive and/or long-term incentives
• Job description does not constitute a contract of employment; position remains at-will