Product Operations Sr. Manager

Cadence Design Systems•San Jose, CA

1d•Remote

About The Position

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology. This role involves cross-functional collaboration, data lifecycle management, system administration & integration, and product data standardization. The Product Operations Sr. Manager will play a critical role in managing product data from creation to syndication, ensuring consistency across quote-to-cash systems and processes. They will also oversee the Product Information Management system, identify automation possibilities, and work closely with IT to implement business requirements. The role requires defining and enforcing policies for data quality, stewardship, and security, as well as cleansing, standardizing, and deduplicating data. Cadence is a global electronic design automation company providing software, hardware, and intellectual property to design advanced semiconductor chips. We are recognized by Fortune Magazine as one of the 100 Best Companies to Work For.

Requirements

15+ years of hands-on-experience, knowledge and deep understanding of Product Information Management Systems e.g., Pimcore, Informatica, Talend, SAP MDG and MDM software, data modelling, and SQL.
Understanding product lifecycles and business processes involving quote-to-cash or manufacturing or retail.
Expertise in Excel and ability to analyze large datasets to identify inconsistencies, duplicates, or gaps in product data.
Ability to map complex data models and resolve data quality issues using AI tools.
Ability to streamline workflows for product onboarding and changes, reducing manual effort and errors.
Understanding how clean product data drives business goals like faster "speed-to-market" or better customer experiences.
Experience managing implementation of projects and coordinating across multiple teams.
Proven ability to manage multiple projects, meet deadlines, and thrive in a fast-paced, multi-project, fluid environment.
Outstanding analytical skills with attention to detail, strong verbal, written communication, and presentation skills.
Bachelor’s degree in business administration, marketing, economics, or engineering.
15+ years of experience out of which at least 5+ years of product management or product development or related technical product management experience in a technology-oriented organization.

Nice To Haves

Master’s degree is preferred but not mandatory like in Product Management related areas and product management certification is a significant plus.

Responsibilities

Engage in cross functional review of Cadence technology tools to identify and define required product definition and its characteristics involving pricing, business models, core technology platforms, business unit categorization, licensing capabilities and product release versions.
Collaborate product integration needs for new technology and advancements via M&As with various Product R&D divisions, Product marketing, Sales & Support, Fulfillment and Finance.
Managing product data from creation (onboarding) to syndication, ensuring consistency across quote-to-cash systems and processes.
Manage product pricelist publication, generate pricelist and work closely with Marketing to initiate review and approval of the pricelist changes and publish pricelist information to Sales and Sales finance team.
Overseeing the Product Information Management system processes by ensuring smooth data flow between different systems like Salesforce, SAP, Fulfillment & Finance reporting systems.
Identify and recommend automation possibilities with the product information systems for fulfilling dynamic and evolving business needs of various product lines, business operations and system integrations.
Work closely with IT team to effectively define and implement business requirements for the product information management system.
Defining and enforcing policies to ensure data quality, stewardship, and security, reducing redundancy across the organization.
Cleansing, standardizing, and deduplicating data, ensuring attributes such as business model definitions, business unit categorization, licensing features, release versions, dimensions, and pricing are accurate.
Ensure data governance, define and strategize the integration needs, understand product manifestation and how it drives different business requirements and rules in the various downstream systems / platforms of the quote-to-cash process.