Key Responsibilities
Solution Identification:
–Gains alignment with cross-functional leaders and executives for the strategic direction of the organization to better identify and address strategic, critical business and product needs related to the use of machine learning (ML) and/or artificial intelligence (AI).
–Leads other leaders to set quality standards and ensure the execution of the end-to-end science strategy to address multiple product and/or business problems.
–Drives the design and implementation of research and development strategies for innovative products and services across the organization.
Solution Development – Applied Research:
–Drives the design and implementation of standards for the development and piloting of research proofs-of-concept (POCs) or research experiments to demonstrate the feasibility of proposed solutions, gather supporting evidence, and secure support and funding for applied research.
–Drives the design of group-wide standards for the selection and preparation of datasets for applied research. Establishes processes to ensure that high quality, comprehensive datasets are used across the organization.
–Drives research strategies to identify new theories, tools, and methodologies to transfer and apply state-of-the-art technologies into products and services or make advancements in the field.
Solution Development:
–Defines and refines group-wide standards for the design, development, and optimization of ML and AI technologies, such as model training/fine-tuning and computation optimizations.
–Drives the use of best practices for the architecture of ML and AI solutions, such as data, model, training, and evaluation across the group.
Solution Development – Articulating Research Insights:
–Drives the use of best practices across the group to identify meaningful insights from data and metadata sources from analysis and experiments.
–Advises on the interpretation and communication of insights and findings throughout the organization.
–Leads the creation of patents, white papers, or other technical documentation related to applied research outcomes.
Solution Delivery – Coding and Documentation:
–Develops group processes for the development of efficient, bug-free code from scratch, as well as the maintenance and organization of the existing codebase.
–Forms and communicates best practices for version control, code review, and code delivery/deployment.
–Reviews and refines professional documentation for technical processes (experimentation, data collection and analyses, model building).
–Advocates for the use of additional tools to improve productivity.
Solution Delivery:
–Forecasts and negotiates resource needs and secures resources to enable operations support and ensure successful delivery of solutions and drive the technical strategy.
–Leverages strategic partnerships to remove barriers to the successful and timely delivery of solutions and integration of services.
–Forms cross-functional partnerships to facilitate the deployment of solutions into production environments.
Building Research Capability – Research Excellence:
–Promotes a culture of excellence related to applied research technology areas across the group.
–Builds domain expertise across the group and drives the use of best practices in applied research across the group.
Building Research Capability – Research Community Presence:
–Leads the publication, presentation, and internal and external review (e.g., serves as an academic journal editor) of high-impact research findings and papers in top-tier conferences, research and industry outlets, etc.
–Serves as a keynote speaker in top-tier conferences or panels.
–Establishes collaboration with internal/external research labs.
Core Responsibilities
Planning & Execution:
–Provides strategic oversight on the management and execution of large-scale projects or initiatives, monitoring timelines, deliverables, and budgets when applicable to ensure success.
–Sets strategies for appropriately delegating work, setting priorities, and aligning projects with business needs.
–Drives the strategic planning process across teams, providing guidance on resources or timelines in anticipation of changes.
Collaboration & Partnership:
–Sets a strategic direction for collaborating with cross-functional teams to ensure alignment of expectations and strategic objectives.
–Drives a culture of teamwork, empowering teams to build and maintain partnerships with business leaders, stakeholders, and/or customers to contribute to organizational success.
–Promotes a culture of transparency and inclusivity where all voices are valued and respected.
Problem Solving:
–Develops and implements strategies for specialized, advanced problem-solving efforts across the organization, serving as an escalation point for highly complex operational and/or technical issues.
–Oversees teams leveraging innovative techniques to address significant ambiguous issues, identify root causes, and prevent recurrence, reviewing solutions as needed.
Continuous Learning:
–Champions continuous learning to maintain cutting-edge skills and influence organizational best practices.
–Inspires teams to build and maintain expertise in relevant areas by proactively monitoring emerging trends, technologies, and industry standards to help position the organization as an industry leader.
–Contributes to the organization’s strategy for learning and development, influencing leadership to foster learning opportunities for the team.
Continuous Improvement:
–Drives a culture of continuous improvement that sets a standard for efficient and effective processes, protocols, and workflows across the organization.
–Oversees work to implement large-scale approaches and methods for continued improvement, ensuring changes align with organizational goals.
–Sets the strategic direction, prioritizes, and approves the roadmap of improvement initiatives to maximize return on investments.
Performance and Development:
–Drives and ensures consistent application of performance management strategies, systems, processes, and guidelines across the organization.
–Creates an organizational culture of career development that encourages proactively identifying and pursuing career development opportunities and guiding leaders to support their team's growth.
–Drives consistency in the application of talent development procedures and socializes performance expectations across the organization.
–Partners with HR and executive leadership to envision and execute a talent management strategy, balancing budget and talent resources.
Minimum Job Qualifications
Education and/or Experience:
12 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field
OR
Bachelor's Degree in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 8 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field
OR
Master's Degree in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 6 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field
OR
Doctorate in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 4 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field.
Job Skills:
Same skills as prior level.
Programming Language:
5 years of experience in applicable programming language.
Preferred Job Qualifications
Education and/or Experience:
14 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field
OR
Bachelor's Degree in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 10 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field
OR
Master's Degree in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 8 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field
OR
Doctorate in Mathematics or Statistics, Computer Science, Data Science, Physics, or related field AND 6 years of experience in data science, machine learning, artificial intelligence, natural language processing, speech recognition, statistical modeling, data mining, or related field.
People Leadership / Management Experience:
7 years of experience in a leadership role with direct reports.
Budget Experience:
4 years of experience working with operating budgets and/or project financials.
Academic Writing and Publication:
7 year of experience creating publications (e.g., white papers, peer-reviewed conference or journal articles).