Job Duties and ResponsibilitiesCandidates must be willing to participate in at least one in-person interview. Enterprise shared services across HR, IT, and Customer Experience face operational bottlenecks due to manual workflows, fragmented data, and underutilized automation opportunities. This role bridges operational leadership and engineering teams to identify high-value efficiency gaps and deploy enterprise-grade LLM and machine learning solutions. By establishing clear prioritization frameworks, governing AI ethics, and building reusable technical components, the Senior Product Manager resolves enterprise scale challenges and drives measurable cost reduction.
What Success Looks Like (Objectives)- Deliver a 12-month strategic AI roadmap for shared services that directly advances enterprise digital transformation metrics and operational efficiency targets.
- Establish a data-driven framework to evaluate, prioritize, and execute internal departmental AI requests based on ROI, technical feasibility, and strategic alignment.
- Direct cross-functional agile teams of Data Scientists, ML Engineers, and UX Designers to convert manual processes into automated digital workflows.
- Integrate enterprise-grade Generative AI and LLM capabilities into daily employee workflows while maintaining guardrails against model bias and data leakage.
- Create reusable AI components and datasets in collaboration with Data Engineering to maximize ROI across multiple internal software ecosystems.
Skills, Experience and RequirementsCore Skills and Competencies (What you'll bring)- Critical experience launching internal enterprise platforms or tools that resulted in measurable cost savings or operational productivity gains.
- Advanced AI literacy and practical application expertise in deploying Generative AI, Large Language Models (LLMs), NLP, and predictive models into production environments.
- Proven ability to align cross-functional executive stakeholders, resolve conflicting business priorities, and drive consensus across complex corporate structures.
- Expert-level competency in data interpretation, system telemetry, and SQL or visualization tools (Tableau, PowerBI, Looker) to monitor performance metrics.
- High-level proficiency in applying UX principles to complex machine learning outputs and navigating agile development lifecycles with high ambiguity.
Additional Qualifications- Master's degree or MBA in Computer Science, Data Science, Engineering, or Business Administration.
Minimum Requirements- Minimum Education: Bachelor's Degree in Computer Science, Data Science, Engineering, Business Administration, or a related quantitative field.
- Minimum Experience: 4+ years of experience in Digital Product Management, including at least 2 years delivering AI/ML or complex automation solutions.
- Required Technical Skills: Must have at least 2 years of experience with:
- SQL and data visualization platforms (Tableau, PowerBI, or Looker) for performance and telemetry tracking
- Agile product management within data science and machine learning lifecycles
Visa sponsorship not available for this role
Salary RangesCompensation: $96,250.00/Year - $158,125.00/Year
BenefitsWe offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.
