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Tiger Analytics

Delivers Data and AI transformation

Senior Project/Program Manager - Data & Analytics

IT Project ManagementConfirmed live in the last 24 hours
Full-timeDallas, TX, USANo salary listed

About the Job

Requirements

  • 10–15 years of overall experience in Program/Project Management, Data & Analytics, or related technology domains.
  • Strong experience in Program/Project Management, preferably managing large accounts, complex delivery programs, and multiple workstreams.
  • Proven experience leading end-to-end Data & Analytics projects, including planning, execution, delivery, dependency management, risk management, and stakeholder management.
  • Hands-on experience with Databricks, including practical implementation and development experience rather than program-level exposure only.
  • Strong hands-on Python and SQL skills.
  • Strong experience with the Azure data and cloud ecosystem.
  • Proven experience in data migration, preferably involving large-scale application migrations, data-lake migrations, or cloud data-platform migrations.
  • Strong Data Analytics and Data Analysis skills, with the ability to translate business requirements into data-driven solutions and insights.
  • Strong communication, stakeholder management, problem-solving, and cross-functional collaboration skills.

Responsibilities

  • Lead and manage end-to-end Data & Analytics programs/projects, ensuring successful delivery within agreed timelines, scope, and quality standards.
  • Manage complex delivery programs involving multiple workstreams, teams, dependencies, and stakeholders.
  • Drive project planning, execution, governance, status reporting, risk and issue management, dependency tracking, and delivery management.
  • Provide hands-on technical leadership across Databricks, Python, SQL, and Azure data technologies.
  • Work closely with engineering, data, analytics, business, and technology teams to design and deliver scalable data solutions.
  • Lead and oversee large-scale data and application migration initiatives, including migration planning, data validation, dependencies, risks, and cutover activities.
  • Analyze data and business requirements and translate them into effective data, analytics, and reporting solutions.
  • Collaborate with stakeholders to define requirements, establish priorities, manage expectations, and ensure successful project outcomes.
  • Identify and proactively resolve delivery risks, technical issues, dependencies, and project challenges.
  • Support data-platform and data-lake modernization initiatives within the Azure/Databricks ecosystem.
  • Work with CPG/Retail stakeholders and teams to address business and analytics requirements, with a focus on Revenue Growth Management (RGM) where applicable.
  • Coordinate migration and delivery activities across LATAM applications, data sources, and stakeholders.
  • Establish effective project governance, communication, and reporting mechanisms for senior stakeholders.

Desired Qualifications

  • CPG/Retail domain experience is highly preferred.
  • Knowledge of Revenue Growth Management (RGM) is a strong plus.
  • Experience working with LATAM applications and data, particularly large-scale data/application migration initiatives involving LATAM, is highly relevant.

About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Jose, CA
Founded
2010

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