Director, Data Analytics BPM

Hertz•Atlanta, GA

About The Position

The Director, Data & Analytics Business Process Management provides strategic leadership for the governance, optimization, and continuous improvement of the business processes that drive enterprise data, analytics, AI, and digital product delivery. Acting as a key liaison between business stakeholders, product teams, data and technology organizations, this role ensures investments are effectively prioritized, governed, and aligned with business objectives. The Director establishes and oversees scalable frameworks for demand management, portfolio governance, strategic planning, product ownership, funding oversight, KPI measurement, and cross-functional execution, enabling operational excellence and the delivery of measurable business value across the enterprise.

Requirements

Bachelor’s degree in Computer Science, Information Systems, or a related field required
10+ years of leadership experience in Business Process Management, Portfolio Management, Product Operations, Program Management, Data & Analytics, or Technology Strategy
Proven success developing governance frameworks, operating models, prioritization processes, portfolio management practices, and scalable delivery organizations
Strong understanding of Data Engineering, Business Intelligence, Data Governance, AI/ML, Product Management, Agile, and Lean methodologies
Experience leading strategic planning, budgeting, resource planning, portfolio governance, and value realization initiatives
Demonstrated ability to influence executive stakeholders, align cross-functional priorities, and deliver measurable business outcomes
Excellent communication, facilitation, stakeholder management, and executive presentation skills
Proven ability to build high-performing teams, drive organizational change, and establish scalable governance and operating models
Strategic, data-driven leader with a focus on business outcomes, operational excellence, continuous improvement, and execution
Strong collaborator and executive partner who can translate strategy into measurable value and organizational transformation

Nice To Haves

Experience leading PMO, Product Operations, Portfolio Governance, Data & Analytics business management, or enterprise transformation initiatives is preferred

Responsibilities

Lead the Data & Analytics operating model, aligning business priorities, product strategies, technology investments, and delivery outcomes to drive enterprise value
Establish governance frameworks, intake and prioritization processes, and execution standards across Data Engineering, Analytics, AI, and Product teams
Drive strategic planning, portfolio management, roadmap development, and investment decisions while measuring business value, adoption, and ROI
Build and mature Product Ownership and Product Management practices, including product governance, lifecycle management, roadmap planning, and backlog prioritization
Partner with business leaders to translate strategic objectives into scalable product capabilities and measurable outcomes
Define and oversee business processes that support compliance, risk management, audit readiness, and operational controls
Collaborate with Governance, Security, Privacy, and Compliance teams to embed governance requirements into data and product delivery processes
Lead demand management, resource planning, prioritization, dependency management, and execution governance for enterprise Data & Analytics initiatives
Develop and standardize methodologies, frameworks, templates, and best practices that improve delivery consistency, transparency, and accountability
Monitor portfolio performance through KPIs, OKRs, dashboards, and value realization reporting, ensuring investments deliver measurable business impact
Drive continuous improvement initiatives focused on operational efficiency, process optimization, automation, and service quality
Build and lead high-performing teams across business process management, portfolio governance, product operations, and strategic planning
Partner with executive and cross-functional leaders to align priorities, governance, delivery execution, and organizational objectives
Provide executive visibility into portfolio health, risks, dependencies, performance, and business outcomes
Lead strategic data modernization, analytics, AI, governance, and digital transformation initiatives that advance enterprise goals
Foster a culture of accountability, collaboration, innovation, and continuous improvement while translating Data & Analytics investments into measurable business results