
5001 - 10000 employees
Manufacturing • Engineering • Sustainability
Hillenbrand is a global provider of highly engineered, mission-critical processing equipment and systems, serving a diverse range of industries including durable plastics, food, and recycling. With a commitment to innovation and sustainability, Hillenbrand focuses on shaping solutions that impact lives and drive growth in a continually changing world. The company emphasizes excellence and continuous improvement, ensuring their products not only meet present-day needs but also anticipate future demands.
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5001 - 10000 employees
Manufacturing • Engineering • Sustainability
Hillenbrand is a global provider of highly engineered, mission-critical processing equipment and systems, serving a diverse range of industries including durable plastics, food, and recycling. With a commitment to innovation and sustainability, Hillenbrand focuses on shaping solutions that impact lives and drive growth in a continually changing world. The company emphasizes excellence and continuous improvement, ensuring their products not only meet present-day needs but also anticipate future demands.
• Define and lead business intelligence strategy by aligning enterprise data, analytics, and reporting priorities with digital transformation goals and measurable business outcomes. • Guide data engineering and architecture by overseeing Azure Data Factory (ADF), Databricks, Azure SQL, Data Lake, and related platform capabilities to deliver secure, scalable, and reliable data solutions. • Build and standardize Power BI reporting by establishing dashboards, reports, semantic models, and workspace practices that support consistent metrics, self-service analytics, and effective data storytelling. • Strengthen data governance by partnering on data quality, lineage, metadata, stewardship, and access controls to improve trust, compliance, and usability across enterprise data assets. • Lead and develop multidisciplinary teams by setting clear priorities, supporting collaboration, and maintaining disciplined execution across data engineering, analytics, visualization, and project delivery work. • Manage business intelligence programs by maintaining roadmaps, tracking key performance indicators, resolving delivery risks, and coordinating internal teams and external partners toward meaningful results. • Partner with business and technology leaders by translating operational needs into practical analytics solutions that improve decision-making, performance visibility, and continuous improvement.
• Bachelor’s degree in computer science, information systems, data analytics, or a related field • 10+ years of experience in business intelligence, analytics, data engineering, or related data-focused work, including 5+ years leading teams, programs, or enterprise initiatives. • Strong working knowledge of Azure Data Factory, Databricks, Azure SQL, and Microsoft Power BI in business-critical environments. • Experience building and supporting data pipelines, transformation workflows, data models, and reporting solutions that are scalable, secure, and reliable. • Working knowledge of data governance practices, including data quality, lineage, metadata, stewardship, and role-based access controls. • Ability to lead cross-functional work, prioritize effectively, and drive disciplined execution across multiple initiatives with sound judgment and accountability. • Strong communication skills, including the ability to explain technical concepts clearly, align stakeholders, and present progress, risks, and outcomes in a practical way. • Practical problem-solving skills, adaptability, and a continuous improvement mindset, with a collaborative approach that supports learning, consistency, and responsible decision-making.
• EEO Employer • Reasonable accommodations for job seekers
Apply Now🕒 June 3
5001 - 10000
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