Senior Data Product Owner
DELHI, IN, 110037
McCormick & Company
At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyone's contributions and do what's right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better.
Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers.
While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas
At McCormick, we have over a 100-year legacy based on our “Power of People” principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical values.
Position Overview
The key purpose of a Senior Data Product Owner is to oversee the development and management of our most critical and complex data-related products to deliver value in line with the business’s strategy. This role will control product vision and strategy, prioritization of enhancements, and communication of changes as well as roadmap planning for a broader scope of cross-functional products. This role involves having adeptness and autonomy to drive the process and impact work as well as the ability to navigate the complexity of our data landscape, a keen ability to envision the big picture, harmonize diverse teams, and exhibit a level of professionalism essential for seamless collaboration, particularly when interfacing with more senior leaders that are trying to describe new products or existing enhancements that the business is requesting.
Key Responsibilities:
- Manage and partner with key stakeholders and leaders to prioritize features and enhancements based on business value, ability to navigate complexity of our data landscape in order to provide guidance in assessing product opportunities and risks so as to prioritize backlog that balances short-term needs with long-term goals and resource constraints.
- Facilitate and lead the technical teams to deliver a product that reflects the vision for our most complex and challenging data product. Provide clarity to a well-defined and inspiring solution that aligns the team and stakeholders with the overall business strategy; translate the general product vision into specific product features and implement long-term planning through regular road mapping as well as leading refinements and plannings within the team.
- Develop and maintain user stories translating business requirements into actionable tasks that inform a well defined backlog that serves as a basis for development.
- Define acceptance criteria and quality metrics to ensure product quality meets specified requirements and user expectations; verify the business value delivered by the product in line with the business strategy as well as . suggests new solutions to optimize the product and create business value.
- Mentor and share knowledge with data product owners allowing for quick upskilling and best practice adoption.
- Ability to achieve project goals and objectives by applying the discipline of planning, organizing, and managing resources to bring about successful project completion
- Support employee capability-building strategy
Experience:
- 8-10 years of prior experience doing similar or comparable projects in a related field
- Understanding of enterprise data sources to drive visibility of top losses and opportunities
- Familiarity with creating reports using Business Intelligence tools, e.g. SAP Hana, Power BI, Tableau Comfortable working with structured and unstructured data
- Demonstrated ability to proactively solve problems and multi-task
- Ability to execute continuous improvement initiatives and improve systems
Qualifications:
- Bachelors in Business, Economics or related field
- Supply Chain, Finance, and Business acumen. Understanding of the latest developments in the industry.
- Strong business perspective; able to merge business questions/needs with available data to provide data-driven insights.
- Strong degree of professionalism when dealing with others and leading cross-functional team(s) to alignment and solution
- Superior skills in influencing others through data
- Sense of urgency to meet goals and customer requirements
- Ability to use a systemic approach and tools to identify and eliminate losses
McCormick & Company is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Business Intelligence Economics Finance Power BI Tableau Unstructured data
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Manager jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Marketing Data Analyst jobs
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Analytics Engineer jobs
- Open Business Data Analyst jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Product Data Analyst jobs
- Open Junior Data Scientist jobs
- Open Sr Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Principal Data Scientist jobs
- Open Research Scientist jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open ML Engineer jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open PhD-related jobs
- Open Deep Learning-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open Finance-related jobs
- Open TensorFlow-related jobs
- Open APIs-related jobs
- Open LLMs-related jobs
- Open Consulting-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Data warehouse-related jobs