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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Program Manager with Data Analytics - **Company:** Job Cloud Inc. - **Location:** Milwaukee, WI, United States - **Experience:** Expert - **Salary:** $126,500.0 - $166,100.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Confluence, JIRA, Microsoft Azure, BigQuery, Information Engineering, Data Governance, Data Integration, Python (Programming Language), Metadata, Microsoft Project, Scrum Methodology, Power BI, Tableau (Software), Snowflake, Information Technology, Data Analytics, Data Management, Data Pipelines, Amazon Redshift, Databricks, Programming Languages - **Published:** September 11, 2026 - **Apply:** https://www.careerjet.com/jobad/us3555168f57b4e27fcfb83e24166cf750 ## About the Role * Experience with AWS, Azure, or GCP data platforms. * Knowledge of Snowflake, Databricks, Redshift, BigQuery, or similar platforms. * Experience with Python or another programming language. * Knowledge of data governance, data quality, metadata, and master data management. * Experience with AI/ML or advanced analytics programs. * Experience with tools such as Jira, Confluence, Azure DevOps, or MS Project. * PMP, PgMP, PMI-ACP, or Scrum certification. * Experience working in large enterprise environments. * Financial services, healthcare, retail, or other regulated-industry experience is a plus., * Bachelor's degree in Computer Science, Information Technology, Data Analytics, Business, Engineering, or related field. * 8+ years of overall experience in program/project management, technology, analytics, or related areas. * 5+ years of experience managing data/analytics programs or projects. * Demonstrated experience managing multiple concurrent initiatives and cross-functional teams. * Experience presenting program status, risks, metrics, and recommendations to senior leadership/executives. ## Description We are seeking an experienced Program Manager Data Analytics to lead and manage complex, enterprise-wide data and analytics programs. The ideal candidate will have strong experience in program/project management, data analytics, business intelligence, stakeholder management, and cross-functional team leadership. The candidate will be responsible for driving analytics initiatives from strategy and requirements through execution and delivery, ensuring projects are completed on time, within scope, and aligned with business objectives., * Lead end-to-end data analytics programs involving multiple projects, teams, and stakeholders. * Define program objectives, scope, milestones, deliverables, timelines, and success metrics. * Partner with business stakeholders, data scientists, data engineers, BI teams, and technology leaders to deliver analytics solutions. * Translate business requirements into data and analytics strategies, roadmaps, and actionable deliverables. * Manage program schedules, dependencies, risks, issues, budgets, and resource allocation. * Drive development and delivery of dashboards, reports, KPIs, data products, and analytical solutions. * Collaborate with data engineering teams on data pipelines, data integration, data quality, and data governance initiatives. * Work with BI/analytics teams using tools such as Power BI, Tableau, or similar platforms. * Monitor program performance through KPIs, status reporting, milestones, and executive-level dashboards. * Identify risks, bottlenecks, and dependencies and develop mitigation plans. * Facilitate executive steering committee meetings and provide regular program status updates. * Coordinate cross-functional teams across business, technology, data, analytics, and product functions. * Ensure alignment between analytics initiatives and overall business strategy. * Establish and maintain program governance, processes, standards, and documentation. * Manage change requests, scope changes, and competing priorities across projects. * Promote data-driven decision-making and continuous improvement across the organization. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)