Director , Data & Analytical Products

DIRECTOR, DATA & ANALYTICAL PRODUCTS

Work Location: In-office, full-time (U.S.-based corporate headquarters)

People Management Responsibilities: Yes

Role Type: Full-Time

POSITION OVERVIEW

The Director of Data & Analytical Products is responsible for defining and delivering enterprise data and analytics capabilities that support strategic decision-making and operational performance within a growing, multi-functional organization.

This role owns the definition of business and functional requirements, governance, and adoption of data and analytics products across the technology landscape, ensuring solutions are reliable, accessible, and aligned to the organization's highest-priority needs. Operating with a product- and value-oriented mindset, the Director partners closely with leaders across technology, commercial, operations, finance, and marketing functions to translate business needs into clearly defined analytics requirements, prioritized roadmaps, and measurable outcomes.

The role is focused on driving adoption, usability, and business impact rather than hands-on technical development. While strong familiarity with modern data platforms, analytics tools, and emerging AI capabilities is required, the Director is accountable for what is built and why-not for building solutions directly.

REQUIREMENTS

Experience: 8-10+ years of experience in data, analytics, or information management roles, including 5+ years leading teams or complex programs. Experience supporting revenue-generating, operational, or customer-facing functions within a data-driven organization is strongly preferred. Experience establishing or scaling a data or analytics function is a plus.

Education: Bachelor's or Master's degree in Information Systems, Data Science, Business Analytics, Computer Science, or a related field. Equivalent professional experience with strong business acumen will be considered.

Demonstrated ability to communicate data and analytics concepts in clear, practical business terms to non-technical stakeholders.

KEY RESPONSIBILITIES

Leadership & Strategy

Define and execute a data and analytics roadmap aligned with enterprise priorities and technology strategy.

Lead and develop cross-functional teams supporting analytics delivery, data management, and governance.

Champion a data-informed culture by promoting effective use of insights in everyday decision-making.

Partner with business and technology leaders to prioritize initiatives based on value, feasibility, and organizational readiness.

Guide the evaluation and selection of analytics, data management, and governance tools in collaboration with key stakeholders.

Data Governance & Risk Management

Establish governance practices that promote data quality, consistency, and appropriate access across the organization.

Support internal control, audit, and data privacy requirements as applicable.

Balance governance standards with usability to ensure data remains actionable and trusted.

Data Platforms & Architecture

Provide direction and oversight for data platforms and architectural standards to ensure scalability and sustainability.

Support modernization initiatives in partnership with technology architecture and engineering teams.

Data Integration & Enablement

Oversee integration of data across core enterprise systems supporting finance, operations, customer, and commercial activities.

Establish expectations for well-documented, reliable, and business-ready data assets.

Analytics & Insights Delivery

Partner with business teams to define KPIs, metrics, and reporting needs across key functional areas.

Ensure analytics and reporting solutions deliver clear, actionable insights through dashboards and self-service tools.

Track adoption and effectiveness of analytics solutions and adjust approaches to maximize business value.

Innovation & Emerging Capabilities

Evaluate and guide the adoption of advanced analytics, automation, and AI-enabled capabilities based on measurable business impact.

Partner with internal teams and external vendors to integrate emerging capabilities into scalable, enterprise-ready solutions.

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