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Leads data engineering and analytics engineering teams delivering production pipelines, curated data products, semantic models, dashboards, and governed Databricks lakehouse capabilities. Owns platform administration, data quality, observability, security, cost optimization, reliability, and engineering standards. Manages internal and external resources, mentors engineers, drives AI-assisted development, partners with stakeholders, and reports roadmap progress to leadership. Requires strong hands-on Databricks expertise, technical leadership, advanced SQL, data modeling, CI/CD, and up to 5% travel.

Leads analytics engineering standards and hands-on development of curated Databricks Gold-layer models, domain data marts, governed metric views, and AI/BI dashboards. Builds production transformations with SQL and PySpark, implements testing, lineage, documentation, security, CI/CD, and performance optimization. Partners with stakeholders to define enterprise metrics, mentors engineers and analysts, reviews technical work, establishes data contracts, and enables trustworthy self-service analytics and AI-assisted data access.

Lead the design and governance of curated analytics data models, domain data marts, enterprise metric definitions, and Databricks dashboards. Build tested, documented, performant transformations using SQL and Python/PySpark; establish data contracts, lineage, access controls, and CI/CD practices; review and mentor engineers; align stakeholders on metrics; and enable trustworthy self-service analytics and AI-assisted data experiences.

Leads demand planning and collaborative forecasting across multiple product families. Responsibilities include preparing 18-month demand plans for S&OP/IBP reviews, quantifying risks and opportunities, maintaining forecasting models, managing SAP APO functionality, aligning consensus forecasts with supply planning, supporting new product transitions, and contributing to budgeting and scenario planning. The role also drives forecast accuracy, process effectiveness, and continuous improvement with cross-functional stakeholders.

Leads territory sales for LiftMaster CAS and PAS products by managing prospect pipelines, guiding regional sales strategy, presenting to partners and customers, analyzing market data, developing dealer relationships, and mentoring sales teams. The role requires extensive domestic and international travel, CRM activity tracking, product expertise, and cross-functional project leadership.

Manages a middleware software engineering team responsible for web services, databases, APIs, and IoT backend systems. Oversees resource planning, project execution, budgets, architecture, software quality, CI/CD, release processes, and technical standards. Leads recruiting, performance management, training, and consultant coordination while driving continuous improvement and technology roadmaps. Collaborates with product, marketing, architecture, engineering, and scrum teams to deliver reliable, secure, high-quality software products.

Leads analytics engineering standards and builds governed Gold-layer data models, domain data marts, metric views, dashboards, and self-service analytics on Databricks. Develops SQL and PySpark transformations, data quality tests, documentation, lineage, and access controls. Partners with stakeholders to define enterprise metrics, reviews technical work, mentors engineers, manages data contracts, and improves reporting estates. Applies CI/CD, AI-assisted development, performance optimization, and cost management while leading projects through adoption.

Leads sales and business intelligence analytics, including pipeline ROI, incentive analysis, forecasting, year-over-year drivers, and connectivity trends. Develops dashboards, analytical tools, methodologies, and business processes using internal and external data. Partners with cross-functional stakeholders and IT to define requirements, integrate systems, and communicate actionable insights to leadership. Requires strong quantitative analysis, data visualization, stakeholder communication, and project leadership skills.

Own end-to-end product design across myQ mobile, web, and connected-hardware experiences. Lead discovery, research, wireframing, prototyping, high-fidelity UI, design-system development, and implementation handoff. Partner with Product and Engineering leadership to shape strategy, influence stakeholders, and deliver measurable outcomes. Advocate for AI-assisted design workflows, mentor designers, and lead initiatives that improve design quality, processes, and tooling across the organization.

Leads large, globally distributed product and platform programs from design through commercialization. Builds and guides cross-functional teams, manages deliverables, risks, conflicts, scope changes, metrics, and process improvements. Presents program status and mitigation plans to executives, provides New Product Development training, ensures business-process compliance, and supports continuous improvement while coordinating stakeholders across the organization.