Manager Advanced Analytics and Products

Accountabilities:

Serve as a member of the Business Insights and Intelligence leadership team, contributing to the organization's overall AI, analytics, and product strategy.
Lead, mentor, and develop a multidisciplinary team of analytics engineers, developers, analysts, and data scientists focused on business management solutions.
Build and execute a strategic roadmap for AI and advanced analytics products, driving innovation and improving enterprise and program management capabilities.
Oversee the development, deployment, and continuous enhancement of analytical products that leverage data science, artificial intelligence, and advanced analytics.
Partner with senior business leaders and stakeholders to understand organizational priorities, identify opportunities, and align product roadmaps with strategic business objectives.
Translate complex business requirements into scalable analytics solutions that support informed decision-making and measurable operational improvements.
Drive the application of AI and data-driven insights across key business management areas, including financial performance, cost management, facility optimization, pricing, estimating, forecasting, and financial reporting.
Identify and prioritize team initiatives based on business needs, potential impact, technical feasibility, and strategic value.
Ensure the development of reliable, innovative, and user-focused analytical products that improve business visibility and decision-making.
Leverage advanced technologies, including Large Language Models (LLMs), statistical analysis, and machine learning, to create new analytical capabilities.
Communicate complex analytical findings through clear, concise, and compelling data storytelling tailored to executive audiences.
Build trusted relationships with business stakeholders, technical teams, and organizational leaders to encourage collaboration and successful adoption of analytics solutions.
Promote a culture of curiosity, accountability, continuous improvement, ethical data practices, and innovation.
Guide organizational and process changes associated with the implementation of new analytical products and capabilities.
Monitor product performance and business impact, ensuring that delivered solutions continue to meet evolving organizational requirements.
Requirements:
Bachelor's degree with at least 8 years of relevant professional experience, or a Master's degree with at least 6 years of experience, or a PhD with at least 4 years of relevant experience.
Demonstrated experience building, managing, and developing high-performing technical or analytics teams.
Strong understanding of business management domains and related performance metrics, including financial performance, pricing and estimating, forecasting, and operational reporting.
Proven experience using advanced analytics and data-driven methodologies to support strategic business decisions.
Strong executive communication and data storytelling skills, with the ability to transform complex analytical findings into clear, concise, and compelling presentations.
Proficiency in extracting, querying, and manipulating data from databases using SQL or similar technologies.
Experience using programming languages such as Python or R to perform statistical analysis and develop analytical solutions.
Practical experience with Large Language Models (LLMs) and their application in developing analytical products, automation capabilities, and decision-support solutions.
Strong data visualization skills, including proficiency with Tableau or comparable business intelligence and visualization platforms.
Demonstrated ability to collaborate across multidisciplinary teams and manage projects involving multiple technical and business stakeholders.
Excellent strategic thinking, analytical reasoning, and problem-solving skills, with the ability to investigate complex business challenges and identify innovative solutions.
Strong leadership, communication, and relationship-building abilities, combined with a collaborative and results-oriented management style.
Ability to obtain and maintain a Secret security clearance. U.S. citizenship is required for positions involving government security clearance.
Demonstrated people management experience within an analytics or technical environment is strongly preferred.
Experience with Databricks and the development and operationalization of analytical capabilities, including data ingestion, transformation, and deployment of decision-support products, is an advantage.
A degree in a quantitative discipline such as Mathematics, Physics, Engineering, Statistics, or Economics is preferred.
Strong statistical knowledge and exposure to advanced analytical methodologies, including machine learning, are highly desirable.
Experience leading web application development projects is considered an asset.
Familiarity with the aerospace, defense, or related technology industries is beneficial.
A naturally curious mindset, with a willingness to investigate complex questions, challenge assumptions, and explore innovative approaches to business problems.
Benefits:
Competitive annual salary: $121,000 – $181,600, depending on experience, qualifications, skills, and market conditions.
Performance-based compensation: Potential eligibility for discretionary annual bonuses based on individual contributions and overall organizational performance.
Comprehensive healthcare coverage: Access to medical insurance plans supporting employee health and wellbeing.
Life and disability insurance: Coverage designed to provide additional financial protection.
Retirement savings: Access to an employee savings and retirement plan.
Paid time off: Paid vacation and personal leave to support work-life balance.
Company-paid holidays: Additional paid holidays throughout the year.
Flexible work arrangements: Remote or hybrid working possibilities, depending on location and business requirements.
9/80 work schedule: Work nine-hour days Monday through Thursday and enjoy every other Friday off.
Professional development: Opportunities to lead innovative AI and analytics initiatives while developing technical and leadership expertise.
Strategic leadership exposure: Direct collaboration with senior executives and business stakeholders on enterprise-wide transformation projects.
Meaningful impact: Opportunity to develop advanced technology solutions supporting critical business operations and high-impact organizational decisions.