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6 дней назад

Technical Program Manager, Data

117 576 - 154 319$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Technical Program Manager, Data (Healthcare/Data Transformation): Leading an enterprise data migration from planning through operational handoff with an accent on data transformation, semantic layers, governance, and data quality. Focus on coordinating cross-functional teams, managing dependencies and tradeoffs, validating data, and driving cutover, adoption, and business continuity.

Location: New York City office, United States; hybrid schedule with 3 days of in-office work per week, including Thursdays for team meetings and events.

Base pay: $117,576–$154,319 per year.

Company

hirify.global is a health insurance company built around a full-stack technology platform and focused on improving the healthcare experience for its members.

What you will do

  • Own the integrated enterprise data migration plan from scoping through delivery and operational handoff, including migration waves, milestones, dependencies, owners, and acceptance criteria.
  • Coordinate dbt migration, Cube implementation, data governance, and data quality workstreams across Analytics Engineering, Data Engineering, Data Science, Analysts, and business owners.
  • Map dependencies, resolve scope and readiness gaps, and make sequencing, capacity, and implementation tradeoffs clear.
  • Drive risk management, escalation, reconciliation, testing, cutover, rollback planning, adoption, and operational readiness.
  • Establish validation evidence, go/no-go criteria, security, privacy, and compliance reviews, while maintaining business continuity.
  • Provide Data and executive leaders with visibility into progress, readiness, decisions, and outcomes, and help improve TPM practices.

Requirements

  • 5+ years of technical program management or project management/process-oriented operations experience.
  • 2+ years using coding languages such as SQL to analyze project performance and risks and develop reports for management and business owners.
  • Experience independently leading complex software development programs across multiple teams from planning through launch and operational handoff.
  • Technical fluency in data pipelines, transformation layers, data models, semantic layers, lineage, and integrations.
  • Ability to structure ambiguous enterprise programs, manage cross-domain dependencies and competing priorities, and coordinate data validation, cutover readiness, and business continuity.
  • Experience building trust and influencing Analytics Engineering, Data Engineering, Data Scientists, Analysts, business owners, and executive stakeholders without direct authority.
  • Clear written and verbal communication, including translating technical migration risks into business impact and recommending actions to senior leaders.
  • Strong ownership and follow-through when plans change or obstacles arise.

Nice to have

  • Experience in healthcare, health insurance, or another regulated industry.
  • Experience with dbt and Cube or comparable transformation and semantic-layer technologies.
  • Experience implementing data governance, data quality controls, lineage, or consistent business metric definitions across domains.
  • Experience coordinating external vendors and supporting adoption of new data platforms and ways of working.
  • Experience migrating business-critical analytics or reporting using staged validation, reconciliation, cutover, and rollback practices.

Culture & Benefits

  • Full-time employment with medical, dental, and vision benefits.
  • Unlimited vacation program, paid sick time, 11 paid holidays, paid parental leave, and paid wellness time and reimbursements.
  • 401(k) participation, life insurance, and disability insurance.
  • Annual performance bonuses and a hybrid New York City office schedule.
  • Equal opportunity environment focused on belonging, authenticity, and support.

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