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Program Manager – Data & Analytics

Independence Pet Group
Chicago, USA
Full-time
Manager · 8+ years experience
Remote
Discovered 1 weeks ago
azuredatabrickssnowflake

Full Job Posting

Key Responsibilities

  • Lead and coordinate delivery activities across enterprise data and analytics initiatives, including cloud data platforms, reporting modernization, data integrations, governance enablement, and AI-related capabilities
  • Drive integrated planning and execution coordination with business program managers, data leaders, engineering teams, architects, and system integrators
  • Lead Agile / SAFe delivery routines, including planning sessions, dependency management, status reviews, RAID management, and execution tracking activities
  • Lead integrated roadmap coordination across data engineering, analytics, integrations, infrastructure, security, and business workstreams
  • Drive visibility and accountability for program milestones, dependencies, risks, issues, financials, and action items across multiple delivery teams
  • Lead coordination with vendors and third-party delivery partners to monitor deliverables, escalate blockers, and ensure execution accountability
  • Build and maintain executive-ready delivery dashboards, status reporting, and operational metrics across enterprise data initiatives
  • Partner with Enterprise Architecture, Infrastructure, Information Security, and Engineering teams to ensure aligned and predictable delivery outcomes
  • Lead operational readiness, release coordination, testing alignment, and deployment planning activities across data and analytics initiatives
  • Ensure delivery activities align with TPDO governance standards, reporting requirements, financial controls, and operational processes
  • Collaborate closely with business and Data leadership to ensure alignment between technology delivery activities and broader enterprise data transformation objectives
  • Contribute to continuous improvement of delivery governance, operational cadence, reporting standards, and transformation execution practices
  • Required Skills & Abilities
  • Strong delivery coordination and execution management skills across complex enterprise technology and data initiatives
  • Ability to manage competing priorities and operate effectively within fast-paced transformation environments
  • Strong organizational, planning, dependency management, and problem-solving capabilities
  • Excellent communication and stakeholder management skills with the ability to coordinate across business, data, and technology organizations
  • Experience leading Agile / SAFe delivery models and cross-functional delivery coordination
  • Ability to facilitate collaboration across distributed engineering teams, vendors, and third-party delivery partners
  • Strong attention to detail combined with the ability to maintain visibility across interconnected workstreams and dependencies
  • Demonstrated ability to proactively identify risks, escalate issues, drive execution transparency, and ensure accountability across delivery teams
  • Acts as a collaborative leader who promotes a culture of accountability, continuous improvement, operational excellence, and execution discipline

Education and Experience

  • 8+ years of technology program or project management experience supporting enterprise data and or analytics delivery initiatives
  • Experience supporting enterprise data platforms, analytics modernization, cloud data ecosystems, or AI enablement initiatives preferred
  • Familiarity with data engineering, reporting, analytics, governance, or enterprise data platform concepts
  • Experience working with cloud data platforms such as Azure, Databricks, Snowflake, or similar ecosystems preferred
  • Experience working with system integrators, offshore delivery teams, and third-party vendors
  • Experience supporting enterprise transformation initiatives within regulated industries preferred
  • Experience working within Agile / SAFe delivery environments
  • Strong understanding of enterprise delivery governance, reporting, financial tracking, and dependency management practices
  • Bachelor’s degree in Information technology, Computer Science, Business, Engineering, Analytics, or related field
  • Compensation:
  • Chicago/Boston Base pay range: $123,774 – $154,718 per year
  • NYC Base pay range: $135,026 - $168,784 per year
  • Miami Base pay range: $118,148 - $147,686
  • Nationwide Base pay range: $112,522 - 140,653 per year
  • This is the range we reasonably expect to pay at hire. Placement within the range depends on job-related factors such as experience, skills, and certifications. This position is eligible for an annual bonus. Base pay is one part of a total rewards package that includes the benefits listed below.
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  • All of our jobs come with great benefits including healthcare, parental leave and opportunities for career advancements. Some offerings are dependent upon the location of where you work and can include the following:
  • Comprehensive full medical, dental and vision Insurance
  • Basic Life Insurance at no cost to the employee
  • Company paid short-term and long-term disability
  • 12 weeks of 100% paid Parental Leave
  • Health Savings Account (HSA)
  • Flexible Spending Accounts (FSA)
  • Retirement savings plan
  • Personal Paid Time Off
  • Paid holidays and company-wide Wellness Day off
  • Paid time off to volunteer at nonprofit organizations
  • Pet friendly office environment
  • Commuter Benefits
  • Group Pet Insurance
  • On the job training and skills development
  • Employee Assistance Program (EAP)
  • Interview Technology Notice:
  • Please note that phone and video interviews or screenings may be recorded and transcribed using interview technology to support our recruitment process.
  • By continuing with the interview, you consent to this use.
  • Text Messaging Notice:
  • If you provide a mobile phone number, you may receive job-related communications via text message. Message and data rates may apply.
  • You may opt out of text communications at any time by replying “STOP.”

Preferred Qualifications

  • Experience supporting enterprise data platforms, analytics modernization, cloud data ecosystems, or AI enablement initiatives preferred
  • Experience working with cloud data platforms such as Azure, Databricks, Snowflake, or similar ecosystems preferred
  • Experience supporting enterprise transformation initiatives within regulated industries preferred
  • This is the range we reasonably expect to pay at hire. Placement within the range depends on job-related factors such as experience, skills, and certifications. This position is eligible for an annual bonus. Base pay is one part of a total rewards package that includes the benefits listed below.

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