Team Lead Jobs

About The Position

Requirements

• 10+ years of experience in marketing analytics, performance marketing, digital analytics, or data-driven growth roles, with a track record of driving measurable impact across acquisition, engagement, and conversion.
• Strong understanding of the modern data and mar-tech landscape, with the ability to collaborate with data engineering, BI, and marketing operations to ensure proper instrumentation, tracking, and data quality.
• Proven ability to design and operationalize advanced measurement systems, including attribution models, incrementality frameworks, causal inference approaches, geo experiments, and multi-touch testing strategies.
• Deep experience partnering with channel marketing leaders to shape strategy, guide investment decisions, and translate data into actions that improve ROI, scale, and efficiency.
• Demonstrated ability to embed insights into operating rhythms, enabling repeatable decisioning frameworks, channel playbooks, testing cadences, and performance management routines.
• Hands-on experience with modern marketing and data ecosystems, including ad platform analytics, marketing automation systems, tracking/tagging infrastructure, and cloud-based data environments.
• Demonstrated success building and leading high-performing analytics teams, with experience establishing methodologies, governance standards, and repeatable processes that scale across channels.
• Comfort operating in ambiguity, using structured thinking, hypothesis-driven approaches, and business judgment to clarify priorities and drive actionable outcomes.
• Strong executive-facing communication and influence skills, including the ability to frame hypotheses, shape priorities, and guide senior stakeholders toward insight-backed decisions.
• Leadership, communication, and stakeholder management excellence, with a proven ability to elevate analytical rigor, mentor talent, and build trust with marketing partners.

Nice To Haves

• Experience in EdTech, marketplace, or multi-channel performance environments
• Familiarity with MMM, bidding optimization, revenue forecasting.
• Deep expertise in core marketing analytics disciplines, including funnel diagnostics, marginal ROI analysis, campaign optimization, forecasting, MMM, audience and creative analytics, and channel scaling frameworks.
• Advanced measurement and testing capabilities, including uplift modeling, incrementality testing, causal inference, quasi-experimental approaches (e.g., diff-in-diff, synthetic controls), and geo-based holdouts.
• Hands-on analytical fluency with AI and ML techniques (predictive bidding, clustering, creative intelligence, GenAI insight automation), with the ability to identify and operationalize AI-driven levers that elevate channel performance.

Responsibilities

• Serve as the senior analytics leader partnering directly with Channel Marketing executives to shape strategy, optimize investment, and identify growth opportunities.
• Translate complex channel performance data into actionable insights, elevating understanding of funnel dynamics, ROI drivers, and emerging performance patterns.
• Challenge assumptions, frame hypotheses, and guide the team toward the highest impact questions; influence prioritization of campaigns, budgets, and channel mix.
• Deliver compelling, executive-ready narratives that support decision-making for business reviews, priority-setting, and investment planning.
• Own measurement frameworks including attribution, incrementality, causal inference, and experimentation.
• Build and scale test-and-learn practices—A/B testing, geo experiments, MMM enhancements, creative testing, and more.
• Develop frameworks quantifying true lift and channel contribution to guide investment with confidence.
• Partner with data engineering and BI teams to strengthen data quality, instrumentation, and analytical readiness.
• Lead analytics informing targeting, bidding strategies, creative performance, spend allocation, and engagement patterns.
• Surface proactive insights on saturation, marginal returns, audience behavior, and channel scaling thresholds.
• Analyze competitive, seasonal, and external factors to contextualize channel performance.
• Build forecasting and scenario models supporting budget and investment decisions.
• Lead, mentor, and grow a team of analysts; elevate technical depth, rigor, and business acumen.
• Establish shared methodologies, analytical standards, and scalable processes.
• Create a culture of curiosity, innovation, and insight-to-action across the team.
• Apply AI/ML techniques—including uplift modeling, creative intelligence, and predictive bidding—to identify new optimization levers.
• Leverage GenAI tools to accelerate exploratory analysis, automate insights, and enhance storytelling.
• Collaborate with engineering to ensure analytics models and workflows are production-ready and continuously improved.

Benefits

• Risepoint is an equal-opportunity employer and supports a diverse and inclusive workforce.