Vice President, Data and Business Intelligence
MODE Global is the 5th largest truckload broker and largest non-asset intermodal provider in North America. With over 200 agents/offices distributed from coast to coast, MODE Global operates under a family of businesses and brands, delivering as a premier full-service solutions provider to the logistics industry.
MODE believes in the importance of diversity, equity, and inclusiveness to make us a stronger and better organization. The motivation and passion for supporting our customers set us apart from others. Our company culture is how we interact with each other, with our customers, and with society as a whole. It is the foundation on which everything else is built. We embrace new ideas and challenge the status quo - innovation is driven by a willingness to change, to stay ahead and find smart ways to create new solutions. Relationships built on trust with our customers, agents, and colleagues set the standard - our people make the difference every day.
With MODE Global, you will be part of a diverse team of highly skilled professionals to provide expert logistics services and solutions to customers and agents in support of MODE Transportation, SunteckTTS, Avenger, and MODE In-House business units. We work with passion, we trust each other, and we embrace change to stay ahead. We make our customers win.
Digital and Information Technology is the engine of MODE's business, and we continue on our strategic journey to further improve performance and deliver the best customer experience in the industry. In this exciting environment, we are focused on Digital Innovation and Data to meet the demands of our customers in an increasingly digitalized world.
As VP of Data and Business Intelligence at MODE Global, you will be responsible for building and leading an enterprise data and analytics function focused on evolving the way MODE Global and our family of brands derive and use insights to drive business decisions, improved customer service, operational and financial outcomes. The VP of Data and BI is a direct report to the SVP, Chief Information Officer and will partner with senior leadership to promote a data-driven culture powered by the effective use of accurate, complete, reliable, and timely data.
The VP of Data and BI is a critical position aligned with the organization's ongoing commitment to proactively and innovatively meet challenges and leverage opportunities posed by changing market forces, and MODE Global's desire to disrupt the transportation and logistics industry.
Key Areas of Focus and Responsibility:
- Set the vision and strategy for enterprise data and information management and governance; develop our roadmap, including related policies and controls, to ensure data is accurate, consistent, reliable, accessible, and secure.
- Evaluate and evolve the current state of data, reporting, dashboards, quality, and analytics-related functions and leaders.
- Accountable for maintaining and enhancing data and analytics platforms, sources, and partnerships; owns data governance, including data strategy, quality control, and integrity.
- Lead a team of highly technical professionals to provide the best services and usability as it relates to the use of data for business operations.
- Lead the transformation of legacy data warehouses to modern, cloud-based data architecture, leveraging platforms such as Databricks.
- Implement and oversee the use of Databricks for large-scale data processing, analytics, and machine learning applications.
- Develop and execute strategies for real-time data integration, processing, and analysis to support business operations and decision-making.
- Drive the adoption of modern BI tools and practices across the organization, ensuring that data insights are accessible and actionable for all stakeholders.
- Develop consultative and collaborative relationships with business and functional leaders to identify and scope strategic opportunities that foster value creation potential.
- Derive operational modeling excellence by managing existing processes and implementing new processes that leverage data and analytics capabilities to create strategic and competitive advantage.
- Collaborate with internal technology, product line leaders, independent broker operators, and business owners to ensure optimal data architecture and usability are aligned to the appropriate needs of our stakeholders. Act as the collaborator to align business and technology teams in a common vision for their data strategies and platforms.
- Build and maintain a good business acumen within MODE Global as well as the market and act as a strong sponsor for increasing digital literacy of the organization.
- Act as a champion and change agent in leading the organizational changes required to create and sustain enterprise-wide data-driven capabilities and culture.
Qualifications:
- Strong Leadership: ability to create an environment that fosters teamwork and can interact and influence stakeholders. Lead and develop team members to secure a high-performing team. Being a source of inspiration and a role model for colleagues.
- Strategic thinker: Capable of creating a logical and structured roadmap to lead the data evolution within MODE's digital transformation.
- Execution Capability: Proven track record in leading organizations with emphasis on speed and quality of delivery. Ability to implement the roadmap accordingly.
- Customer Centricity: Build a customer-centric organization by identifying ways to enhance customer and coworker experiences.
- Innovation: Develop and enhance an innovation culture, building solutions based on measured outcomes.
- Growth Mindset: True believer that know-how and talent can be developed & improved over time. Attract and develop strong talent.
- Data Security: Implement/assure high standards for Data Security in our systems and processes.
- Extensive experience with Databricks or similar big data processing platforms.
- Proven track record in transforming traditional data warehouses to modern, cloud-based data architectures.
- Deep understanding of modern BI tools and practices, including data visualization, self-service analytics, and predictive modeling.
- Experience in implementing and managing data lakes, data warehouses, and other large-scale data storage solutions.
- Strong background in data governance, data quality management, and data security in cloud environments.
- Familiarity with agile methodologies and DevOps practices in the context of data and BI projects.
- Experience working successfully with senior management as well as internal and external partners.