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Paid Search/SEO & Paid Social Media Manager

pharmaforceiq·APAC·India·mid
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About Us: We are a team of marketing strategists, digital innovators, life science leaders, and other professionals who are driving growth, pushing the envelope, and going above and beyond on behalf of our clients every day. PharmaForceIQ is a real-time customer engagement platform built specifically for life sciences. We empower leaders across functions and brands with a faster, more effective way to engage healthcare professionals and patients. By streamlining real-time optichannel execution, leveraging AI, and focusing on measurable impact, we are driving a paradigm shift from sluggish, siloed customer engagement efforts to agile, data-driven strategies that deliver unmatched efficiency and tangible results. Position Overview: We are seeking an experienced Paid Search/SEO & Paid Social Media Manager with a minimum of 4–6 years of experience in performance marketing, preferably within pharmaceutical, biotech, or healthcare environments. The ideal candidate will own the day-to-day strategy, execution, and performance optimization for Paid Search, SEO, and Paid Social campaigns across HCP and consumer audiences. You will lead and develop a small team of digital marketing associates or specialists to ensure holistic campaign success. This role requires a balance of hands-on technical execution, analytical rigor, and team leadership. The Manager will report to the Senior Data Analyst or similar leader. Key Responsibilities: Integrated Campaign Strategy: Lead the planning, execution, and optimization of integrated campaigns across Google Ads, Microsoft/Bing Ads, and major Paid Social platforms (e.g., LinkedIn, Meta) for HCP, patient, and caregiver audiences. Search & Social Management: Oversee end-to-end campaign setup, including keyword strategy, SEO best practices, ad copy development, audience targeting, bid management, and budget pacing for both search and social channels. SEO Optimization: Drive SEO strategy through technical audits, on-page optimization, and cont