Senior Manager, Omnichannel Insights – Execution

This is a fully remote position, open to applicants in United States.

📋 Description

• Lead the analysis of intricate and extensive datasets sourced from CRM, digital platforms, media, POC, field force, and patient/HCP engagement systems utilizing SQL and advanced analytical methodologies.

• Perform exploratory and advanced analytics (EDA, segmentation, trend analysis) to uncover opportunities that enhance omnichannel strategies and improve the experiences of HCPs and patients.

• Convert customer and channel insights into straightforward, actionable recommendations that inform brand and omnichannel strategies, boost engagement quality, and generate quantifiable commercial outcomes.

• Continuously assess omnichannel and campaign performance, identifying optimization opportunities to enhance reach, responsiveness, and conversion while adhering to pharmaceutical regulations.

• Develop, automate, and refine dashboards, KPI frameworks, and performance reports to offer real-time visibility into the effectiveness of omnichannel strategies for brand, marketing, and field leadership.

• Collaborate closely with marketing, sales, analytics, data engineering, IT, and agency partners to guarantee data accuracy, accessibility, and integration across omnichannel ecosystems.

• Deliver insights and strategic recommendations to senior leadership, influencing decision-making through data-driven storytelling and clear business implications.

• Keep abreast of emerging trends in data science, machine learning, MarTech, and the industry, proactively seeking innovative analytical methodologies pertinent to the evolving omnichannel model in pharmaceuticals.

⛳️ Requirements

• Bachelor’s or master’s degree in Marketing, Business, Data Science/Analytics, Computer Science, Mathematics, Statistics, Engineering, or a related discipline.

• A minimum of 8 to 12 years of relevant experience in the biotech or pharmaceutical sector (without a Master’s) or 6 to 8 years (with a Master’s).

• Advanced SQL proficiency and experience with Python or R for data manipulation, modeling, and automation.

• Significant experience with BI and data visualization tools (Tableau, PowerPoint, Power BI, Qlik) and advanced Excel skills.

• Familiarity with analytics/measurement platforms (Google Analytics, Adobe Analytics, Crossix, Veeva CRM).

• Experience with cloud and big data technologies (AWS, GCP, Azure, Databricks, Snowflake).

• Strong capability in conducting exploratory data analysis, developing customer segmentation, and deriving clear, actionable insights from large, complex datasets.

• Understanding of marketing automation and orchestration tools (SFMC, Google Marketing Suite, Marketo, HubSpot).

• Awareness of data governance, quality assurance, and privacy regulations (HIPAA, GDPR, CCPA) within a pharmaceutical context.

🏝️ Benefits

• Merit-based salary increases.

• Participation in a short incentive plan.

• Eligibility for the 401(k) plan.

• Comprehensive medical, dental, vision, life, and disability insurance coverage.

• Flexible paid time off policies.

• 11 paid holidays, plus additional leave during the last week of December for a shut-down period.

• 80 hours of paid sick time upon hiring and each year thereafter.