Senior Manager Data Science- AI for BI

Team: Analyst

Location: US

Commitment: Full-time

Workplace Type: remote

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Manager Data Science- AI for BI based in the United States.

The Senior Manager of Data Science will provide strategic leadership for enterprise-wide data science, artificial intelligence, machine learning, and advanced analytics initiatives. This role combines technical expertise and business vision to build high-performing teams and deliver innovative, data-driven solutions. You will lead the development and adoption of predictive, prescriptive, and generative AI capabilities that support better business decisions. A key focus will be advancing AI for Business Intelligence (AI for BI) and conversational analytics, including natural language querying, AI-assisted reporting, and self-service insights. You will establish the strategy, roadmap, governance standards, and adoption approach for scalable and trustworthy analytics solutions. Working closely with business and technology leaders, you will help translate complex analytical opportunities into measurable organizational impact.

Accountabilities

• Lead, coach, mentor, and develop data scientists, analysts, and other technical professionals, overseeing performance management, training, and career development.

• Direct the delivery of enterprise data science, AI, machine learning, and advanced analytics initiatives aligned with organizational priorities.

• Drive the implementation and continuous improvement of AI for BI and conversational analytics capabilities, including natural language querying, AI-assisted reporting, insight discovery, and self-service analytics.

• Oversee the development, deployment, monitoring, and maintenance of machine learning, predictive analytics, generative AI, and optimization models.

• Establish and enforce responsible AI standards, model lifecycle management practices, monitoring processes, and analytics governance frameworks.

• Collaborate with business and technology stakeholders to identify opportunities for AI, advanced analytics, and automation to improve operational performance and business outcomes.

• Lead innovation initiatives, including proofs of concept, pilot programs, and evaluations of emerging technologies and analytical methodologies.

• Develop reusable analytics frameworks, standards, and assets to improve consistency, scalability, and delivery efficiency.

• Oversee analytics platforms, tools, and processes, ensuring reliability, performance, data quality, and user adoption.

• Guide teams in advanced statistical analysis and the translation of complex findings into actionable recommendations for business leaders.

• Partner with data engineering, business intelligence, and technology teams to ensure data readiness, model performance, and successful solution deployment.

• Influence cross-functional stakeholders on analytics best practices, governance standards, and effective data-driven decision-making.

• Advise leadership on data science and AI initiatives, emerging technologies, and opportunities to strengthen organizational capabilities.

Requirements

• Bachelors degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, Information Systems, or a related quantitative discipline.

• Masters degree in Data Science, Statistics, Computer Science, Artificial Intelligence, Analytics, or a related field is preferred.

• At least 7 years of progressive experience in data science, analytics, machine learning, or artificial intelligence.

• Previous leadership experience managing data science, analytics, or AI teams, including senior-level professionals.

• Demonstrated experience leading enterprise-scale AI and analytics initiatives from strategy through implementation and adoption.

• Strong expertise in machine learning, advanced statistical modeling, predictive analytics, optimization techniques, and artificial intelligence.

• Experience developing and operationalizing AI, machine learning, and advanced analytics solutions in enterprise environments.

• Strong understanding of generative AI, large language models (LLMs), conversational AI, retrieval-augmented generation (RAG), and AI-enabled analytics platforms.

• Proficiency in SQL, Python, R, and modern machine learning frameworks such as TensorFlow, PyTorch, scikit-learn, or LangChain.

• Experience with cloud-based analytics and AI platforms, as well as enterprise business intelligence tools such as Power BI, Tableau, or similar solutions.

• Familiarity with AI-enabled analytics, conversational analytics, natural language query technologies, MLOps, model deployment pipelines, and AI governance frameworks.

• Experience establishing responsible AI practices, governance frameworks, and model risk management processes.

• Strong ability to lead cross-functional teams, influence executive stakeholders, and encourage organizational adoption of data-driven decision-making.

• Excellent communication skills, with the ability to explain complex analytical concepts and recommendations to both technical and non-technical audiences.

Benefits

• Annual compensation range of $150,000–$180,000, based on the national labor market average for this role.

• Fully remote working arrangement within the United States.

• Salary bands may vary according to employee location, state, and local cost-of-living and labor market adjustments.

• Medical, dental, and vision insurance options.

• Life and disability insurance.

• Healthcare, dependent care, and limited-purpose Flexible Spending Accounts (FSAs).

• Transportation and parking FSAs, as well as Health Savings Accounts (HSAs).

• Paid Time Off accrued each pay period, with a minimum of 20 days and up to 25 days per calendar year, depending on position.

• Nine observed paid holidays.

• Paid family leave.

• Eligible employees can enroll in qualifying health and welfare benefits from their first day of employment.