Job Title: Senior Product Manager – (Data Integration Focused) Location: Pleasanton, CA (Hybrid) Duration: 1 Year with possible extension Pay Rate: $70/75 Employment Type: Contract Job Description: The Product Manager for Merchandising (Data Integration focused) is responsible for overseeing the development, management, and optimization of a company's product assortment, ensuring that it aligns with the overall business strategy and meets the needs of the target market. This role involves collaborating with cross-functional teams, analyzing market trends, and implementing strategies to drive sales and enhance the customer experience. Responsibilities: • Develop and implement a comprehensive product strategy for the merchandising and items category. • Conduct market research to identify trends, customer preferences, and competitor offerings. • Collaborate with the merchandising team to curate a product assortment that meets customer demand and aligns with brand positioning. • Work closely with the product development team to bring new items to market, ensuring they meet quality standards and are delivered on time. • Collaborate with marketing, sales, and operations teams to ensure a coordinated effort in launching and promoting products. • Utilize data analytics and key performance indicators to evaluate the success of products and make data-driven decisions. • Communicate product strategies, updates, and performance to internal stakeholders. Qualifications: • Bachelor's degree in business, marketing, or a related field. MBA is a plus. • Proven experience as a Product Manager or similar role, with a focus on merchandising • Experience with API data from third party companies for product tagging/labelling • Experience as a Senior Product Manager in retail industry is a must • Strong analytical and strategic thinking skills. • Excellent communication and interpersonal skills. • Ability to work collaboratively in a cross-functional team environment. • Familiarity with market trends, consumer behavior, and retail dynamics. • Experience with product lifecycle management and assortment planning. • Proficiency in using data analytics tools and software