FCA · 2 months ago
Data Analytics Manager (Commercial Control Tower Finance)
Auburn Hills, MI
Full-time
Onsite
Senior Level, Lead/Staff
10+ years expFCA is part of the Stellantis organization, focusing on the Sales & Marketing function within the Finance team. The Data Analytics Manager will lead the development of advanced data capabilities to enable predictive business decisions, overseeing data mining, architecture, governance, and quality frameworks while driving AI adoption for financial insights.
Information TechnologyTelecommunications
Responsibilities
Lead data mining and analytics efforts to identify trends, uncover opportunities, and answer critical business questions across Finance and Commercial teams
Design and implement robust data architecture, governance, and quality frameworks to ensure accuracy, consistency, and reliability of financial and operational data
Leverage AI and machine learning to build predictive data models, enabling proactive decision-making on financial performance, forecasting, and commercial strategies
Develop and deploy AI-driven solutions that automatically answer recurring business questions, reducing manual analysis and accelerating insights
Collaborate closely with stakeholders across Finance, Sales, Marketing, Pricing, and IT to understand data needs and translate them into scalable analytical solutions
Partner with Data Engineering teams to optimize data pipelines, integrations, and infrastructure for Finance reporting and advanced analytics
Build and maintain interactive dashboards and self-service analytics tools that support leadership in strategic planning and performance monitoring
Provide mentorship and technical guidance to analysts, fostering a culture of data excellence and innovation
Qualification
Required
Bachelor's degree in Data Analytics, Finance, Statistics, Computer Science, Economics, or related field
10 + years of experience in data analytics, business intelligence, or financial analysis, with at least 2 years in a leadership or managerial capacity
Proven experience in data mining, modeling, and visualization (e.g., Power BI, Tableau)
Strong knowledge of data architecture, governance, and data quality best practices
Proficiency with SQL and experience working with large, complex datasets
Demonstrated ability to partner with Finance teams to translate data into actionable business strategies
Excellent communication skills with the ability to influence stakeholders at multiple levels
Preferred
Master's degree in Analytics, Data Science, Finance, or related field
Experience implementing AI/ML models for predictive financial forecasting, anomaly detection, or automated insights generation
Familiarity with Python, R, or other machine learning frameworks
Experience building or leading data teams in complex, matrixed organizations
Knowledge of cloud-based data platforms (e.g., Azure, AWS, GCP) and modern data stack tools
Track record of driving data modernization and automation initiatives in a Finance context
Benefits
Comprehensive Health & Well-being Coverage
Generous Paid Time Off
Competitive Retirement Savings Plans
Income Protection & Insurance Options
Company Vehicle Lease Program
Family Building Benefit
Support for Your Growth and Giving Back
Tuition reimbursement
Student loan refinancing programs
18 paid volunteer hours each year to make a difference in your community
Company
FCA
FCA is one of the largest technology integrators in the field of fiber optic systems for building optical teletransmission networks.
51-200 employees
H1B Sponsorship
FCA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (328)
2024 (220)
2023 (246)
2022 (346)
2021 (182)
2020 (213)
Funding
Current Stage
Growth StageRecent News
2025-08-07
2025-04-12
2025-04-07
Company data provided by crunchbase