We are Daimler Financial Services Mexico, a branch of the Daimler Trucks group, and we offer financial solutions that adapt to the needs of our distributors, clients, and market.
With over 25 years in Mexico, we have focused on building an excellent reputation of service; and to achieve that, we have relied on technological innovation, digital evolution, and a customer-oriented approach.
We are committed to offering excellent financial services that give value to our trademarks, distributors, clients, collaborators, and all our community where we live and work.
Data Management & FC BI Lead
We are seeking a highly motivated Data Management & FC BI Supervisor to drive data governance, reporting enablement, automation, and data-driven decision making across the organization. This role serves as a strategic partner to Finance, Credit, Operations, Sales, Compliance, and regional stakeholders, ensuring that business-critical data is reliable, scalable, and aligned with corporate standards.
The successful candidate will lead the local Data Management function, oversee data quality initiatives, support strategic projects, and develop a high-performing team that enables business stakeholders to leverage data effectively for decision-making.
Key Responsibilities
- Define and execute the local Data Management strategy aligned with business objectives, regional priorities, and global standards.
- Lead reporting, analytics, and automation initiatives using tools such as Power BI, SQL, Python, Data Warehouse solutions, and Microsoft Power Platform.
- Establish and strengthen data governance practices, including data ownership, stewardship, data quality monitoring, business rules, and reporting standards.
- Partner with business and IT teams to translate requirements into scalable and sustainable data solutions.
- Support strategic initiatives, including system migrations, reporting transformations, data warehouse evolution, automation projects, and audit-related improvements.
- Lead, coach, and develop the Data Management team while ensuring effective prioritization and execution of initiatives.
- Promote a data-driven culture through stakeholder engagement, knowledge sharing, and self-service analytics enablement.
- Identify opportunities for innovation, AI adoption, advanced analytics, and process automation across the organization.
Qualifications
Required
- Bachelor’s degree in Actuarial Science, Mathematics, Computer Science, Engineering, Finance, Business Administration, Economics, Information Systems, or a related field.
- Minimum 5 years of experience in Data Management, Business Intelligence, Data Governance, Analytics, Reporting, Data Quality, or related disciplines.
- Experience leading cross-functional initiatives involving business stakeholders, IT teams, and senior leadership.
Preferred
- Experience within financial services, banking, captive finance, automotive finance, or other regulated industries.
- Knowledge of Azure, cloud data platforms, AI-enabled analytics, Copilot solutions, or automation technologies.
- Familiarity with Informatica, data catalog solutions, metadata management platforms, or enterprise governance tools.
- Experience working with regional or global data management initiatives.
What You'll Bring
- Strategic thinking and business acumen.
- Strong leadership and team development capabilities.
- Ability to influence stakeholders across multiple functions.
- Passion for data quality, analytics, and continuous improvement.
- Strong execution skills with the ability to balance operational priorities and strategic initiatives.
Why Join Us?
At Daimler Truck Financial Services, you'll play a key role in enabling data-driven transformation, driving innovation, and helping shape the future of data management within a global financial services organization.
- Strong knowledge of Data Governance, Data Quality, Metadata Management, Data Stewardship, and Reporting Governance.
- Advanced experience with Power BI, Power Query, SQL, Microsoft 365, Excel, and Data Warehouse concepts.
- Experience using Python or similar programming languages for automation, analytics, or data validation.
- Strong stakeholder management, communication, and problem-solving skills.
- Advanced English and fluent Spanish.
Preferred
- Experience within financial services, banking, captive finance, automotive finance, or other regulated industries.
- Knowledge of Azure, cloud data platforms, AI-enabled analytics, Copilot solutions, or automation technologies.
- Familiarity with Informatica, data catalog solutions, metadata management platforms, or enterprise governance tools.
- Experience working with regional or global data management initiatives.
What You'll Bring
- Strategic thinking and business acumen.
- Strong leadership and team development capabilities.
- Ability to influence stakeholders across multiple functions.
- Passion for data quality, analytics, and continuous improvement.
- Strong execution skills with the ability to balance operational priorities and strategic initiatives.
Diversity allows us to employ people with different experiences, abilities and points of view, and that is what enhances our culture and brings us to the forefront among the top global companies.
At Daimler Financial Services, we value the diversity between our employees.
In order to enrich the culture, acknowledges the importance of including people with different points of view and lifestyles into our company. When we select our talent, we focus on abilities; we do not discriminate based on ethnicity, nationality, gender, race, age, disability, social condition, health, religion, immigrant status, opinions, sexual orientation, gender identity or gender expression, marital status, university or appearance. Diversity allows us to employ people with different experiences, abilities and points of view, and that is what enhances our culture and brings us to the forefront among the top global companies.
At Daimler Financial Services, we value the diversity between our employees.
In order to enrich the culture, acknowledges the importance of including people with different points of view and lifestyles into our company. When we select our talent, we focus on abilities; we do not discriminate based on ethnicity, nationality, gender, race, age, disability, social condition, health, religion, immigrant status, opinions, sexual orientation, gender identity or gender expression, marital status, university or appearance.
Additional Information
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