Sr. Director, Data Analytics & AI Innovation

Verizon•Basking Ridge, NJ
•$165,000 - $316,000•Hybrid

About The Position

The Senior Director of Data Analytics & AI Innovation is a strategic leader reporting directly to the Chief Operating Officer. The role will evolve the data function into a proactive growth and innovation engine by advancing data standardization and democratization, integrating modern AI/ML across the operational footprint, and uncovering insights that transform the business model and accelerate revenue and margin growth. The position leads, champions, and mentors two global teams: the Business Intelligence Center of Excellence and the Advanced Data Analytics division. It is responsible for developing their capabilities to support an AI-first economy, aligning data strategy with operational efficiency and financial outcomes, and coordinating company-wide objectives and cross-functional roadmaps. This is a hybrid role with a defined work location, combining work from home with at least three days per week in the office. The manager determines the office location. Scheduled weekly hours are 40.

Requirements

  • Bachelor’s degree in a quantitative field such as Data Science, Statistics, Computer Science, or Economics, or equivalent practical experience.
  • At least 8 years of relevant experience.
  • At least 7 years of experience leading, scaling, and cultivating talent within large, diverse, global data teams.
  • At least 5 years of deep experience in a fast-paced SaaS or technology enterprise.
  • Proven track record in financial analysis and commercial model creation, and in tying data initiatives directly to gross margin improvements.
  • Strong experience in business process improvement and optimization, such as Lean Six Sigma or Agile methodology, applied in modern technology environments.

Nice To Haves

  • Master’s degree or MBA.
  • Demonstrated success designing cloud-native data strategies using modern data stacks such as Snowflake, BigQuery, and Looker/Tableau.
  • Hands-on experience implementing data governance or data contracts to support AI/ML pipelines.
  • Strong executive presence and ability to translate complex technical concepts to influence senior stakeholders and client relationships.

Responsibilities

  • Architect and execute a data roadmap tied to operational efficiency and P&L outcomes.
  • Partner with Sales, Product, and Finance to develop predictive revenue and margin models that stress-test commercial strategies.
  • Shift analytics from descriptive reporting toward predictive and prescriptive insights, using AI tools to identify customer churn, pricing optimization, and operational expansion opportunities.
  • Lead the move toward an automated self-service data sandbox model, implementing user-friendly semantic layers and data literacy training so non-technical business units can safely access reliable data.
  • Modernize data quality and governance by using automation and machine learning to clean, tag, and standardize legacy data systems and establish a single source of truth across platforms.
  • Champion and mentor the analytics team, foster continuous development, and equip team members with next-generation skills and productivity tools, including automated data pipelines and intelligent coding assistants.
  • Reduce repetitive work so the team can focus on complex operational challenges and act as strategic business partners.
  • Oversee the operational rhythm of company-wide OKRs alongside the COO, ensuring cross-functional roadmaps align with data capabilities and long-term business strategy.
  • Lead and develop the Business Intelligence Center of Excellence and Advanced Data Analytics division.

Benefits

  • Medical, dental, and vision coverage.
  • Short- and long-term disability insurance.
  • Basic and supplemental life insurance and AD&D insurance.
  • Identity theft protection.
  • Pet insurance.
  • Group home and auto insurance.
  • Matched 401(k) savings plan.
  • Up to 8 company-paid holidays per year.
  • Up to 6 personal days per year.
  • Paid parental leave.
  • Adoption assistance.
  • Tuition assistance.
  • Other incentives and an award-winning total rewards package.
  • Potential premium pay, such as overtime, shift differential, holiday pay, and allowances, depending on the role.
  • Up to 15 days of vacation per year for newly hired employees, with vacation increasing with additional service.
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