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Sr Business Data Lead/ Data Strategy Lead

Salary undisclosed

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Sr Business Data Lead/ Data Strategy Lead

12 Months Contract - Extension long term

Job description:

Job Summary:

  • We are seeking a seasoned Data Strategy and Architect to lead our enterprise data architecture and drive strategic initiatives that enable data-driven decision-making.
  • This role requires a unique blend of technical expertise, business acumen, and visionary leadership to align data initiatives with organizational goals and ensure the scalability, security, and governance of our data assets.

Key Responsibilities:

  • Develop and implement a holistic data strategy aligned with business objectives.
  • Identify opportunities to leverage data for innovation, operational efficiency, and competitive advantage.
  • Collaborate with business leaders to understand data needs and translate them into strategic initiatives.
  • Define data governance policies, standards, and best practices.
  • Design and maintain the enterprise data architecture including data models, metadata, master data, and data integration frameworks.
  • Define the architecture for data warehousing, data lakes, and cloud-based data platforms.
  • Lead the development and maintenance of data pipelines, ETL processes, and data cataloging systems.
  • Ensure the scalability, security, and integrity of data architecture.
  • Leadership & Collaboration:
  • Guide cross-functional teams including data engineers, analysts, scientists, and business stakeholders.
  • Serve as a thought leader in data modernization efforts and emerging technologies (AI/ML, big data, real-time analytics).
  • Evaluate and recommend tools, platforms, and technologies to support the data ecosystem.
  • Provide mentorship and establish architecture best practices across the organization.

Qualifications:

  • Bachelor s or Master s degree in Computer Science, Information Systems, Data Science, or a related field.
  • 8+ years of experience in data architecture, data engineering, or data strategy roles.
  • Assisted with migration of project documentation from Confluence to SharePoint
  • Strong experience with modern data platforms (e.g., Snowflake, Databricks, Google BigQuery, Azure Synapse).
  • Deep understanding of data modeling, ETL, data governance, and data security.
  • Proven experience with cloud technologies (AWS, Azure, Google Cloud Platform) and distributed systems.
  • Strong communication and leadership skills to engage with technical and non-technical stakeholders.
  • Created project management infrastructure in Confluence & Jira, defined epics and tasks, gathered requirements from internal customers, managed developer activities and deliverables.
  • Created high level architecture proposal of future-state Data Lake House with proposed tech stack alternatives that focused on Data Bricks, Snowflake, Kafka ingestion via Stream Kap, and S3 data lake structures
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job

Sr Business Data Lead/ Data Strategy Lead

12 Months Contract - Extension long term

Job description:

Job Summary:

  • We are seeking a seasoned Data Strategy and Architect to lead our enterprise data architecture and drive strategic initiatives that enable data-driven decision-making.
  • This role requires a unique blend of technical expertise, business acumen, and visionary leadership to align data initiatives with organizational goals and ensure the scalability, security, and governance of our data assets.

Key Responsibilities:

  • Develop and implement a holistic data strategy aligned with business objectives.
  • Identify opportunities to leverage data for innovation, operational efficiency, and competitive advantage.
  • Collaborate with business leaders to understand data needs and translate them into strategic initiatives.
  • Define data governance policies, standards, and best practices.
  • Design and maintain the enterprise data architecture including data models, metadata, master data, and data integration frameworks.
  • Define the architecture for data warehousing, data lakes, and cloud-based data platforms.
  • Lead the development and maintenance of data pipelines, ETL processes, and data cataloging systems.
  • Ensure the scalability, security, and integrity of data architecture.
  • Leadership & Collaboration:
  • Guide cross-functional teams including data engineers, analysts, scientists, and business stakeholders.
  • Serve as a thought leader in data modernization efforts and emerging technologies (AI/ML, big data, real-time analytics).
  • Evaluate and recommend tools, platforms, and technologies to support the data ecosystem.
  • Provide mentorship and establish architecture best practices across the organization.

Qualifications:

  • Bachelor s or Master s degree in Computer Science, Information Systems, Data Science, or a related field.
  • 8+ years of experience in data architecture, data engineering, or data strategy roles.
  • Assisted with migration of project documentation from Confluence to SharePoint
  • Strong experience with modern data platforms (e.g., Snowflake, Databricks, Google BigQuery, Azure Synapse).
  • Deep understanding of data modeling, ETL, data governance, and data security.
  • Proven experience with cloud technologies (AWS, Azure, Google Cloud Platform) and distributed systems.
  • Strong communication and leadership skills to engage with technical and non-technical stakeholders.
  • Created project management infrastructure in Confluence & Jira, defined epics and tasks, gathered requirements from internal customers, managed developer activities and deliverables.
  • Created high level architecture proposal of future-state Data Lake House with proposed tech stack alternatives that focused on Data Bricks, Snowflake, Kafka ingestion via Stream Kap, and S3 data lake structures
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job