Finance Dir - Reporting & Data Analytics

Hewlett Packard Enterprise

1d•PLN 353,000 - PLN 705,000•Hybrid

About The Position

Hewlett Packard Enterprise is seeking a Finance Director to lead enterprise reporting, analytics, data governance, and platform modernization. The role defines the strategy and roadmap for reporting and analytics platforms and oversees executive dashboards, scorecards, and performance reporting across business functions. It leads efforts to standardize metrics, improve data quality, automate reporting, and modernize platforms using Azure, Databricks, Power BI, AI, and cloud-based analytics. The position directs financial reporting and planning solutions covering orders and shipments, billing and revenue, general ledger, P&L and balance sheets, procurement and spend, workforce and headcount, and financial planning and forecasting. It ensures reporting integrity, auditability, and compliance with financial policies. As a senior advisor to business and finance leaders, the director translates business needs into scalable data solutions and provides data-driven recommendations. The role also leads global analytics, reporting, and data engineering teams, supporting their development and fostering innovation, continuous improvement, and collaboration. This hybrid position requires working an average of two days per week from an HPE office. The listed annual base salary range for Poland is PLN 353,000–705,000; variable incentives may also be offered.

Requirements

First-level university degree focused in business or economics.
Typically 12 or more years of experience in a finance function, or an exceptionally strong background in another relevant and applicable area of business.
Typically 4 or more years of people management experience.
Superior ability to provide finance consultation to senior managers within area of expertise.
Superior understanding of accounting principles and financial analysis.
Excellent project management and prioritization skills.
Excellent people management skills, including managing teams across geographies.
Ability to build partnerships across functions.
Excellent communication skills for a wide variety of audiences.
Strong leadership and staff development skills.
Excellent consulting, influence, and negotiation skills.

Nice To Haves

Advanced degree.
Accounting certification, such as CPA.
MBA.

Responsibilities

Define and execute the vision, strategy, and roadmap for enterprise reporting and analytics platforms.
Lead delivery of executive dashboards, scorecards, and performance reporting across business functions.
Oversee enterprise reporting systems for financial, operational, and strategic business processes.
Automate and simplify reporting processes to improve efficiency and user adoption.
Establish and maintain enterprise data governance standards, policies, and operating models.
Ensure consistent KPI definitions and metric alignment across Finance, Sales, Marketing, Supply Chain, and Services.
Lead metadata governance and data quality initiatives.
Facilitate cross-functional alignment on business metrics and reporting standards.
Lead platform modernization involving Azure, Databricks, Power BI, AI, and cloud-based analytics platforms.
Develop business cases and transformation roadmaps for legacy reporting platform migrations.
Partner with enterprise architecture and engineering teams on scalable data platform strategies.
Evaluate emerging technologies and AI capabilities to improve reporting, forecasting, and decision support.
Direct solutions for orders and shipments, billing and revenue, general ledger, P&L and balance sheet, procurement and spend, workforce and headcount, and financial planning and forecasting.
Ensure reporting integrity, auditability, and compliance with financial policies.
Advise senior business and finance leaders on analytics.
Translate business requirements into scalable reporting and data solutions.
Influence executive stakeholders with data-driven recommendations and strategic insights.
Build partnerships across global business organizations.
Lead and develop global analytics, reporting, and data engineering teams.
Foster innovation, continuous improvement, and customer-centric delivery.
Establish performance objectives, development plans, and succession strategies.
Drive collaboration across geographically distributed teams and business functions.