Senior Enterprise Data architect /Strategist

Role : Senior Enterprise Data Strategist

Location- Dallas, TX-Onsite

Long Terms

Interview: 2 Rounds (Video)

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/Google Cloud Platform), 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.