Job Summary

Job Description

Core Responsibilities
• Build and continuously refine an enterprise optimization portfolio by combining quantitative analysis, operational intelligence, stakeholder input, and strategic priorities.
• Identify opportunities to improve platform performance, engineering efficiency, cost, revenue, reliability, customer outcomes, and organizational effectiveness; quantify baselines, value potential, tradeoffs, and implementation
complexity.
• Translate ambiguous problems into clear hypotheses, analytical plans, technical program charters, roadmaps, milestones, dependencies, decision points, and success measures.
• Partner closely with Engineering teams to validate opportunities, shape solution approaches, sequence work, manage risks and dependencies and drive execution through measurable outcomes.
• Apply exploratory analysis, experimentation, forecasting, segmentation, anomaly detection, causal reasoning, and other analytical methods to reveal root causes and determine where intervention will create the greatest value.
• Establish trusted baselines, leading and lagging indicators, benefit hypotheses, and measurement frameworks; track realized impact and adjusted programs when results do not meet expectations.
• Develop business cases and executive recommendations that connect technical choices to customer, commercial, financial, and operational outcomes.
• Identify, evaluate, and drive responsible deployment of AI and large language model capabilities that improve workflows, decision support, engineering productivity, customer experiences, or operating leverage.
• Lead rapid pilots and proofs of value, define guardrails and evaluation criteria, and partner with technical owners to advance validated ideas into scalable production capabilities.
• Create clear operating mechanisms—including dashboards, reviews, decision logs, risk registers, and escalation paths—that improve transparency, accountability, and decision speed.
• Partner across Product, Commercial, Finance, Operations, and Engineering to align incentives, resolve tradeoffs,
and ensure optimization initiatives address end-to-end business needs.
• Own change-management strategies for major initiatives, including stakeholder analysis, readiness assessment, communications, adoption planning, training, feedback loops, and reinforcement.
• Communicate complex analyses, technical constraints, choices, progress, and outcomes through concise narratives tailored to executive, commercial, product, and engineering audiences.
• Act as an enterprise change agent: challenge assumptions constructively, create momentum for new approaches, mentor others in structured problem solving, and exercise independent judgment in matters of significance.

What You Bring
• Bachelor's degree in computer science, Engineering, Data Science, Statistics, Operations Research, Economics, Business Analytics, or a related technical or quantitative field. Advanced degree is a plus.
• 10+ years of relevant experience spanning technical program management, data analytics, product or engineering operations, business transformation, or a related discipline, including experience operating as a senior individual
contributor.
• Demonstrated ability to use business intelligence tools and analytical methods to independently explore data, validate opportunities and define outcome measures.
• Proven success leading complex, multi-team technical programs from ideation through delivery, adoption, and benefits realization without direct authority.
• Strong quantitative problem-solving skills, including experience with experimentation, forecasting, KPI design, root-cause analysis, and evaluation of uncertainty and tradeoffs.
• Working knowledge of modern software, cloud, data, and AI systems sufficient to engage credibly with architects and engineers and translate between technical and business contexts.
• Exceptional ability to bring structure to ambiguity, frame decisions, prioritize competing opportunities, and move diverse stakeholders toward action.
• Outstanding executive communication, facilitation, negotiation, and data-storytelling skills, with the ability to make complex issues clear and decision ready.
• Deep change-management expertise, including stakeholder engagement, organizational readiness, adoption strategy, communications, and sustained behavior change.
• Demonstrated curiosity, resilience, and a change-agent mindset, with a record of challenging the status quo constructively and delivering measurable impact.

Preferred Experience
• Experience in advertising technology, digital media, streaming, marketplaces, or other high-volume, data-intensive technology environments.
• Experience optimizing domains such as platform performance, cloud or infrastructure cost, operational workflows, inventory and yield, campaign outcomes, reliability, or engineering productivity.
• Experience building optimization portfolios, value cases, prioritization frameworks, OKRs, and benefits-realization mechanisms across multiple teams.
• Hands-on experience identifying, evaluating, piloting, or deploying AI and LLM capabilities, including attention to data quality, security, privacy, governance, evaluation, and human oversight.
• Familiarity with agile and product operating models, software delivery practices, data platforms, experimentation, and technology portfolio governance.

Success in This Role
• A prioritized pipeline of optimization opportunities is maintained with clear evidence, ownership, value potential, and decision criteria.
• Cross-functional technical programs move from ambiguity and ideation to aligned plans, decisive execution, and sustained adoption.
• Initiatives deliver measurable improvements in business outcomes, customer value, engineering effectiveness, cost, performance, or operational efficiency.
• AI and LLM use cases advance through disciplined evaluation into responsible, scalable capabilities where evidence supports investment.
• Stakeholders understand the case for change, leaders have clear decision visibility, and new ways of working are adopted and sustained.

Additional Role Requirements
• Regular, consistent, and punctual attendance. Must be able to work nights and weekends or variable schedules as necessary.
• Other duties and responsibilities as assigned.

Disclaimer: This information describes the general nature and level of work performed by employees in this role. It is not intended to be
a comprehensive inventory of all duties, responsibilities, or qualification

Skills

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Education

Certifications (if applicable)

Relevant Work Experience