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Lead Data Product Owner, WATCHMAN | Lead Data Product Owner in Human Resource Job in Maple Grove M1

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Lead Data Product Owner, WATCHMAN

Location:
Maple Grove, MN
Description:

Additional Locations: N/A Diversity : Innovation : Caring : Global Collaboration : Winning Spirit : High Performance At Boston Scientific, we'll give you the opportunity to harness all that's within you by working in teams of diverse and high:performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we'll help you in advancing your skills and career. Here, you'll be supported in progressing : whatever your ambitions. About the role: Boston Scientific's WATCHMAN franchise is growing and seeking an experienced data product owner to support our data maturity efforts. We are looking for an experienced data product owner to drive the roadmap and expand the value of data using a combination of business acumen, technology, and AI/ML expertise. Designated as the data expert within WATCHMAN, this role is responsible for balancing the strategy, governance, and implementation of a data platform leveraged by multiple functions within WATCHMAN. The data product owner will facilitate communication between stakeholders, including Marketing, R and D, digital product teams, Legal and Regulatory, data analysts, and data scientists who will consume the data. If you are a driven individual with a strong data background, excellent problem:solving skills, and a passion for leveraging data to drive business decisions, we would love to hear from you. Join our team and contribute to the success of our data:driven initiatives. Your responsibilities will include: : Maintaining and delivering 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.: Collaborating with stakeholders to identify and understand business needs, translate them into use cases, and prioritize a plan based on strategic goals and team objectives.: Leading the data modeling process by working closely with data engineers, architects, and analysts to define and refine data models that meet business requirements. Ensure data models align with organizational standards and support efficient data analysis and reporting.: Applying Agile best practices to direct and guide cross:functional teams, including data engineers, analysts, and data scientists, to execute project deliverables and achieve business objectives. Provide clear direction, prioritize tasks, and ensure efficient collaboration. Ensure releases are delivered on time, within scope, and meet quality standards.: Effectively communicating project status, data insights, and technical concepts to business stakeholders, executives, and end:users.: Recommending improvements to the data operating model, including governance, workflow, roles, and responsibilities necessary for effective and efficient delivery.: Ensuring the platform architecture promotes data quality, security, scalability, and accessibility while supporting data:driven decision:making across the organization.: Promoting the adoption of best practices in platform product management, focusing on an agile approach to Service Delivery Life Cycle (SDLC) methodologies, user:centered design, and continuous improvement. Required Qualifications: : Bachelor's degree in computer science, software engineering, mathematics, statistics, or a related technical field, or 5+ years of equivalent professional experience.: Hands:on experience with implementing modern data stack (MDS) technologies and frameworks, including data extraction, transformation, and loading (ETL/ELT) processes. Familiarity with tools like Snowflake, Apache Airflow, DBT, or similar technologies is required.: Proven expertise in designing and implementing data models that facilitate accurate and efficient data analysis. Familiarity with modeli
Posted:
May 15 on Tip Top Job
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