Senior Manager, Omnichannel Insights & Execution

Senior Manager, Omnichannel Insights & Execution

Sumitomo Pharma Co., Ltd., is a global pharmaceutical company based in Japan with operations in the U.S. (Sumitomo Pharma America, Inc.), focused on addressing patient needs in oncology, urology, women's health, rare diseases, cell & gene therapies and CNS. With several marketed products and a diverse pipeline of early- to late-stage investigational assets, we aim to accelerate discovery, research, and development to bring novel therapies to patients sooner.

The Senior Manager, Omnichannel Insights & Execution will play a critical role in developing and executing omnichannel marketing strategies to improve customer engagement, optimize marketing efforts, and enhance the overall customer journey. This role combines customer insights, data analytics, and campaign execution, ensuring that omnichannel initiatives are aligned with broader business goals. The role requires expertise in data mining and data visualization to analyze large datasets from various channels (digital, social, mobile, in-store, etc.) and deliver actionable insights that inform business decisions. You will work closely with marketing, sales, IT, and data engineering teams to enable personalized, data-driven marketing strategies.

Key duties and responsibilities:

• Lead analysis of large, complex datasets from CRM, digital platforms, media, POC, field force, and patient/HCP engagement systems using SQL and advanced analytical tools to uncover omnichannel insights.
• Conduct exploratory and advanced analytics (EDA, segmentation, trend analysis) to identify opportunities that optimize omnichannel strategies and elevate the HCP and patient experience.
• Translate customer and channel insights into clear, actionable recommendations that guide brand and omnichannel strategy, improve engagement quality, and drive measurable commercial impact.
• Continuously evaluate omnichannel and campaign performance, identifying optimization levers to improve reach, responsiveness, and conversion while maintaining compliance with pharma regulations.
• Build, automate, and enhance dashboards, KPI frameworks, and performance reporting to provide real-time visibility into omnichannel effectiveness for brand, marketing, and field leadership.
• Partner closely with marketing, sales, analytics, data engineering, IT, and agency partners to ensure data accuracy, accessibility, and integration across omnichannel ecosystems.
• Present insights and strategic recommendations to senior leadership, shaping decision-making through data-driven storytelling and clear business implications.
• Stay current with emerging data science, machine learning, MarTech, and industry trends, proactively identifying innovative analytical approaches relevant for pharma's evolving omnichannel model.
• Champion ongoing improvements in data-driven marketing by recommending new tools, methodologies, and test-and-learn opportunities that enhance insight generation and commercial execution.

Essential skills and abilities:

• Advanced proficiency in SQL and experience with Python or R for data manipulation, modeling, and automation.
• Strong experience with BI and data visualization tools (Tableau, PowerPoint, Power BI, Qlik) and advanced Excel.
• Experience with analytics/measurement platforms (Google Analytics, Adobe Analytics, Crossix, Veeva CRM) and pharma data sources (IQVIA, Komodo, Symphony).
• Experience working with cloud and big data technologies (AWS, GCP, Azure, Databricks, Snowflake).
• Strong ability to perform exploratory data analysis, develop customer segmentation, and uncover clear, actionable insights from large, complex datasets.
• Knowledge of marketing automation and orchestration tools (SFMC, Google Marketing Suite, Marketo, HubSpot).
• Experience with customer data platforms (Salesforce CDP, Adobe RT-CDP), CMS platforms, and digital/social execution tools.
• Ability to design omnichannel KPI frameworks and develop automated dashboards to track engagement and performance.
• Ability to translate complex analyses into clear, actionable recommendations for brand, marketing, field, and senior leadership.
• Experience designing test-and-learn experiments (A/B, incremental lift) and applying attribution methodologies.
• Strong critical thinking and problem-solving skills focused on optimizing HCP and patient engagement.
• Proven ability to manage large, cross-functional analytics initiatives and drive adoption of data-driven decision-making.
• Excellent communication and data-storytelling skills for non-technical audiences.
• Strong collaboration skills working with marketing, sales, medical, data engineering, IT, and external partners.
• Familiarity with data governance, quality assurance, and privacy regulations (HIPAA, GDPR, CCPA) in a pharmaceutical context.
• Understanding of pharma-specific promotional compliance and content approvals.

Education and experience:

• Bachelor's or master's degree in marketing, Business, Data Science/Analytics, Computer Science, Mathematics, Statistics, Engineering, or a related field. Advanced degrees are a plus.
• Minimum 8 – 12 (w/o Master's) or 6 – 8 years (with Master's) years of relevant experience in biotech or pharmaceutical industry, with a strong focus on omnichannel marketing, customer analytics, or digital marketing.
• Hands-on experience working with omnichannel data from multiple platforms (CRM, social media, digital ads, email, mobile, in-store, etc.).
• Proven track record of enabling data-driven decision-making at a senior leadership level.

The base salary range for this role is $142,900.00 – $178,600.00. Base salary is part of our total rewards package which also includes the opportunity for merit-based salary increases, short incentive plan participation, eligibility for our 401(k) plan, medical, dental, vision, life and disability insurances and leaves provided in line with your work state. Our robust time-off policy includes flexible paid time off, 11 paid holidays plus additional time off for a shut-down period during the last week of December, 80 hours of paid sick time upon hire and each year thereafter. Total compensation, including base salary to be offered, will depend on elements unique to each candidate, including candidate experience, skills, education and other factors permitted by law.