
AI & Analytics Senior Director - Finance Data Office
- Bloomfield, CT
- Permanent
- Full-time
- Research and develop advanced AI and ML tools, particularly in areas such as NLP, generative AI, and predictive analytics, to solve finance business challenges.
- Oversee the end-to-end lifecycle of AI/ML initiatives, from ideation to production deployment.
- Identify, prioritize, and execute AI use cases that deliver measurable value.
- Drive the vision and roadmap for AI initiatives, fostering a culture of innovation across the organization in alignment with enterprise goals
- Develop and execute analytics and reporting strategy that is targeted to rationalize existing reporting (BI) tools, reports and framework with the intention to simplify, eliminate redundancies and deliver effective results
- Collaborate with key business functions to translate data into actionable insights and performance KPIs.
- Establish robust governance frameworks to ensure ethical and compliant use of AI technologies.
- Ensure adherence to Compliance/regulatory requirements and industry standards across all AI initiatives.
- Manage risks associated with AI adoption, balancing innovation with operational safeguards.
- Collaborate with senior leadership and stakeholders to embed AI solutions into the core finance processes.
- Act as a subject matter expert, advocating for AI adoption across the Finance organization.
- Build and lead a multidisciplinary team of data scientists, ML engineers, and researchers.
- Foster a high-performance culture, providing mentorship and professional development opportunities.
- Promote cross-functional collaboration with BFO, FP&A, Accounting, Controllers, Sales, product, engineering and operations teams
- 15+ years of relevant technical & managerial experience.
- Prior Financial services and high-tech industry experience preferred, or experience in financial data.
- Advanced Degree (MS/PHD) in Computer Science, Artificial Intelligence, Machine Learning, or a related field desired.
- Leadership experience in building and managing AI teams preferably in finance or high-transaction environments.
- Proven track record of implementing AI solutions that have driven business impact.
- Expertise in software architecture and design principles
- Strong knowledge of machine learning techniques & statistical concepts
- Hands-on experience with NLP, NLU, NLG, and generative AI technologies
- Strong understanding of AI model development, deployment, and monitoring.
- Hands-on experience with ML libraries (Pandas, NumPy, Scikit-Learn, TensorFlow, SciPy).
- Experience with cloud solutions (eg Azure).
- Experience building data products including ETL pipelines for data processing.
- Experience building automated pipelines for model training, fine-tuning and testing.
- Demonstrated success in establishing and scaling new teams within large organizations.
- Proven ability to manage senior-level stakeholders and cross-functional teams.
- Excellent problem-solving skills and a strategic mindset.
- Strong communication and interpersonal skills to foster collaboration and influence decision-making.