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The Senior Manager, Data & Analytics (D&A) is responsible for leading the development, implementation, and optimization of data and analytics capabilities across the organization, including AI applications to deliver actionable insights and drive business value. In this role, you will develop and execute a comprehensive data and analytics strategy, lead data integration and governance efforts, and define and implement AI models that align with business objectives within the Finance function and the broader organization.
Job Responsibility:
Develop and implement a comprehensive data and analytics strategy that supports the company’s financial and business goals
Support the transformation of the finance function and other departments through advanced analytics
Co-create D&A strategy with the IT Function to ensure data foundations are set to enable analytics initiatives
Collaborate with leadership to identify and prioritize key financial analytics initiatives
Enable reporting automation by developing and maintaining dashboards using data visualization tools that communicate key performance indicators (KPIs) and insights to stakeholders
Work closely with the CEO, CFO and other members of the leadership team to establish and coordinate the AI Governance Council
Own and advance the Technology Roadmap, ensuring alignment with business strategy and enterprise architecture
Establish and enforce data governance policies and procedures within Finance
Ensure the accuracy, consistency, and reliability of all data used for analysis and reporting
Act as Finance Lead/ owner of financial systems (HFM, Tagetik)
Collaborate with FP&A on the development of predictive and prescriptive analytics models to support financial forecasting and strategic planning
Conduct ad hoc analyses to answer specific business questions and support strategic decision-making
Requirements:
Minimum Bachelor’s degree in data science, statistics, finance or accounting
7+ years of experience in data analytics, with relevant financial experience
Familiarity with data analysis tools and languages such as SQL, Excel, Python, or R
Experience with visualization tools such as PowerBI or Tableau
Familiarity with statistical methods and data modelling techniques
Experience in Manufacturing industry a plus
SAP experience a plus
Self-starter with strong results orientation
Collaborative style with proven written and verbal communication skills
Nice to have:
Experience in Manufacturing industry a plus
SAP experience a plus
What we offer:
Medical, prescription, dental and vision plans
Flexible Spending Accounts (FSA)
Life insurance
401(k) retirement plan with company match
Paid holidays and vacation
Short- and Long-Term Disability (STD/LTD)
Employee Assistance Program (EAP)
Apprenticeship programs
Professional and personal development opportunities through Employee Resource Groups