Business Data & Technology Lead
Hunter Douglas
| Company | Hunter Douglas |
| Category | Data & Analytics |
| Location | Sao Paulo |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 14 May 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Hunter Douglas is the world’s leading manufacturer of window coverings and a major manufacturer of architectural products. We are a brand that you know and trust. With more than 100 years of innovation, we’ve defined our industry with proprietary products that deliver revolutionary style and functionality and can be found in millions of homes and commercial buildings globally.
We are searching for candidates that are driven, intelligent, creative, and entrepreneurial. By offering challenging and accelerated opportunities for growth, powered by a shared hunger for success, we create a space for your career to thrive. In return for your expertise, we are committed to providing competitive and robust total compensation and benefit packages to ensure you feel valued. Our dream is to become the fastest growing, most loved, window covering company in the world. What’s yours? One of the pillars of our North American division is spread across four different sites in Mexico where a blend of manufacturing and fabrication occurs. At each location we pride ourselves on exemplary safety and employee-first standards, as we pioneer production processes to be best in class. It is our focus on quality and growth that makes us an employer of choice and helps us maintain our culture of excellence
Position Overview
The Business Data & Technology Lead is a strategic, hands-on leadership role responsible for defining and driving the data and technology agenda within a critical business domain such as Sales, Finance, HR, or Operations. This role partners closely with business leaders and technical teams to translate complex business problems into scalable data solutions, analytics, and technology capabilities that drive measurable outcomes.
This position directly impacts business performance by enabling better decision-making, improving operational efficiency, and supporting global MBOs through standardized, trusted data and reusable analytics across markets.
What you'll do
Define and standardize core data entities, metrics, hierarchies, and models within your business domain
Build and oversee data pipelines, quality frameworks, and data products to ensure reliable analytics and reporting
Translate business needs into clear problem statements, data requirements, and prioritized roadmaps
Lead cross-functional delivery teams (analysts, engineers, contractors, and stakeholders) to execute data and technology initiatives
Drive adoption of solutions by ensuring usability, quality, and alignment with business goals
Leverage AI-assisted development, automation, and modern data tools to accelerate delivery and improve efficiency
Develop dashboards, analytics products, and lightweight applications that solve high-value business problems
Promote reuse of data assets, models, and solutions across regions and functions to enable global scalability
All other duties as assigned
Who you are
Bachelor’s degree in Data, Engineering, Computer Science, Business, or related field (Master’s preferred)
5+ years of experience in data, analytics, technology, consulting, or digital transformation roles
Strong hands-on experience with SQL, data modeling, pipelines, and data quality frameworks
Practical experience with Python, APIs, automation, or modern data workflows
Proven ability to translate business problems into data-driven solutions and technical requirements
Experience leading cross-functional teams including analysts, engineers, and external partners
Strong communication skills with the ability to influence senior stakeholders and drive alignment
Experience with BI tools (Power BI, Tableau, Looker) and cloud platforms (Snowflake, Databricks, Azure, AWS, or GCP)
Familiarity with AI-assisted development tools and modern data stack components (dbt, Airbyte, Git, etc.)
Ability to work in a fast-paced, global, and matrixed environment with a pragmatic, solutions-oriented mindset
What's in
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