Director Finance & Data Analytics

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Job area:

Project Management

DSV
- Global transport and logistics In 1976, ten independent hauliers joined forces and founded DSV in Denmark. Since then, DSV has evolved to become the world's 3rdlargest supplier of global solutions within transport and logistics. Today, we add value to our customers' entire supply chain by transporting, storing, packaging, re-packaging, processing and clearing all types of goods. We work every day from our many offices in more than 80 countries to ensure a steady supply of goods to production lines, outlets, stores and consumers all over the world.

Our reach is global yet our presence is local and close to our customers. Read more at

Division:

Solutions

Job Posting

Title:

Programme Director
- Finance & Data Analytics

Time Type:
Full Time

POSITION SUMMARY

The Programme Director, Finance & Data Analytics is the technical owner of the finance data ecosystem supporting the Ops Finance organization. This senior individual contributor role owns the design, build, and governance of the finance data warehouse, the business intelligence (BI) and reporting layer, and the automated forecasting and planning models that Finance leadership relies on to run the business. Serving as the organization's Finance BI leader and data engineer, this individual sets the technical direction and multi-year roadmap for finance data and analytics, leads cross-functional programs from scoping through delivery, and establishes a single, trusted source of truth across all customer accounts within the vertical.

Although the role has no direct reports, it is expected to lead through influence: setting standards, mentoring analysts and end users, directing work with IT and external partners, and advising Finance and Operations leadership on how data, automation, and analytics can improve margin, cash, and speed of decision-making.

As part of the DSV team, Employees are expected to meet company objectives in performance, safety, and quality. Employees are expected to comply with all DSV corporate and site-specific policies and requirements. Employees are expected to consistently support, promote, and exemplify DSV's core values:
Customers First, Best Performance, and True Collaboration.

ESSENTIAL DUTIES AND RESPONSIBILITIES

The Programme Director, Finance & Data Analytics serves as the senior technical and program leader for finance data across the Ops Finance organization, with accountability for the following:

Own the finance data warehouse and data architecture:
Serve as the technical owner of the finance data warehouse and the data models that support planning, reporting, and analytics

Design, build, and maintain scalable data models (e.g., star schema, fact and dimension tables) that integrate ERP, billing, operational, labor, and customer data

evelop and maintain ETL/ELT pipelines using SQL and modern data tooling to ingest, transform, and validate data from source systems

Establish data governance standards, including data definitions, master data, access controls, data quality checks, and reconciliation to the general ledger

Partner with IT and Enterprise Data teams on platform decisions, environment management, security, and performance optimization

Lead the business intelligence and reporting strategy:
Set the vision, standards, and roadmap for finance BI and self-service reporting across the Ops Finance organization

Design and deliver executive-level dashboards and KPI frameworks (e.g., P&L by account, cost-to-serve, labor productivity, margin, and cash metrics)

Standardize reporting and metrics across all customer accounts within the vertical, eliminating duplicate and conflicting reports

Define and enforce BI development standards, including semantic models, naming conventions, version control, and documentation

Drive adoption of self-service analytics through training, enablement, and user support

Architect automated forecasting and financial planning:
Build and own an automated, driver-based forecasting and planning model that replaces manual, spreadsheet-based processes

Automate recurring reporting out of the ERP system(s) and the data warehouse, including actual vs. plan and forecast variance reporting

Develop predictive and statistical models to improve forecast accuracy and visibility into volume, revenue, and cost drivers

Support the annual…