Stanley | tms
Director, Enterprise Data & Analytics Platform
Stanley | tms, Seattle, Washington, us, 98127
About Us
Stanley, a HAVI company, is defined by Creativity, Building and Invention. We are makers of the legendary bottle and box. Driven by purpose, passion, and performance. Obsessed with making a difference and keeping our promises. Proud of our yesterday and focused on building the team of tomorrow.
Position Overview
As the Director of Data Analytics at Stanley 1913, you will play a critical role in leading our data strategy for our e-commerce platform hosted on Azure. You will have the opportunity to work with a world-class team of data professionals and collaborate with senior leadership to drive data-driven decision-making and support our ambitious business growth.
What You Will Do
Leadership & Strategy
Lead and inspire a team of data engineers, providing vision, direction, and mentorship.
Develop and implement a comprehensive data strategy aligned with our business objectives.
Collaborate with senior leadership to drive data-centric decision-making and ensure the successful implementation of our data initiatives.
Data Infrastructure & Management
Take charge of all aspects of the design, development, and maintenance of our data infrastructure on Azure.
Ensure data integrity, quality, and security across all data processes, enabling us to compete at a world-class level.
Implement scalable data pipelines and ETL processes to support our analytics and reporting needs, allowing us to determine actionable insights.
Analytics & Reporting
Lead the development of advanced analytics, including predictive modeling and machine learning, to provide us with a competitive edge.
Develop and manage detailed dashboards and reports that monitor important metrics, empowering us to make informed choices based on data.
Deliver actionable insights to improve customer experience, optimize operational efficiency, and drive exceptional business performance.
Collaboration & Communication
Collaborate closely with multi-functional teams such as IT, marketing, sales, and finance to understand their data needs and provide tailored analytics solutions.
Communicate research findings and recommendations to individuals at all levels, including top management, to promote a culture that values data-driven decision-making.
Encourage the adoption of effective methods and data literacy throughout the organization, ensuring that all employees possess the essential skills to thrive in a data-focused setting.
Experience and Education
Equivalent experience in Data Science, Computer Science, Statistics, Engineering, or a related field is highly valued. A master's degree or Ph.D., or equivalent experience, is preferred.
Minimum of 10 years of proven experience in enterprise data engineering and analytics, with at least 5 years leading data engineers, building data platforms and pipelines.
Extensive experience in managing and scaling data platform teams to achieve exceptional results.
Strong background in e-commerce analytics, including customer segmentation, sales forecasting, and inventory optimization.
Proficiency in Azure and tools and languages such as SQL, Python, R, and BI tools (e.g., Power BI, Tableau).
Excellent analytical, problem-solving, and critical-thinking skills.
Strong project management skills with the ability to successfully implement multiple projects simultaneously.
Exceptional communication and presentation skills, with the ability to translate complex data insights into clear, actionable recommendations.
Familiarity with machine learning algorithms and their application in business contexts.
Understanding of data governance, privacy regulations, and effective approaches to data security.
Salary Range
$170,000-$190,000
Stanley is committed to a diverse and inclusive work environment. Stanley is an equal opportunity employer and does not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please reach recruiting@stanley1913.com.
The base pay range for this position is for a successful candidate within the state listed. The successful candidate’s actual pay will be based on multiple factors, such as work location, job-related knowledge, skills, qualifications, and experience. Stanley is a total rewards company, which includes rewards beyond base salary. At Stanley, full-time employees are eligible for an annual bonus, based on company and individual results. In addition, we offer a variety of employee benefits, personalized time off, 14-Paid holidays, dental, vision, 401(k), and much more.
About HAVI:
Stanley is a part of HAVI, a global privately owned company with over 10,000 employees worldwide. HAVI connects people with ideas, data with insights, and supply with demand. With best-in-class sourcing and supply chain capabilities, brand defining marketing and promotion services, and innovative consumer products, HAVI delivers operational excellence and drives growth for our customers in over 100 countries. To learn more about HAVI and our portfolio of businesses, please visit HAVI.com, tmsw.com, and stanley1913.com.
#J-18808-Ljbffr
Stanley, a HAVI company, is defined by Creativity, Building and Invention. We are makers of the legendary bottle and box. Driven by purpose, passion, and performance. Obsessed with making a difference and keeping our promises. Proud of our yesterday and focused on building the team of tomorrow.
Position Overview
As the Director of Data Analytics at Stanley 1913, you will play a critical role in leading our data strategy for our e-commerce platform hosted on Azure. You will have the opportunity to work with a world-class team of data professionals and collaborate with senior leadership to drive data-driven decision-making and support our ambitious business growth.
What You Will Do
Leadership & Strategy
Lead and inspire a team of data engineers, providing vision, direction, and mentorship.
Develop and implement a comprehensive data strategy aligned with our business objectives.
Collaborate with senior leadership to drive data-centric decision-making and ensure the successful implementation of our data initiatives.
Data Infrastructure & Management
Take charge of all aspects of the design, development, and maintenance of our data infrastructure on Azure.
Ensure data integrity, quality, and security across all data processes, enabling us to compete at a world-class level.
Implement scalable data pipelines and ETL processes to support our analytics and reporting needs, allowing us to determine actionable insights.
Analytics & Reporting
Lead the development of advanced analytics, including predictive modeling and machine learning, to provide us with a competitive edge.
Develop and manage detailed dashboards and reports that monitor important metrics, empowering us to make informed choices based on data.
Deliver actionable insights to improve customer experience, optimize operational efficiency, and drive exceptional business performance.
Collaboration & Communication
Collaborate closely with multi-functional teams such as IT, marketing, sales, and finance to understand their data needs and provide tailored analytics solutions.
Communicate research findings and recommendations to individuals at all levels, including top management, to promote a culture that values data-driven decision-making.
Encourage the adoption of effective methods and data literacy throughout the organization, ensuring that all employees possess the essential skills to thrive in a data-focused setting.
Experience and Education
Equivalent experience in Data Science, Computer Science, Statistics, Engineering, or a related field is highly valued. A master's degree or Ph.D., or equivalent experience, is preferred.
Minimum of 10 years of proven experience in enterprise data engineering and analytics, with at least 5 years leading data engineers, building data platforms and pipelines.
Extensive experience in managing and scaling data platform teams to achieve exceptional results.
Strong background in e-commerce analytics, including customer segmentation, sales forecasting, and inventory optimization.
Proficiency in Azure and tools and languages such as SQL, Python, R, and BI tools (e.g., Power BI, Tableau).
Excellent analytical, problem-solving, and critical-thinking skills.
Strong project management skills with the ability to successfully implement multiple projects simultaneously.
Exceptional communication and presentation skills, with the ability to translate complex data insights into clear, actionable recommendations.
Familiarity with machine learning algorithms and their application in business contexts.
Understanding of data governance, privacy regulations, and effective approaches to data security.
Salary Range
$170,000-$190,000
Stanley is committed to a diverse and inclusive work environment. Stanley is an equal opportunity employer and does not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please reach recruiting@stanley1913.com.
The base pay range for this position is for a successful candidate within the state listed. The successful candidate’s actual pay will be based on multiple factors, such as work location, job-related knowledge, skills, qualifications, and experience. Stanley is a total rewards company, which includes rewards beyond base salary. At Stanley, full-time employees are eligible for an annual bonus, based on company and individual results. In addition, we offer a variety of employee benefits, personalized time off, 14-Paid holidays, dental, vision, 401(k), and much more.
About HAVI:
Stanley is a part of HAVI, a global privately owned company with over 10,000 employees worldwide. HAVI connects people with ideas, data with insights, and supply with demand. With best-in-class sourcing and supply chain capabilities, brand defining marketing and promotion services, and innovative consumer products, HAVI delivers operational excellence and drives growth for our customers in over 100 countries. To learn more about HAVI and our portfolio of businesses, please visit HAVI.com, tmsw.com, and stanley1913.com.
#J-18808-Ljbffr