Aaura Softwares
Senior Enterprise Data Strategist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Enterprise Data Strategist in Dallas, TX, with a long-term contract. Pay rate is unspecified. Requires 10+ years in data strategy, healthcare industry knowledge, and proficiency in cloud platforms (AWS, Azure).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 21, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#ML (Machine Learning) #Scala #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #Azure #Data Modeling #Data Strategy #Data Governance #Leadership #MDM (Master Data Management) #Databricks #"ETL (Extract #Transform #Load)" #Strategy #AI (Artificial Intelligence) #Data Architecture #Data Integrity #Cloud #Compliance
Role description
Role : Senior Enterprise Data Strategist
Location- Dallas, TX-Onsite
Long Terms
Job Summary:
The Senior Enterprise Data Strategist will define and execute an actionable, future-proof enterprise data strategy that aligns with business priorities across supply chain, finance, marketing, and distribution. This role ensures the data ecosystem is scalable and ready to support AI, machine learning, and advanced analytics, driving measurable business outcomes and operational efficiency. This role ensures data is a strategic asset, enabling actionable insights, operational efficiency, and compliance in a highly regulated healthcare environment
Key Responsibilities :
• Develop Future-Ready Data Strategy: Design and implement a holistic data strategy that supports current business needs and future AI/analytics capabilities.
• Business Alignment: Collaborate with senior stakeholders to translate business objectives into data-driven initiatives across supply chain, finance, marketing, and operations.
• Data Governance & Quality: Establish governance frameworks, standards, and processes to ensure data integrity, compliance, and interoperability.
• Enable Advanced Analytics & AI: Drive adoption of modern architectures and platforms to enable predictive analytics, machine learning, and real-time insights.
• Change Leadership: Promote data literacy and foster a culture of data-driven decision-making across the organization.
Requirements:
• Experience: 10+ years in data strategy, governance, or enterprise data architecture, with proven success in large-scale transformation. 3+ years with cloud-based data architecture in a modern environment (Databricks, Azure, AWS).
• Industry Knowledge: Strong understanding of healthcare, supply chain, and finance data domains, including KPIs and compliance requirements.
• Technical Expertise: Proficiency in cloud data platforms (AWS/Azure/GCP), data modeling, integration patterns, MDM, and familiarity with AI/ML concepts
• Strategic Vision: Ability to design future-proof architectures that scale for advanced analytics and AI workloads.
• Leadership & Communication: Skilled at influencing senior stakeholders, leading cross-functional teams, and articulating complex concepts clearly. Extremely strong communication, critical thinking, conceptual and analytical skills.
Role : Senior Enterprise Data Strategist
Location- Dallas, TX-Onsite
Long Terms
Job Summary:
The Senior Enterprise Data Strategist will define and execute an actionable, future-proof enterprise data strategy that aligns with business priorities across supply chain, finance, marketing, and distribution. This role ensures the data ecosystem is scalable and ready to support AI, machine learning, and advanced analytics, driving measurable business outcomes and operational efficiency. This role ensures data is a strategic asset, enabling actionable insights, operational efficiency, and compliance in a highly regulated healthcare environment
Key Responsibilities :
• Develop Future-Ready Data Strategy: Design and implement a holistic data strategy that supports current business needs and future AI/analytics capabilities.
• Business Alignment: Collaborate with senior stakeholders to translate business objectives into data-driven initiatives across supply chain, finance, marketing, and operations.
• Data Governance & Quality: Establish governance frameworks, standards, and processes to ensure data integrity, compliance, and interoperability.
• Enable Advanced Analytics & AI: Drive adoption of modern architectures and platforms to enable predictive analytics, machine learning, and real-time insights.
• Change Leadership: Promote data literacy and foster a culture of data-driven decision-making across the organization.
Requirements:
• Experience: 10+ years in data strategy, governance, or enterprise data architecture, with proven success in large-scale transformation. 3+ years with cloud-based data architecture in a modern environment (Databricks, Azure, AWS).
• Industry Knowledge: Strong understanding of healthcare, supply chain, and finance data domains, including KPIs and compliance requirements.
• Technical Expertise: Proficiency in cloud data platforms (AWS/Azure/GCP), data modeling, integration patterns, MDM, and familiarity with AI/ML concepts
• Strategic Vision: Ability to design future-proof architectures that scale for advanced analytics and AI workloads.
• Leadership & Communication: Skilled at influencing senior stakeholders, leading cross-functional teams, and articulating complex concepts clearly. Extremely strong communication, critical thinking, conceptual and analytical skills.
