Gates Corporation
Director of Business Strategy & Data Analytics
Gates Corporation, Denver, Colorado, United States, 80285
Director of Business Strategy & Data Analytics
Are you inspired by challenging the status quo? Do you thrive in collaborative environments that results? If so, Gates could be for you.
Gates is a leading manufacturer of application‑specific fluid power and power transmission solutions. We push the boundaries of material science to engineer solutions that continually exceed customer expectations.
Let's simplify it, think belts and hoses. Found in motorcycles, conveyor belts, cars, tractors, blenders, vacuum cleaners, bicycles, & 3D printers just to name a few. Because why not do it all?
Position Summary The Director of Business Strategy & Data Analytics is a strategic, cross‑functional leader responsible for connecting enterprise data capabilities with the company's business strategy and long‑term value creation. In this dual‑capacity role, the director partners closely with executive leadership, commercial teams, operations, supply chain, product line management, finance, and IT to translate business objectives into data‑driven strategies that accelerate growth, strengthen operational performance, and enhance customer and supplier experiences.
This role sets the vision for enterprise master data governance, advanced analytics, and data‑enabled transformation. The director ensures data is a trusted asset and leverages insights, predictive analytics, and business intelligence to influence strategic planning, guide investment decisions, and support the company's competitive positioning within the industrial manufacturing sector.
Essential Duties and Responsibilities Enterprise Data Governance & Master Data Strategy
Define and lead the master data governance operating model for key enterprise domains (customer, product, supplier, material, asset).
Partner directly with business process owners to ensure data accuracy, consistency, and reliability across commercial, supply chain, finance, and manufacturing operations.
Oversee data quality programs, stewardship networks, and policies that improve global data standards, reduce operational friction, and support digital transformation initiatives.
Analytics, Insights & Decision Enablement
Lead teams that deliver actionable insights, predictive analytics, dashboards, and modelling solutions that support strategic and operational decision‑making.
Collaborate with business leaders to define analytic use cases—such as demand forecasting, inventory optimisation, pricing analytics, customer segmentation, procurement efficiency, and operational performance management.
Drive adoption of self‑service analytics across business teams and cultivate a culture of data fluency and fact‑based decision‑making.
Data Architecture, Operations & Technology Enablement
Oversee the enterprise data environment, including data integration, data pipelines, MDM hubs, data warehouse/lake platforms, and analytics tools.
Ensure the organization's data architecture is scalable, secure, and aligned with current and future business needs, including Industry 4.0, IoT/OT data integration, and AI/ML initiatives in manufacturing operations.
Evaluate and implement leading tools and platforms (e.g., SAP MDG, Informatica, Snowflake, Databricks, Teradata, Power BI, AI/ML frameworks) to strengthen enterprise insight capabilities and operational efficiency.
Ensure compliance with regulatory, privacy and security requirements (GDPR, CCPA, etc.).
Develop governance controls that reduce business risk, maintain audit readiness, and protect critical operational and customer data.
Monitor emerging trends in manufacturing analytics, AI/ML, supply chain digitisation, and data governance.
Lead proof‑of‑value experiments and pilot programmes focused on improving manufacturing efficiency, product quality and commercial performance through data‑driven innovation.
Supervisory Responsibilities Business & Strategy Leadership
Serve as a strategic advisor to business unit leaders and the executive team, aligning data strategy with the organization's long‑term business plan and operational priorities.
Identify and champion high‑impact opportunities where data, analytics and digital capabilities can drive revenue growth, customer value, cost optimisation and operational resilience in a manufacturing environment.
Lead the development of enterprise data and analytics road‑maps that support strategic initiatives such as supply chain visibility, product lifecycle management, commercial excellence and manufacturing performance.
Establish KPIs and performance frameworks to measure progress on data maturity, strategic initiatives and business value realisation.
Cross‑Functional Partnership & Change Leadership
Serve as the primary liaison between business teams and IT for enterprise data and analytics initiatives.
Build strong relationships with commercial, operational, manufacturing, supply chain and financial leaders to shape and prioritise the data and analytics portfolio.
Collaborate with Executive Leadership, IT and functional leadership to ensure alignment across initiatives.
Lead change management efforts to drive adoption of new processes, capabilities and insights—ensuring solutions are practical, business‑aligned and value‑focused.
Develop and mentor a high‑performing team across analytics, data engineering, master data and governance.
Requirements and Preferred Skills Education
Bachelor's degree in Business, Information Systems, Data Science or related field required.
Master's degree preferred.
Experience
7–10+ years of progressive experience in data analytics, business strategy, digital transformation.
Leadership experience guiding enterprise business intelligence or analytics teams. Driving master data programmes preferred.
Experience working in an industrial manufacturing or similar operationally complex environment strongly preferred.
Leadership & Soft Skills
Exceptional executive communication, relationship building and strategic influence skills.
Ability to translate technical concepts into business language and value narratives.
Strong analytical mindset with proven business acumen.
Effective project leadership, prioritisation, change management and stakeholder alignment abilities.
Technical Skills
Strong understanding of data governance principles and enterprise business intelligence strategy. MDM frameworks preferred.
Experience with BI and analytics tools such as Power BI, advanced analytics and/or machine learning environments.
Proficiency with data integration, ETL/ELT, metadata management and modern data platforms (Snowflake, Databricks, Teradata, etc.) preferred.
PAY & BENEFITS
Full‑Time
Salary Range: $195K–$225K
Bonus Eligible: 20%
Relocation is not provided
Medical, Dental, Vision insurance and other voluntary benefit options: benefits begin on the first day of the month immediately following your date of hire
401(k): 3% company contribution and additional 3% company match
Tuition Reimbursement
WHY GATES? Founded in 1911 in Denver, Colorado, Gates is publicly traded on the NYSE. While we might operate in a vast amount of time zones we operate as 'One Gates' and have a common goal of pushing the boundaries of materials science. We invest in our people, bringing real‑world experience that enables us to solve our customers' diverse challenges of today and anticipate those of tomorrow.
WORK ENVIRONMENT Gates is an Equal Opportunity and is committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job‑related reasons regardless of race, sex, colour, religion, age, disability, pregnancy, citizenship, sexual orientation, gender identity, national origin, protected veteran status, genetic information, marital status or any other consideration defined by law.
While performing the duties of this job, the employee is frequently required to sit; use hands and fingers to work with objects, tools or controls; and use office equipment including computers, telephones, and/or copiers/scanners. The employee must frequently lift and/or move up to 10 pounds.
For individuals assigned and/or hired to work in Colorado, Gates is required by law to include a reasonable estimate of the compensation for this role. This compensation range is specific to the State of Colorado and takes into account various factors that are considered in making compensation decisions, including but not limited to the candidate's relevant experience, qualifications, skills, competencies, and proficiency for the role.
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Gates is a leading manufacturer of application‑specific fluid power and power transmission solutions. We push the boundaries of material science to engineer solutions that continually exceed customer expectations.
Let's simplify it, think belts and hoses. Found in motorcycles, conveyor belts, cars, tractors, blenders, vacuum cleaners, bicycles, & 3D printers just to name a few. Because why not do it all?
Position Summary The Director of Business Strategy & Data Analytics is a strategic, cross‑functional leader responsible for connecting enterprise data capabilities with the company's business strategy and long‑term value creation. In this dual‑capacity role, the director partners closely with executive leadership, commercial teams, operations, supply chain, product line management, finance, and IT to translate business objectives into data‑driven strategies that accelerate growth, strengthen operational performance, and enhance customer and supplier experiences.
This role sets the vision for enterprise master data governance, advanced analytics, and data‑enabled transformation. The director ensures data is a trusted asset and leverages insights, predictive analytics, and business intelligence to influence strategic planning, guide investment decisions, and support the company's competitive positioning within the industrial manufacturing sector.
Essential Duties and Responsibilities Enterprise Data Governance & Master Data Strategy
Define and lead the master data governance operating model for key enterprise domains (customer, product, supplier, material, asset).
Partner directly with business process owners to ensure data accuracy, consistency, and reliability across commercial, supply chain, finance, and manufacturing operations.
Oversee data quality programs, stewardship networks, and policies that improve global data standards, reduce operational friction, and support digital transformation initiatives.
Analytics, Insights & Decision Enablement
Lead teams that deliver actionable insights, predictive analytics, dashboards, and modelling solutions that support strategic and operational decision‑making.
Collaborate with business leaders to define analytic use cases—such as demand forecasting, inventory optimisation, pricing analytics, customer segmentation, procurement efficiency, and operational performance management.
Drive adoption of self‑service analytics across business teams and cultivate a culture of data fluency and fact‑based decision‑making.
Data Architecture, Operations & Technology Enablement
Oversee the enterprise data environment, including data integration, data pipelines, MDM hubs, data warehouse/lake platforms, and analytics tools.
Ensure the organization's data architecture is scalable, secure, and aligned with current and future business needs, including Industry 4.0, IoT/OT data integration, and AI/ML initiatives in manufacturing operations.
Evaluate and implement leading tools and platforms (e.g., SAP MDG, Informatica, Snowflake, Databricks, Teradata, Power BI, AI/ML frameworks) to strengthen enterprise insight capabilities and operational efficiency.
Ensure compliance with regulatory, privacy and security requirements (GDPR, CCPA, etc.).
Develop governance controls that reduce business risk, maintain audit readiness, and protect critical operational and customer data.
Monitor emerging trends in manufacturing analytics, AI/ML, supply chain digitisation, and data governance.
Lead proof‑of‑value experiments and pilot programmes focused on improving manufacturing efficiency, product quality and commercial performance through data‑driven innovation.
Supervisory Responsibilities Business & Strategy Leadership
Serve as a strategic advisor to business unit leaders and the executive team, aligning data strategy with the organization's long‑term business plan and operational priorities.
Identify and champion high‑impact opportunities where data, analytics and digital capabilities can drive revenue growth, customer value, cost optimisation and operational resilience in a manufacturing environment.
Lead the development of enterprise data and analytics road‑maps that support strategic initiatives such as supply chain visibility, product lifecycle management, commercial excellence and manufacturing performance.
Establish KPIs and performance frameworks to measure progress on data maturity, strategic initiatives and business value realisation.
Cross‑Functional Partnership & Change Leadership
Serve as the primary liaison between business teams and IT for enterprise data and analytics initiatives.
Build strong relationships with commercial, operational, manufacturing, supply chain and financial leaders to shape and prioritise the data and analytics portfolio.
Collaborate with Executive Leadership, IT and functional leadership to ensure alignment across initiatives.
Lead change management efforts to drive adoption of new processes, capabilities and insights—ensuring solutions are practical, business‑aligned and value‑focused.
Develop and mentor a high‑performing team across analytics, data engineering, master data and governance.
Requirements and Preferred Skills Education
Bachelor's degree in Business, Information Systems, Data Science or related field required.
Master's degree preferred.
Experience
7–10+ years of progressive experience in data analytics, business strategy, digital transformation.
Leadership experience guiding enterprise business intelligence or analytics teams. Driving master data programmes preferred.
Experience working in an industrial manufacturing or similar operationally complex environment strongly preferred.
Leadership & Soft Skills
Exceptional executive communication, relationship building and strategic influence skills.
Ability to translate technical concepts into business language and value narratives.
Strong analytical mindset with proven business acumen.
Effective project leadership, prioritisation, change management and stakeholder alignment abilities.
Technical Skills
Strong understanding of data governance principles and enterprise business intelligence strategy. MDM frameworks preferred.
Experience with BI and analytics tools such as Power BI, advanced analytics and/or machine learning environments.
Proficiency with data integration, ETL/ELT, metadata management and modern data platforms (Snowflake, Databricks, Teradata, etc.) preferred.
PAY & BENEFITS
Full‑Time
Salary Range: $195K–$225K
Bonus Eligible: 20%
Relocation is not provided
Medical, Dental, Vision insurance and other voluntary benefit options: benefits begin on the first day of the month immediately following your date of hire
401(k): 3% company contribution and additional 3% company match
Tuition Reimbursement
WHY GATES? Founded in 1911 in Denver, Colorado, Gates is publicly traded on the NYSE. While we might operate in a vast amount of time zones we operate as 'One Gates' and have a common goal of pushing the boundaries of materials science. We invest in our people, bringing real‑world experience that enables us to solve our customers' diverse challenges of today and anticipate those of tomorrow.
WORK ENVIRONMENT Gates is an Equal Opportunity and is committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job‑related reasons regardless of race, sex, colour, religion, age, disability, pregnancy, citizenship, sexual orientation, gender identity, national origin, protected veteran status, genetic information, marital status or any other consideration defined by law.
While performing the duties of this job, the employee is frequently required to sit; use hands and fingers to work with objects, tools or controls; and use office equipment including computers, telephones, and/or copiers/scanners. The employee must frequently lift and/or move up to 10 pounds.
For individuals assigned and/or hired to work in Colorado, Gates is required by law to include a reasonable estimate of the compensation for this role. This compensation range is specific to the State of Colorado and takes into account various factors that are considered in making compensation decisions, including but not limited to the candidate's relevant experience, qualifications, skills, competencies, and proficiency for the role.
#J-18808-Ljbffr