Content & Digital Expansion Strategist

Description: We are seeking a highly skilled Content & Digital Expansion Strategist with a deep technical understanding of algorithmic content amplification, data-driven audience scaling, and revenue-centric digital transformation. The ideal candidate will architect and execute advanced multi-platform content ecosystems, leveraging AI-driven analytics, machine learning insights, and precision-based engagement strategies to optimize brand authority, maximize audience retention, and drive monetization at scale. Key Responsibilities: • Engineer and implement proprietary digital growth frameworks that integrate predictive analytics, behavioral segmentation, and AI-assisted content distribution to optimize audience acquisition and business revenue. • Develop and deploy multi-channel expansion strategies, leveraging API integrations, automation workflows, and algorithmic engagement tactics across YouTube, LinkedIn and emerging platforms. • Conduct deep algorithmic analysis of platform-specific ranking factors, utilizing real-time performance analytics, CTR modeling, and retention heatmaps to refine content distribution methodologies. • Perform advanced competitive intelligence and market deconstruction, dissecting high-performing content architectures and uncovering untapped digital market opportunities. • Design and execute long-term YouTube expansion frameworks, integrating semantic indexing, entity-based SEO, and retention-driven content clustering for sustained discoverability and monetization. • Optimize content discoverability with data-driven A/B testing, leveraging YouTube metadata automation, predictive title/thumbnail strategy, and deep learning-based keyword indexing. • Lead high-impact strategy consultations, delivering AI-powered insights and actionable growth directives tailored to optimize content performance and audience expansion. • Act as a technical consultant on social media algorithm dynamics, advising on real-time engagement metrics, AI-based content curation, and adaptive storytelling techniques. • Establish and maintain high-value client relationships, ensuring KPI-driven performance optimization, retention maximization, and long-term partnership scaling. • Oversee and coordinate cross-functional content production teams, ensuring all assets meet AI-calibrated engagement thresholds and conversion benchmarks. • Architect and execute dynamic content calendar systems, structuring data-optimized multi-platform content rollouts that enhance visibility, engagement, and conversion. • Spearhead multi-platform content experimentation, leveraging advanced machine learning models to optimize audience sentiment, predictive engagement, and ad conversion rates. • Continuously monitor content performance through deep learning-powered analytics, implementing programmatic A/B testing, trend forecasting, and revenue impact assessments. • Stay at the forefront of AI-driven platform evolution, content personalization algorithms, and consumer behavior analytics, continuously adapting strategies to maintain competitive advantage. • Identify and execute scalable content monetization opportunities, ensuring revenue expansion through advanced programmatic advertising, AI-enhanced influencer partnerships, and dynamic content sponsorship strategies. Qualifications & Skills: • Proficiency in English, Tamil, French, and Mandarin for effective global communication and market expansion. • Extensive experience in technical digital growth strategy, advanced content marketing analytics, or AI-driven social media management. • Expertise in multi-platform content scaling, machine learning-driven audience insights, and predictive engagement modeling. • Advanced proficiency in algorithm analysis, metadata engineering, and content optimization technologies. • Proven experience managing large-scale content production pipelines, ensuring technical precision, performance optimization, and AI-driven automation. • Strong ability to interpret complex data sets, leveraging AI-powered analytics and behavioral insights to refine content strategies. • Deep understanding of algorithmic content recommendation systems, ad monetization frameworks, and conversion-focused storytelling methodologies. • Ability to adapt and iterate strategies based on real-time industry trends, neural network-powered engagement forecasting, and algorithmic shifts. • Highly technical mindset with a data-centric, automation-first approach to audience engagement and digital expansion.