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Director, Data Engineering & Analytics Jobs (Remote work)

61 Job Offers

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Director of Planning Operations
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United States
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158945.00 - 190692.00 USD / Year
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Babylist
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Director, Strategic Finance
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United States
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184000.00 - 255000.00 USD / Year
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Upstart
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Customer Support Manager, AI-First
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United States
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110000.00 USD / Year
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Puffy
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Director of Revenue Operations
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United States , Atlanta
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Not provided
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SpryPoint
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Product Manager
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United States
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115000.00 - 140000.00 USD / Year
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Calibrate
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Storage and Backup Engineer V
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India , Gurgaon
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Rackspace
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Senior Digital Marketing Director
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United States
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Geonetric
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Director Product-Led Growth
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United States , New York City
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124000.00 - 210000.00 USD / Year
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Storyblok
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Director of Product Management, Consumer Products
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United States
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220000.00 - 250000.00 USD / Year
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Talkiatry
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Systems Director, Population Health Service Organizations
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United States , Phoenix
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67.92 - 101.02 USD / Hour
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American Nursing Care
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Director, Technical Program Management
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United States , Bethesda
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Aledade, Inc.
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Director, Customer Success - EMEA / ROW
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Ireland , Dublin
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Tines
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Product Owner Director
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United States
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160000.00 - 170000.00 USD / Year
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Strive Compounding Pharmacy
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Director of Growth
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United States
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178300.00 - 220100.00 USD / Year
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Octave
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Vp of sales, apac
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South Korea
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Duetto
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Vp of sales, apac
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Thailand
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Duetto
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Vp Of Sales, Apac
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Duetto
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Vp of sales, apac
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Indonesia
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Duetto
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Director, Growth Marketing
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United States
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180000.00 - 220000.00 USD / Year
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Cresta
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Field Technology Director/ CTO – Strategic Industries
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United States
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Cresta
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Discover high-impact Director, Data Engineering & Analytics jobs, a senior leadership role at the intersection of technology, strategy, and business intelligence. Professionals in this position are responsible for the entire data lifecycle, transforming raw information into a strategic asset that drives decision-making and competitive advantage. They serve as the visionary leader for an organization's data function, building and mentoring high-performing teams of data engineers, analysts, and scientists. The core mission is to architect reliable, scalable data infrastructure and foster a data-driven culture. Typical responsibilities for a Director of Data Engineering & Analytics encompass strategic and operational leadership. They define the multi-year roadmap for data platforms, ensuring the architecture can handle exponential growth and evolving business needs. A key duty is overseeing the development and maintenance of robust, efficient data pipelines that ingest, process, and store vast datasets. They own the enterprise data model, ensuring consistency, quality, and governance across all use cases. Furthermore, they collaborate with executive stakeholders to align data initiatives with business goals, establishing frameworks to prioritize investments that deliver strong ROI. Ultimately, they are accountable for the reliability, accuracy, security, and accessibility of the organization's data. To excel in these leadership jobs, a specific blend of technical depth and managerial acumen is required. Candidates typically possess 10+ years of progressive experience in data-intensive environments, with a proven track record of building and scaling data organizations. Technical expertise must include mastery of modern data stack components (cloud data warehouses like Snowflake, BigQuery, or Redshift; orchestration tools like Airflow; and transformation tools like dbt), along with proficiency in SQL and Python for analyzing large-scale data. They must demonstrate deep knowledge of data modeling, pipeline architecture, and performance optimization. Essential soft skills include strategic thinking, exceptional communication to translate technical concepts for business leaders, and a strong aptitude for talent development. A background in data governance, security, and compliance is also a standard requirement for these critical jobs. This career path is ideal for those who want to shape an organization's future through data. Exploring Director, Data Engineering & Analytics jobs opens doors to roles where you will set the strategic direction for how a company leverages its most valuable resource: information. You will lead the charge in building foundational systems that enable advanced analytics, business intelligence, and machine learning, directly impacting product development, operational efficiency, and market strategy.

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