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Data Annotation Program Manager information

What are the key skills and qualifications needed to thrive as a Data Annotation Program Manager, and why are they important?

To thrive as a Data Annotation Program Manager, you need expertise in project management, data quality assessment, and a solid understanding of machine learning or data annotation processes, typically supported by a relevant degree. Familiarity with annotation platforms, workflow management tools, and data labeling software is essential, along with knowledge of quality assurance frameworks. Strong leadership, problem-solving abilities, and effective communication are crucial soft skills that help manage diverse teams and ensure stakeholder alignment. These skills are important to maintain high data quality, meet project deadlines, and drive successful AI model training initiatives.

How does a Data Annotation Program Manager coordinate with cross-functional teams to ensure project success?

A Data Annotation Program Manager regularly collaborates with engineering, data science, and quality assurance teams to align annotation guidelines, project timelines, and quality standards. They often facilitate meetings to clarify requirements, resolve ambiguities in data labeling, and provide feedback on annotation accuracy. This role serves as a bridge between technical teams and annotation staff, ensuring open communication and timely resolution of challenges, which is critical for delivering high-quality datasets essential for machine learning and AI projects.

What are Data Annotation Program Managers?

Data Annotation Program Managers are professionals who oversee and coordinate data labeling projects, ensuring that data used for machine learning and artificial intelligence is accurately tagged and prepared. They manage teams of annotators, set project guidelines, monitor quality, and ensure deadlines are met. Their role is crucial for building high-quality datasets that enable reliable AI model training. Program Managers often collaborate with data scientists, engineers, and stakeholders to define requirements and improve annotation processes.
What are popular job titles related to Data Annotation Program Manager jobs in Vermont? For Data Annotation Program Manager jobs in Vermont, the most frequently searched job titles are:
What job categories do people searching Data Annotation Program Manager jobs in Vermont look for? The top searched job categories for Data Annotation Program Manager jobs in Vermont are:
Data Annotation Program Manager jobs near you
Program Manager, AI & Automation - Operations

Program Manager, AI & Automation - Operations

National Life Group

Montpelier, VT • On-site

Full-time

Posted 28 days ago

National Life Group rating

9.0

Company rating: 9.0 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

35th of 260 rated insurance

Job description

Job Summary:
National Life Group is one of America’s fastest-growing insurance companies, committed to providing families with stability and peace of mind. The AI & Automation Lead will partner with Operational leadership to execute AI and automation initiatives that enhance efficiency, drive revenue growth, and improve customer experiences.
Responsibilities:
• Lead end-to-end delivery of AI and automation solutions in operations, from concept definition through deployment and refinement.
• Define and manage project scope, business requirements, timelines, and dependencies.
• Anticipate and mitigate risks associated with delivery and implementation.
• Inspire and guide cross-functional teams toward achieving business and technology milestones.
• Work closely with leadership to support AI adoption as a way of working for all of operations.
• Assist in the definition and maintenance of the AI transformation strategy for Service & Operations in alignment with enterprise objectives.
• Develop and manage an Operations AI initiative roadmap, balancing innovation, feasibility, and business value realization.
• Apply an MVP approach to validate opportunities and guide scaling decisions within Operations.
• Collaborate across business, technology, data, and risk functions to ensure coordinated delivery of initiatives.
• Partner with compliance, legal, and the AI Governance Committee to ensure responsible, transparent, and compliant AI implementations.
• Facilitate alignment across stakeholders by clearly communicating objectives, trade-offs, and expected outcomes.
• Define and track key performance indicators (KPIs) to evaluate the success and business impact of AI and automation initiatives.
• Leverage data-driven insights to guide ongoing optimization and future prioritization of AI and automation initiatives in the business.
• Ensure continuous improvement of AI applications to maximize business value and operational effectiveness.
Qualifications:
Required:
• Bachelor’s degree in Business or a related field or minimum of 8 years in product management, with a focus on AI, software, digital platforms, or automation solutions.
• Proven record of delivering software or AI-driven solutions; experience with vendor partnerships and custom-built solutions preferred.
• Strong analytical, problem-solving, and quantitative capabilities; statistical knowledge a plus.
• Exceptional interpersonal and communication skills with the ability to convey complex ideas clearly to diverse audiences.
• Demonstrated success in managing cross-functional projects within complex organizational structures.
• Agile, consultative, and outcome-oriented, with the ability to balance innovation and disciplined execution.
Preferred:
• Experience with Life and Annuity operations or working within regulated industries.
Company:
National Life Group offers life insurance, and annuity products to help individuals, families and businesses pursue financial needs. Founded in 2006, the company is headquartered in Montpelier, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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