Energy Analyst managing sustainability data and financial reports for clients in Australia. Engaging with stakeholders to support net zero goals and energy optimization.
About the role
- Senior Manager, Data Analytics driving predictive insights across multiple business units for content optimization at Adobe. Leading analytics initiatives and developing a high-performing team to enhance data-driven decision-making and drive business model evolution.
Responsibilities
- Own and evolve a portfolio-level intelligence framework that measures content value, utilization, and performance across multiple businesses, informing planning and investment.
- Assess content supply health across depth, fragmentation, contributor and geographic diversity, metadata, and coverage to drive sourcing priorities and readiness for emerging customer needs.
- Identify and prioritize strategic content gaps by analyzing search behavior, market signals, enterprise requirements, and generative prompt patterns, shaping acquisition and production roadmaps.
- Lead advanced analytics initiatives to optimize supply-side economics, including ranking efficacy, contributor yield, marketplace liquidity, and monetization pathways.
- Develop predictive and forecasting models that anticipate shifts in demand, creative trends, AI training requirements, and revenue contribution, guiding multi-year content strategies.
- Lead all aspects of building visualization dashboards, important metrics, and reporting frameworks that surface sourcing efficiency, contributor performance, and content economic value.
- Partner cross-functionally across product, engineering, content, finance, and enterprise teams to operationalize insights, evolve business models, and accelerate real-time predictive decisions.
- Lead, develop, and mentor a hard-working analytics team, strengthening talent capabilities, driving analytical rigor, and maturing organizational intelligence practices at scale.
Requirements
- 10+ years of experience in Business Intelligence, Analytics, or Data Science within digital media, marketplaces, or eCommerce environments.
- Strong analytical and statistical skills with the ability to structure ambiguous business problems into measurable frameworks.
- Proficiency in SQL (or Hive), Python or R, ETL development, and cloud-based data platforms (e.g., Databricks).
- Proven experience building and operationalizing predictive models, forecasting systems, and segmentation frameworks.
- Experience with cloud-based data platforms (e.g., Databricks) and advanced statistical modeling, and designing executive-ready dashboards using Tableau or equivalent.
- Demonstrated ability to influence senior leadership through clear data storytelling and strategic recommendations.
- Experience leading data-informed transformation and multi-year, cross-business initiatives using emerging AI/ML capabilities.
Benefits
- Health insurance
- 401(k) matching
- Paid time off
- Flexible work arrangements
- Professional development opportunities
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