IE
Instituto de Pesquisas EldoradoData Analyst
Data Analyst developing data solutions for engineering projects. Collaborating with teams, ensuring data quality and integrity, and implementing robust data preparation routines.
About the role
- Define and manage the enterprise roadmap for Data and AI products; lead portfolio governance to ensure scalability, adoption, ROI, and alignment with business priorities.
- Serve as the strategic interface between product, technical, and business teams; build investment cases, assess impact, and establish success metrics for initiatives.
- Guide projects from ideation through delivery, including partnerships and stakeholder engagement.
- Lead product councils and coordinate efforts across multiple SBUs & functions to prioritize and deliver value.
- Lead DAAI business operations including financial oversight (AOP, capital planning, contractor management), business reviews, and KPI tracking for product and portfolio health.
- Anticipated 20–40% travel to collaborate with team members and business stakeholders.
Requirements
- Role typically requires a University Degree or equivalent experience and minimum 14 years prior relevant experience, or an Advanced Degree in a related field and minimum 12 years' experience. (In lieu of degree, a minimum of 18 years’ relevant experience will be considered)
- Experience leading product management or portfolio leadership in data, analytics, or AI-driven solutions at enterprise scale.
- Ability to obtain and maintain a U.S. government issued security clearance is required.
- U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.
- Master of Business Administration (MBA) or an advanced technical degree in Data Science, Information Management, or related STEM field preferred.
- Proven ability to translate business strategy into actionable product roadmaps, portfolio governance, and measurable outcomes, including investment planning and financial oversight.
- Strong leadership and communication skills with experience engaging senior stakeholders and driving cross-functional alignment.
- Experience working in regulated industries such as aerospace, defense, or government.
- Familiarity with modern data and AI ecosystems (e.g., Snowflake, Databricks, MLOps frameworks, AWS GovCloud, AzureGov).
- Proven expertise with product management tools and methodologies (e.g., Agile, SAFe, Jira).
- Demonstrated success driving enterprise-wide adoption of advanced data and AI capabilities while balancing strategic vision with operational execution.
Benefits
- medical, dental, vision, life insurance
- short-term disability
- long-term disability
- 401(k) match
- flexible spending accounts
- flexible work schedules
- employee assistance program
- Employee Scholar Program
- parental leave
- paid time off
- holidays
Job title
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