Introduction
Join the IBM Master Data Management (MDM) team to grow our next evolution tool, IBM Match 360. IBM Match 360 is a machine-learning powered master data management solution, matching and relating our customer's critical data at scale. It provides flexible and accurate views of our users' operational data like customers, organizations, patients, accounts, and more, and how those different data objects relate to each other. It enables deep insights and accuracy controls to adapt to our customer's changing business requirements, creating the right views of their data across their use cases. Master data management provides the trusted data for doctor/patient portals, insurance claims, citizen data repositories, bank accounts, and more; every industry needs it, and IBM MDM solutions are behind the scenes at many of the world's largest companies and organizations!
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Launching on SaaS this summer, with a packed roadmap for additional cross-product capabilities like role controls and traceability, as well as plans to weave in additional machine learning and GenAI, join the team to shape the future of IBM's master data capabilities.
Your role and responsibilities
Responsible for driving the strategy, development, and deployment of IBM's MDM solutions. This role involves translating business needs into product requirements, leading cross-functional teams, and ensuring the success of MDM products within IBM's portfolio.
Key Responsibilities:
Strategy and Vision: Defining the MDM product roadmap, identifying market opportunities, and aligning product strategy with overall business objectives.
Requirements Gathering and Analysis: Working with stakeholders to understand customer needs, conduct market research, and translate these into detailed product requirements.
Product Development: Leading the development process, including prioritizing features, managing the product backlog, and collaborating with engineering and design teams.
Product Launch and Support: Overseeing the product launch process, providing ongoing product support, and ensuring customer satisfaction.
Market Analysis and Competitive Intelligence: Staying up-to-date on market trends, competitor offerings, and customer feedback to identify opportunities for product innovation.
Cross-functional Collaboration: Working effectively with various teams, including engineering, marketing, sales, and product design, to ensure product success.
Data Quality and Governance: Understanding and promoting best practices for data governance and quality within the context of MDM.
Technology: Staying informed about new technologies related to data management and artificial intelligence.
Required education
Bachelor's Degree
Preferred education
Master's Degree
Required technical and professional expertise
5+ years in software product management, with a focus on using data to inform prioritization and decision-making.
5+ years experience engaging in user research, testing, and optimizing workflows to enhance user experiences.
5+ years in agile product delivery, including writing detailed requirements, managing backlogs, and performing user acceptance testing (UAT).
5+ years with technical with good understanding of AI, foundation models, and related technologies
5+ years demonstrating exceptional communication and problem-solving skills, with the ability to bridge technical and business perspectives.
Preferred technical and professional experience
Background with IBM Master Data Management, data quality or governance software solutions
ABOUT BUSINESS UNIT
IBM Software infuses core business operations with intelligence-from machine learning to generative AI-to help make organizations more responsive, productive, and resilient. IBM Software helps clients put AI into action now to create real value with trust, speed, and confidence across digital labor, IT automation, application modernization, security, and sustainability. Critical to this is the ability to make use of all data, because AI is only as good as the data that fuels it. In most organizations data is spread across multiple clouds, on premises, in private datacenters, and at the edge. IBM's AI and data platform scales and accelerates the impact of AI with trusted data, and provides leading capabilities to train, tune and deploy AI across business. IBM's hybrid cloud platform is one of the most comprehensive and consistent approach to development, security, and operations across hybrid environments-a flexible foundation for leveraging data, wherever it resides, to extend AI deep into a business.
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