DDi

Director of Enterprise Data

DDi

full-time

Posted on:

Origin:  • 🇺🇸 United States

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Salary

💰 $168,500 - $250,650 per year

Job Level

Lead

Tech Stack

AzureJavaScript

About the role

  • The senior leader of Data Strategy will lead DDI’s data vision, shaping and executing a comprehensive strategy that aligns data architecture, governance and AI innovation across the enterprise. This role will drive the development of scalable data platforms, establish enterprise data standards, and guide the responsible implementation of AI/ML technologies. The ideal candidate will be a seasoned data leader with a deep understanding of modern data ecosystems, including Azure and Databricks, and a proven ability to translate complex data challenges into strategic business value.
  • Key Responsibilities:
  • Develop and lead enterprise-wide data strategy and architecture, aligning data initiatives with DDI’s overall business objectives.
  • Develop and drive data enterprise roadmap with near-term and long-term horizons.
  • Build partnerships and work across senior stakeholders in DDI to ensure data infrastructure and eco system enables strategy.
  • Establish commercial data strategy to enable customer value, define and leverage DDI as a competitive differentiator, and leverage insights and analytics aligned with product strategy
  • Establish data governance frameworks and operational processes to ensure data quality, security, lineage, and compliance.
  • Establish data management goals, data strategies, communications, governance models, and plans necessary to execute data initiatives aligned to business strategies,?to maximize the value of data to the enterprise.
  • Act as a thought leader on emerging data trends, advising senior leadership on opportunities and risks related to data and AI.
  • Develop and evolve data integration frameworks internally and externally in support of corporate strategy
  • Ensure proper security standards are applied with data infrastructure
  • Lead cross-functional prioritization and planning efforts and develop roadmaps and drive priorities in support of our Enterprise Data strategy efforts.
  • Ensure high value data user experience and that data can be leveraged positively internally and externally with right data management platforms.
  • Provide overall direction and guidance to technical team in the design, development, maintenance, and enhancements of business applications and related technologies.
  • Define and enforce best practices for responsible AI/ML development, including model validation, reproducibility, and bias mitigation.
  • Serve as key partner in solving customer and product based data and analytics problems
  • Collaborate with business units to identify high-value AI/ML use cases
  • Lead, develop and mentor team of data engineers and technical specialists

Requirements

  • Bachelor's degree in Computer Science, Engineering or Data Science required
  • 15+ years of technology experience, 7 years minimum of large enterprise data experience
  • 5 years minimum data science background
  • Proven leadership skills, 10 years experience minimum managing technical teams
  • Data bricks experience strongly preferred
  • SAAS industry experience preferred
  • Data commercialization/monetization expertise preferred
  • Data Integration experience
  • Strong leadership and communication skills with ability to lead cohesive and productive teams with high service levels
  • Strategic leader with broad-based knowledge in individual departments, and strong knowledge of industry practice and business principles. Works on complex issues where analysis of situations or data requires an in-depth knowledge of the company.
  • Technology enthusiast with a customer centric mindset who is passionate about leveraging technology to drive digital transformation and value.
  • Ability to perform in a fast paced environment and motivated by complex technical and business challenges
  • Experience partnering with the business/multiple teams to develop strategic technology roadmaps and measuring TCO (total cost of ownership)
  • Must be able to communicate effectively both in speech and writing at an Executive Level with confidence.
  • Ability to influence others and drive consensus across technical and non-technical stakeholder groups