Overview
On Site
Full Time
Skills
Business Acumen
Data Integration
Product Engineering
Dashboard
Reporting
Data Engineering
Management
Data Security
Regulatory Compliance
Agile
Workflow
Data Analysis
Product Innovation
Real-time
Decision-making
Strategic Planning
Roadmaps
Monetization
Data Architecture
Data Governance
Cloud Computing
Snow Flake Schema
Python
SQL
SaaS
Supply Chain Management
Analytics
Leadership
Collaboration
Artificial Intelligence
Machine Learning (ML)
Product Development
Job Details
Senior Director, Data
Job Summary
Location: Austin TX (Hybrid, 2-3 days onsite per week)
Experience: 10+ years in data leadership roles
Job Type: Permanent
Ideal Candidate Should Have:
Proven experience in building and leading high-performing data teams.
Expertise in data strategy, governance, analytics, and AI/ML solutions.
Strong technical knowledge of Snowflake, DBT, Airflow, Python, and SQL.
Experience integrating data across SaaS platforms and supply chain solutions.
Ability to drive collaboration between data, engineering, and product teams.
A track record of breaking down silos and creating unified, scalable data ecosystems.
Strong business acumen to translate data insights into strategic business decisions.
Job Description
Thinking Minds Inc. is seeking a Senior Director, Data for one of our clients, a leader in the technology and SaaS industry. This role will be responsible for defining and executing the organization-wide data strategy, building a best-in-class data platform, and ensuring seamless data integration across multiple products and business lines.
The ideal candidate will bring deep technical expertise, strong leadership abilities, and a passion for leveraging data to drive business success. This is a high-impact role requiring close collaboration with senior leaders across product, engineering, and analytics teams.
Key Responsibilities:
Data Strategy & Governance:
Develop and execute a unified data strategy that aligns with business and product goals.
Establish data governance frameworks, ensuring consistency and trust in data across the organization.
Define standardized metrics, dashboards, and reporting processes.
Data Engineering & Architecture:
Oversee the development of a scalable, reliable, and high-performance data platform.
Optimize data pipelines, ingestion, and processing architectures to enhance efficiency and reduce technical debt.
Ensure data security, compliance, and regulatory adherence.
Cross-Functional Collaboration:
Drive integration between data analytics, engineering, and product teams.
Implement agile workflows for seamless data collaboration and delivery.
Partner with executives to translate data insights into strategic decisions.
AI, ML & Data Analytics:
Build data-powered products leveraging AI/ML for customer insights and product innovation.
Ensure real-time data availability to support decision-making and automation.
Roadmap Execution & Business Impact:
Lead strategic planning, quarterly roadmaps, and key data initiatives.
Align data priorities with business needs and quantify the impact of data-driven initiatives.
Drive the vision for monetizing data products and expanding analytics capabilities.
Qualifications & Skills:
10+ years of experience leading data strategy, engineering, or analytics teams in a high-growth environment.
Expertise in data architecture, data governance, and cloud-based data platforms.
Proficiency in Snowflake, DBT, Airflow, Python, and SQL.
Experience in SaaS platforms, supply chain analytics, or consumer data ecosystems.
Strong leadership skills with a track record of breaking down data silos and fostering collaboration.
Ability to translate complex data into actionable business insights.
Experience in AI/ML-driven product development is a plus.
This is an exciting opportunity to shape the future of data for a fast-growing organization and lead a team that is revolutionizing the industry.
Job Summary
Location: Austin TX (Hybrid, 2-3 days onsite per week)
Experience: 10+ years in data leadership roles
Job Type: Permanent
Ideal Candidate Should Have:
Proven experience in building and leading high-performing data teams.
Expertise in data strategy, governance, analytics, and AI/ML solutions.
Strong technical knowledge of Snowflake, DBT, Airflow, Python, and SQL.
Experience integrating data across SaaS platforms and supply chain solutions.
Ability to drive collaboration between data, engineering, and product teams.
A track record of breaking down silos and creating unified, scalable data ecosystems.
Strong business acumen to translate data insights into strategic business decisions.
Job Description
Thinking Minds Inc. is seeking a Senior Director, Data for one of our clients, a leader in the technology and SaaS industry. This role will be responsible for defining and executing the organization-wide data strategy, building a best-in-class data platform, and ensuring seamless data integration across multiple products and business lines.
The ideal candidate will bring deep technical expertise, strong leadership abilities, and a passion for leveraging data to drive business success. This is a high-impact role requiring close collaboration with senior leaders across product, engineering, and analytics teams.
Key Responsibilities:
Data Strategy & Governance:
Develop and execute a unified data strategy that aligns with business and product goals.
Establish data governance frameworks, ensuring consistency and trust in data across the organization.
Define standardized metrics, dashboards, and reporting processes.
Data Engineering & Architecture:
Oversee the development of a scalable, reliable, and high-performance data platform.
Optimize data pipelines, ingestion, and processing architectures to enhance efficiency and reduce technical debt.
Ensure data security, compliance, and regulatory adherence.
Cross-Functional Collaboration:
Drive integration between data analytics, engineering, and product teams.
Implement agile workflows for seamless data collaboration and delivery.
Partner with executives to translate data insights into strategic decisions.
AI, ML & Data Analytics:
Build data-powered products leveraging AI/ML for customer insights and product innovation.
Ensure real-time data availability to support decision-making and automation.
Roadmap Execution & Business Impact:
Lead strategic planning, quarterly roadmaps, and key data initiatives.
Align data priorities with business needs and quantify the impact of data-driven initiatives.
Drive the vision for monetizing data products and expanding analytics capabilities.
Qualifications & Skills:
10+ years of experience leading data strategy, engineering, or analytics teams in a high-growth environment.
Expertise in data architecture, data governance, and cloud-based data platforms.
Proficiency in Snowflake, DBT, Airflow, Python, and SQL.
Experience in SaaS platforms, supply chain analytics, or consumer data ecosystems.
Strong leadership skills with a track record of breaking down data silos and fostering collaboration.
Ability to translate complex data into actionable business insights.
Experience in AI/ML-driven product development is a plus.
This is an exciting opportunity to shape the future of data for a fast-growing organization and lead a team that is revolutionizing the industry.
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.