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ams OSRAM

Product Data Specialist

ams OSRAM, Manchester, New Hampshire, United States

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Product Data Specialist

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ams OSRAM Position Overview

The Product Data Specialist plays a key product data role within the Hillsboro, NH marketingteam (this can be a remote position if within a couple hours of our headquarters). The Marketing Team is responsible for all aspects of marketing from advertising and communications, new product launches, product and fitment data management, retailer-specific in-store signage and merchandising, omni-channel excellence, research, and trade shows. They are a high-producing team that work directly with our customers and internal clients. The Product Data Specialist reports to the Product Data Manager and will be responsible for maintaining the integrity of our product data to be used on Sylvania-Automotive.com, our retailer websites, and POS. This role is critical to ensure we create a strong foundation to manage and grow our digital business, providing a positive customer experience. This role requires intense attention to detail along with the ability to manage multiple tasks and projects simultaneously. They understand data architecture, project management and product management systems, and carry out best practices in the organization. This is a high-producing, customer-facing position where the ideal candidate is comfortable performing and balancing workload in a fast-paced environment. And one more thing we value fun and are looking for someone who will be just as happy as we are to be a part of our team! Primary Responsibilities

Application & Product Information Management System Lead projects like establishing a global PIM Platform (Stibo) and a database UI focusedon data quality, data governance, automated source data normalizing, and best in Class processes to support scalable efforts with the evolving needs of our company and industry. Gather, organize, and execute product information updates and product lifecyclechanges within internal and external systems (e.g. Syndigo/RiverSand) to ensurefast and accurate product introductions and maintenance. Execute and coordinate regular audits of AAIA Database Changes, Receiver Assessment Reports, Catalog Interchanges, Sylvania-Automotive.com, and retailpartner ecommerce sites to ensure accuracy and quality of listings Ensure accurate and on-time ACES & PIES deliveries to receivers on a regularcadence while keeping detailed records in company PMS (Monday.com) Manage application data discrepancy processes, including OEM research, analysis,normalization, record-keeping, and reporting within the internal system/documentation Serve as the first point of contact for any data issues from stakeholders to ensureprompt and accurate resolution.

eCommerce Product Management Collaborate with the Digital Marketing Specialist to ensure product content and mapping isoptimized for performance and Search Engine Optimization (SEO) whereapplicable. Collaborate with the Global IT and Digital Marketing team to update Sylvania Bulb Finder regularlyand contribute to optimizing the process and the tools logic.

Data Management Establish and maintain database standards, industry best practices, and content ofinternal knowledge sharing/documentation repositories, including documenting processes, workflows, and queries, formulas, and database architectures. Look for opportunities to streamline and improve workflows and processes with alaser focus on operational excellence and continuous improvement to data quality. Leverage machine learning/AI (Artificial Intelligence) and other system capabilities tosimplify and scale product data solutions for long-term efficiency. Work cross-functionally with Product, Marketing, Sales, and IT teams to develop andmanage work plans related to PIM, product, and application database projects,ensuring team and retailer goals are met. Utilize company PMS, Monday.com, for full team transparency of all tasks andproject management with impeccable record keeping

Project Management Participate in department meetings and perform other tasks and related duties asassigned.

Position Requirements

Bachelors degree in Data Science/Analytics (minor in Physics and/or Mathematics ispreferred), Computer Science, Information Management, or related field Proven working experience in product information or master data management, as wellas big data QA. Must be a resourceful, technically savvy, and detail-oriented team player who has hadsuccess in working with cross-functional teams/projects 3+ years minimum hands-on experience with the following criteria: Strong analytical abilities: able to dig into complex data sets to help inform decisions. Proven results in defining product roadmap goals and exceeding them. Superior problem solving and analytical skills. Takes a holistic data-drivenapproach to problem solving and decisions and draws upon business insightwhere information is incomplete. Expert Microsoft Excel and SQL experience required, comfortable manipulating,leveraging, and auditing large data sets (>1MM rows) and conceptualizingdatabase and data warehouse architecture Superior attention to detail and time management, working within specifieddeadlines. Experience with eCommerce or digital product management Excellent communication skills (both written and verbal) with the ability tocollaborate timely with internal and external business partners/clients. Proven ability to conduct and coordinate coaching/training for internal andexternal stakeholders. Ability to work independently and manage multiple tasks and projects, withexcellent time and communication management skills.Previous experience with a PIM (Syndigo or Stibo), FileZilla, project management software (JIRA, ZoHo, or Monday.com), SQL/no-SQL, and Python

Previous experience in automotive or industrial data is a plus Basic understanding of SEO best practices is a plus. Experience working with Auto Care Association Automotive Aftermarket (AAIA)standards and databases is a plus

Seniority level

Entry level

Employment type

Full-time

Job function

Information Technology

Industries

Motor Vehicle Manufacturing

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