Revenue Enablement Analyst, Data Product Manager - Neuromodulation

About the Role

Key Responsibilities

• Maintain and deliver a comprehensive data product roadmap that outlines the vision, goals, and strategic direction for data management and analytics products, updating it based on evolving business needs, technological advancements, and market trends.
• Collaborate with stakeholders to identify and understand business needs for data, translate them into use cases, and prioritize a plan based on strategic goals and value.
• Help streamline data flows to create a single source of truth for data, troubleshoot data flow discrepancies and accuracy issues, and problem solve data opportunities.
• Lead the community of data experts within the division, enforce data governance policies, develop standardized reporting frameworks, and manage the data dictionary and KPI lexicon.
• Harness existing reporting and visualization tools to craft analytical reports and insights, and lead the development of innovative reporting tools and technologies.
• Leverage digital tools and platforms to automate and streamline processes, and implement sales enablement technologies to improve efficiency.
• Identify and implement process improvements, develop SOPs, data definitions, and process maps, and work with cross-functional teams to ensure process consistency.
• Exhibit project management capabilities, ensure timely project delivery, communicate effectively with stakeholders, and liaise with IT partners.
• Provide timely, accurate, and efficient support for team and stakeholder requests, demonstrating operational excellence and responsiveness.

Requirements

• Bachelor's degree in business, finance, marketing, data analytics, or a related field.
• 5 years of experience in revenue operations, sales operations, sales enablement, commercial IT, or related functions.
• Minimum of 3 years of experience as a data analyst or in a similar role, with experience in SQL, Python, VBA, SAS, Tableau Prep, Alteryx, cloud environments (AWS, Snowflake), and modern data architecture principles.
• 2+ years of experience with analytical visualization tools such as Tableau, QlikView, or others.
• Expert-level experience with back-office applications, including Excel and MS Access.
• Strong understanding of enterprise platforms (SAP, Anaplan, Model N, Conga) and CRM capabilities (SFDC).
• Excellent interpersonal, written, and verbal communication skills to work with all organizational levels and articulate data strategies.
• Proven track record of managing complex data-driven products or solutions and translating business needs into scalable data solutions.
• Deep understanding of industry trends, market needs, and the competitive landscape in data and analytics.
• Experience building product roadmaps, prioritizing features, and driving cross-functional alignment.
• Ability to own and manage projects end-to-end.
• Desire to work in a fast-paced, collaborative, cross-functional environment.
• Ability to travel up to 20% domestically.

Nice to Have

• Commercial back-office experience in the medical device or life sciences industry.
• Knowledge of Boston Scientific commercial systems and processes.
• Prior experience implementing data-driven AI or generative AI use cases and other digital platforms.
• Experience applying statistical modeling and predictive analytics.
• Proven analytical and problem-solving expertise.
• Experience in process mapping and documentation.
• Proven ability to influence change.

Qualifications

• Bachelor's degree in relevant field.
• At least 5 years of relevant experience in revenue or sales operations.
• Experience with data tools such as SQL, Python, VBA, SAS, Tableau Prep, Alteryx, cloud environments, and data architecture.

Benefits & Perks

• Compensation ranging from $103,700 to $197,000, commensurate with experience.
• Core and optional employee benefits (details at www.bscbenefitsconnect.com).
• Potential variable compensation including bonuses and long-term incentives.
• Supportive work environment with access to training and development.