Senior Manager, Digital Acquisition & Paid Media Strategy

Job description

Job responsibilities

• Lead, develop, set objectives and work plans for paid media strategists and stakeholders executing full-funnel activation strategies—ensuring the right channels, messages, and formats are aligned to business goals
• Provide strategic channel consulting to senior stakeholders across campaigns and initiatives
• Drive end-to-end digital campaign strategy and execution across Paid Social, Search, Display, and Programmatic channels
• Own and assure adherence to the paid media and activation budget, forecasting, work plans, and performance targets, in partnership with leadership
• Partner with brand and stakeholder teams to activate and amplify sponsorships, events, and partnerships through integrated paid and digital strategies
• Identify and scale in high-impact external ecosystems (publishers, platforms, industry partnerships) to expand reach and credibility
• Drive continuous optimization and testing frameworks across creative, targeting, and bidding strategies
• Set the standards and develop the team capabilities that sustain a culture of innovation and experimentation at scale

Job requirements

• Minimum 12+ years of experience leading integrated marketing programs that connect paid media, partnerships, and content across the full funnel
• 3–5+ years leading and developing high-performing teams, including developing other managers and senior specialists
• 6+ years of experience working in or adjacent to healthcare, life sciences, or other regulated industries with complex buyer journeys preferred
• Expertise in crafting playbooks and paid digital media strategies to accelerate global growth
• Fluency across paid digital media platforms including LinkedIn, Meta, TikTok, X, and Google Ads and managing campaign budgets; experience with social media platforms outside the United States is a plus
• Thorough knowledge of platform mechanics, campaign structure, custom audiences, placement and inventory
• Experience working with technical teams implementing and optimizing automation into relevant enterprise data warehouses
• Strong data and analytics background and a keen ability to understand customer data and know how to convert insights into purposeful actions to meet business needs using Google Analytics 4, Excel, Python, R, Sprinklr