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Data Annotation Program Manager Jobs in Katy, TX

Lonza

Sr. Program Manager

Houston, TX

$110K - $111K/yr

Ensure a high level of data quality across all PM systems and processes is maintained at all times ... of Program Management. * Coach the team through experience, whilst fostering a culture of ...

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Data Annotation Program Manager information

See Katy, TX salary details

$28.4K

$89.1K

$157.8K

How much do data annotation program manager jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data annotation program manager in Katy, TX is $89,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $115,100.00 per year, depending on experience, location, and employer.

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.
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Data Annotation Program Manager jobs near you
Technical Program Manager, Modernization

Technical Program Manager, Modernization

Tiger Analytics Inc.

Houston, TX

$123K - $159K/yr

Full-time

Re-posted 2 days ago

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognised our business value and leadership. We solve complex analytical problems at scale and have built a reputation for delivering valuable data-driven solutions across various industries, including Pharma and Life Sciences.

We are seeking a senior-level Technical Program Manager to lead a large-scale operational modernization and technology transformation initiative. This role will focus on driving execution, governance, and coordination across multiple technical and operational workstreams related to cloud modernization, data platforms, analytics enablement, and operational systems transformation.

The company is currently evolving from a more traditional BI-heavy and siloed reporting environment into a modern AWS-centric data ecosystem. Their broader technology direction includes Databricks, AWS S3, Redshift, Athena, Power BI, Apache Iceberg, and more modern streaming and analytics capabilities. AWS is heavily involved in the initiative alongside engineering/data teams.

The ideal candidate will have strong experience managing enterprise-scale programs involving cloud technologies, analytics, AI/ML initiatives, and cross-functional stakeholder management in complex operational environments.

RESPONSIBILITIES:

  • Lead end-to-end program execution across multiple technical and business workstreams.
  • Drive governance, planning, prioritization, risk management, and stakeholder communication for enterprise modernization initiatives.
  • Coordinate with internal engineering, data, analytics, operations, and executive leadership teams.
  • Manage collaboration across external vendors, consulting partners, cloud providers, and internal delivery teams.
  • Oversee cloud and data modernization initiatives including analytics enablement, operational reporting, forecasting, and visualization solutions.
  • Support modernization of enterprise data ecosystems leveraging cloud technologies and modern analytics platforms.
  • Drive delivery of operational analytics, AI/ML, and business intelligence initiatives aligned with business objectives.
  • Manage multi-workstream technical programs involving infrastructure modernization, operational systems, and enterprise analytics platforms.
  • Track program milestones, budgets, dependencies, risks, and implementation timelines.
  • Facilitate executive-level reporting, governance reviews, and strategic planning discussions.
  • Ensure successful execution within highly operational, fast-paced, and cross-functional enterprise environments.
  • Preferred experience working in operationally complex industries such as energy, utilities, infrastructure, manufacturing, transportation, or supply chain environments.
  • Experience collaborating with cloud providers, enterprise consulting partners, and distributed engineering/data teams.
  • Exposure to operational analytics, forecasting, scheduling, enterprise planning, and reporting systems is highly preferred.

Requirements

  • 10+ years of experience in Technical Program Management, Project Portfolio Management, or Enterprise Program Delivery.
  • Strong experience leading enterprise cloud transformation or data modernization programs.
  • Proven expertise managing large-scale, multi-workstream technical initiatives.
  • Experience driving AI/ML, analytics, business intelligence, or data engineering programs.
  • Strong stakeholder management and executive communication skills.
  • Experience managing consulting-led, vendor-heavy, or outsourced delivery engagements.
  • Ability to work effectively across engineering, operations, analytics, and leadership teams.
  • Experience with Agile, Waterfall, or hybrid project delivery methodologies.
  • Preferred experience with modern cloud and analytics technologies including AWS, Databricks, Amazon S3, Redshift, Athena, Power BI, Apache Iceberg, and modern data platform technologies.
  • Familiarity with cloud engineering, data engineering, analytics platforms, and enterprise modernization initiatives is highly preferred.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

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