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On-site
Full Time
We are seeking a highly analytical and strategic Manager – Product Marketing Data & Strategy to lead the intersection of data analytics, product marketing, and business decision-making. This role will be instrumental in translating complex data into actionable insights that inform go-to market strategies, product positioning, customer segmentation, and revenue growth initiatives. This role is at the intersection of marketing, data science & analytics, and business strategy. The ideal candidate has strong technical acumen, marketing intuition, and a business-oriented mindset to drive high-impact decisions across product marketing efforts.
• Conduct advanced statistical analysis to understand customer behavior, product adoption patterns, and campaign ROI.
• Develop and scale algorithms to support personalization, lead scoring, and conversion rate optimization.
• Partner with product marketers to shape positioning, messaging, and GTM strategies using data-driven insights.
• Analyze competitive landscapes, market trends, to support strategic planning.
• Deliver high impact insights and recommendations to cross-functional stakeholders.
• Define data requirements and work with engineering and BI teams to ensure clean, scalable, and accessible marketing datasets.
• Develop interactive dashboards and self-service tools to democratize marketing performance data across teams.
• Own key performance metrics and attribution models that connect marketing activities to business outcomes.
• Act as a strategic thought partner to marketing, product, and sales leadership.
• Collaborate with GTM teams to test hypotheses, run experiments, and iterate on marketing strategies.
• Drive alignment on customer definitions, metrics, and business drivers across departments.
• Champion data literacy and insight-driven decision-making across the marketing organization.
• Master’s degree in data science, Statistics, Economics, Computer Science, Engineering, or related field.
• 10+ years of experience in product analytics, data science, strategy roles, preferably in a global consulting environment.
• Proficiency in SQL, Python, and data visualization tools (e.g., Tableau, Power BI, Looker).
• Experience building models using machine learning libraries and frameworks (e.g., scikit-learn, XGBoost, TensorFlow, etc.).
• Strong communication and storytelling skills with the ability to explain complex concepts to non-technical stakeholders.
• Proficient with marketing concepts, strategy consulting, and product lifecycle
 
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