Your responsibilities will include:
Strategic roadmapping: Maintain and deliver a comprehensive data product roadmap that outlines the vision, goals, and strategic direction for data management and analytics products. Continuously update the roadmap based on evolving business needs, technological advancements, and market trends. Manage prioritization of analytics needs across the business and help articulate business value.
Business acumen: 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. Define key metrics and KPIs to measure performance and health of the business.
Data and process acumen: Help streamline data flows to create a single source of truth for data. Bring knowledge of the business, process flow, and context to data, while understanding the technical aspects of all source systems (internal and external). Troubleshoot data flow discrepancies and accuracy issues, and help problem solve data opportunities.
Governance: Lead the community of data experts within the division and enforce data governance policies to ensure data quality. Optimize the intake process, develop and maintain standardized reporting frameworks, create and manage the data dictionary, and build a comprehensive data/KPI lexicon to align stakeholders on terminology. Rationalize analytics assets and reports, measure usage, and eliminate unused reports.
Technology and reporting innovation: Harness existing reporting and visualization tools to craft intuitive analytical reports and insights for field personnel and leadership. Lead the development and implementation of innovative reporting tools and technologies by working closely with data engineering and analytics teams, representing the voice of the business.
Digital capabilities and automation: Leverage digital tools and platforms to automate and streamline processes. Implement and manage sales enablement technologies to improve efficiency and productivity. Help shape enterprise systems strategy and integrate new digital, AI, and generative AI tools into the existing technology stack.
Process improvement: Identify and implement process improvements to create efficiencies for both field sales and commercial back-office functions. Work with cross-functional teams to align processes and ensure consistency. Develop and document standard operating procedures (SOPs), data definitions, and process maps where applicable.
Project management and communication: Exhibit outstanding project management capabilities, ensuring projects are delivered on time and within scope. Communicate effectively with stakeholders and leaders, providing clear updates on status, risks, and timelines. Liaise with IT partners on key projects to ensure quality products are delivered on time and as expected.
Operational excellence: Display a sense of urgency in responding to requests by providing timely, accurate, and efficient support for our team and stakeholders. Demonstrate a high level of responsiveness and dedication to the collective success of the team.
Required qualifications:
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 a related function
Minimum of 3 years of experience as a data analyst or in a similar role, with experience in data tools such as 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 skills and strong written and verbal communication skills to work with individuals at all levels of the organization and articulate data strategies to technical and non-technical audiences
Proven track record of managing the lifecycle of complex data-driven products or solutions
Demonstrated ability to translate business needs into scalable data solutions
Deep understanding of industry trends, market needs, and the competitive landscape in data and analytics
Experience building a product roadmap, prioritizing features, and driving alignment across cross-functional teams while influencing without authority
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
Preferred qualifications:
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 commercial digital platforms
Experience applying statistical modeling and predictive analytics to solve business problems
Proven expert-level analytical and problem-solving experience
Prior experience in process mapping and documentation
Proven experience influencing change
Maximum Salary: $ 197000
Compensation fornon-exempt (hourly), non-sales rolesmay also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).
Compensation forexempt, non-sales rolesmay also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).
For MA positions: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.
Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company’s policies or protocols change with regard to COVID-19 vaccination.
Among other requirements, Boston Scientific maintains specific prohibited substance test requirements for safety-sensitive positions. This role is deemed safety-sensitive and, as such, candidates will be subject to a prohibited substance test as a requirement. The goal of the prohibited substance testing is to increase workplace safety in compliance with the applicable law.
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