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Senior All Source Intelligence Analyst Jobs in Decatur, TX

MP Materials Corp.

Financial Analyst

Fort Worth, TX · On-site

Must be highly analytical, intellectually curious, and a fast learner. * Ability to identify ... Ability to work with all levels within the organization, including senior management. * Ability to ...

VRC Investigations

Desktop Investigator

Denton, TX · On-site

$18 - $20/hr

All team members must have excellent computer skills, be able to multi-task, and problem solve ... Open Source Intelligence * Preparing detailed investigative reports * Criminal Justice degree or ...

Landmark Structures

Senior Financial Analyst

Southlake, TX · On-site

$80K - $100K/yr

Job Summary The Senior Financial Analyst is responsible for providing advanced financial planning ... Communicate effectively with all levels of management to support analysis, issue resolution ...

Landmark Structures

Senior Financial Analyst

Southlake, TX · On-site

$80K - $100K/yr

Job Summary The Senior Financial Analyst is responsible for providing advanced financial planning ... Communicate effectively with all levels of management to support analysis, issue resolution ...

Solera

Senior Dynamics Systems Analyst

Westlake, TX · On-site

Senior Microsoft Dynamics System Analyst, Sr Who We Are Solera is a global leader in data and ... Work closely with all Finance, Operations, and IT teams to automate manual processes, implement ...

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Senior All Source Intelligence Analyst information

See Decatur, TX salary details

$45.6K

$88.2K

$131K

How much do senior all source intelligence analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior all source intelligence analyst in Decatur, TX is $88,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,200.00 and $110,000.00 per year, depending on experience, location, and employer.

What is a senior all source intelligence analyst?

A Senior All Source Intelligence Analyst is a highly experienced professional responsible for collecting, analyzing, and interpreting information from multiple intelligence sources, such as human intelligence (HUMINT), signals intelligence (SIGINT), imagery intelligence (IMINT), and open-source intelligence (OSINT). They synthesize this data to produce comprehensive reports and briefings that support decision-making for military, government, or private sector clients. These analysts also provide expert insights on threats, adversary capabilities, and geopolitical developments, often leading teams and mentoring junior analysts in complex intelligence operations.

What are the key skills and qualifications needed to thrive as a senior all source intelligence analyst?

To thrive as a Senior All Source Intelligence Analyst, you need expertise in intelligence analysis, critical thinking, and report writing, usually supported by a relevant degree and security clearance. Familiarity with intelligence databases, data visualization tools, and analytical software such as Palantir or Analyst's Notebook is typical. Strong communication, collaboration, and adaptability help you effectively synthesize information from multiple sources and present findings to stakeholders. These skills are crucial for producing accurate, actionable intelligence that supports decision-makers and national security objectives.

What is the difference between Senior All Source Intelligence Analyst vs Intelligence Analyst?

AspectSenior All Source Intelligence AnalystIntelligence Analyst
CredentialsSecurity clearance, relevant certifications (e.g., CISSP, CIA)Security clearance, basic intelligence certifications
Work EnvironmentGovernment agencies, defense contractors, militaryGovernment agencies, private sector, consulting firms
ResponsibilitiesLead analysis, integrate multiple sources, produce strategic reportsCollect, analyze, and interpret intelligence data

The Senior All Source Intelligence Analyst typically has more experience, handles complex analysis, and leads projects, whereas the Intelligence Analyst focuses on data collection and initial analysis. Both roles require security clearances and work in similar environments, but the senior role involves greater responsibility and strategic input.

What are some common challenges faced by senior all source intelligence analysts when integrating information from multiple sources?

Senior All Source Intelligence Analysts often encounter challenges in synthesizing large volumes of data from various sources, such as HUMINT, SIGINT, and open-source intelligence. Ensuring the reliability and credibility of each data point, resolving conflicting information, and maintaining analytical objectivity are key hurdles. Effective collaboration with other analysts and subject matter experts is critical to verify findings and produce comprehensive intelligence assessments, especially under tight deadlines. Developing strong communication and critical thinking skills helps analysts overcome these challenges and deliver actionable insights to decision-makers.
What cities near Decatur, TX are hiring for Senior All Source Intelligence Analyst jobs? Cities near Decatur, TX with the most Senior All Source Intelligence Analyst job openings:
Senior All Source Intelligence Analyst jobs near you

Sr Manager Data Products, Analytics & Ai/ML

Aven Hospitality

Fort Worth, TX

Full-time

Medical, Dental, PTO

Re-posted yesterday

Job description

Aven Hospitality is an innovative technology provider powered by SynXis, the leading global hospitality commerce and distribution platform. We empower hoteliers around the world to exceed expectations, solve daily challenges, and stay ahead of the competition.

With our comprehensive portfolio of solutions, hoteliers can manage distribution, retailing, payments, operations, and more. Providing hoteliers the tools to maximize revenue, improve operational efficiency, and deliver personalized guest experiences that drive satisfaction.

Our tools are built to seamlessly integrate with each hotelier's unique strategy, elevating guest satisfaction and creating meaningful connections.

We are pioneering AI in hospitality technology to unlock new opportunities, drive efficiency, and personalize the guest experience. By prioritizing stability, scalability, and data-driven insights, we equip hoteliers to adapt and thrive in an ever-changing landscape, ready for whatever comes next..

Sr. Manager, Data Products, Analytics &AI/ML

Role Summary

  • This Senior Manager role drives the product strategy, roadmap, and execution for Aven Hospitality's Data, Reporting, Analytics, andAI/MLcapabilities. The role partners with Product, Engineering, Innovation, and Data teams to help evolve a trusted and scalable analytics ecosystem, modernize operational reporting into a system of record, and advance analytics from dashboards into decision-driving, predictive, andAI/ML-assisted products.

  • A core mandate is to increase customer adoption and business value while identifying opportunities to monetize analytics, insights, and data-driven capabilities across the Aven platform. The role works closely with Commercial, Customer Success, and Product leaders to understand customer needs, validate opportunities, and deliver impactful analytics experiences that support measurable business outcomes.

  • Success in this role requires a strong understanding of modern data platforms, analytics products, business intelligence tooling, and emergingAI/MLcapabilities. The ideal candidate combines product managementexpertisewith technical fluency and can translate complex data and analytics concepts into compelling customer value propositions and business results.

  • The roleis responsible fordefining success metrics, measuring adoption and business outcomes, evaluating analytics platform and BI tooling investments, and helping guide analytics andAI/MLinitiatives that improve customer experiences, drive platform adoption, and create long-term business value.

Portfolio

  • Operational Reporting:Modernize and scale reporting to improve reliability, performance, and flexibility-establishing reporting as the operational system of record.

  • Analytics & Insights:Evolve dashboards into actionable insights, diagnostics, benchmarking, forecasting, and guided decision-making.

  • AI/ML-Assisted Analytics:IntroduceAI/ML-assisted, predictive, generativeAI/ML, conversational, and natural-language analytics capabilities to accelerate insight discovery, automate high-frequency questions, and improve decision-making.

  • Data Platform & BI Strategy:Shape the strategy for data platforms, semantic layers, business intelligence tooling, analytics architecture, and platform modernization to ensure scalability, usability, governance, and long-term business value.

  • Data Governance, Security & Compliance:Partner across teams to improve data quality, governance, privacy, security, and compliance capabilities that enable trusted analytics and responsibleAI/MLinnovation.

Responsibilities

  • Define and drive the product roadmap for Data, Reporting, Analytics, andAI/MLcapabilities.

  • Improvethe usabilityof operational reporting to reduce failures, manual workarounds, support costs, and customer friction.

  • Drive self-service analytics by improving how customers access, analyze, personalize, visualize, and export data across the platform.

  • Establish clear separation between operational reporting, analytics, and insights-reducing over-reliance on reporting as a data extraction tool.

  • Define andvalidatepriority analytics andAI/MLuse cases to guide product, data, and platform investment decisions.

  • Develop and executedataand analytics monetizationstrategies, including premium reporting, benchmarking, diagnostics, recommendations, andAI/ML-driven insights.

  • Use analytics andAI/MLintentionally to increase adoption and usage of Aven products by helping customersoptimizeconfiguration, pricing, distribution, operations, and performance decisions.

  • Partner with Engineering, Innovation, UX, and Commercial teams to deliver scalable, differentiated, and monetizable analytics capabilities.

  • Evaluate and recommend data, analytics, reporting, business intelligence, andAI/MLtechnologies to ensure Aven's platform remains competitive, scalable, and aligned to customer needs.

  • Partner across teams to help shape the long-term direction for analytics, self-service reporting, business intelligence, data products, andAI/ML-powered insights, balancing customer demand, technical investment, and commercial opportunities.

  • Partner with Product Development and Architecture teams to influence data models, semantic layers, governance standards, platform modernization efforts, and future analytics capabilities.

  • Monitor industry trends and emerging technologies across data platforms, business intelligence, analytics,AI/ML, and Gen-AI/MLtoidentifyopportunities for innovation and product differentiation.

  • Develop product requirements forAI/ML-assisted workflows, conversational analytics, anomaly detection, recommendations, forecasting, intelligent automation, and other insight-driven capabilities.

  • Define adoption, engagement, monetization, and customer outcome metrics and use those measures to prioritize future investments.

  • Partner with Engineering and Architecture teams to support modernization of Aven's analytics and data platform ecosystem, ensuring readiness for futureAI/MLand advanced analytics use cases.

  • Collaborate with Security, Privacy, and Engineering teams to ensure analytics andAI/MLcapabilities align with data governance, compliance, and responsibleAI/MLprinciples.

  • Drive analytics andAI/MLcapabilities that increase adoption, retention, and customer value across CRS, Booking Engine, Digital Marketing, Payments, Revenue Optimization, and future platform products.

What Success Looks Like

  • Operational reporting is reliable, scalable, and trusted as the system of record.

  • Self-service analytics adoption increases while manual exports and reliance on external tools decline.

  • Analytics, benchmarking, andAI/ML-powered insights generate incremental revenue and improve customer retention.

  • Insights demonstrably influence customer decisions and increase adoption of Aven products and services.

  • A scalable and modern data platform supports rapid delivery of analytics,AI/ML-assisted experiences, and future innovations.

  • Customers view Aven's analytics capabilities as a differentiated reason to select, expand, and retain the platform.

  • Technology investments in BI, analytics, andAI/MLdemonstrably improve customer outcomes, product adoption, and business performance.

  • Analytics andAI/MLcapabilitiesincreasethe adoptionof CRS, Booking Engine, Payments, Digital Marketing, and other strategic platform products.

  • Data governance, quality, privacy, and compliance capabilities enable trusted and scalable analytics across the platform.

Ideal Background

  • 8-12 years of experience in Product Management, Analytics, Data Platforms, Business Intelligence, orAI/ML-enabled products.

  • Proven success building, modernizing, or scaling analytics, reporting, data platform, or business intelligence products in B2B SaaS environments.

  • Experience owning complex cross-functional initiatives involving Product, Engineering, Data, UX, and Commercial stakeholders.

  • Demonstrated success monetizing analytics, data-driven products, or premium insight offerings.

  • Strong understanding of data foundations, cloud data platforms, analytics architectures, semantic layers, and modern business intelligence ecosystems.

  • Experience with technologies such as Snowflake, Databricks, Looker, Tableau, Power BI, Sigma,Databuildtool,andMicrosoft Fabric

  • Proven ability to evaluate and influence analytics platform, BI tooling, andAI/MLinvestment decisions.

  • Experience defining and deliveringAI/ML-assisted or data-driven product experiences, including conversational analytics, recommendations, forecasting, or predictive insights.

  • Strong product management fundamentals, including customer discovery, roadmap development, prioritization, business case development, and go-to-market execution.

  • Track record of improving usability, self-service adoption, customer engagement, and measurable business outcomes.

  • Ability to communicate effectively with technical teams, executive stakeholders, customers, and prospects.

  • Experience building or managing analytics, dataplatforms, business intelligence, orAI/ML-enabled products used by enterprise customers.

Outstanding Benefits

  • Very competitive compensation
  • Generous Paid Time Off (25 PTO days)
  • 8 Hours of Volunteer Time Off (VTO)
  • We offer a comprehensive medical, dental and Wellness Program
  • 12 weeks paid parental leave
  • An infrastructure that allows flexible working arrangements
  • Formal and informal reward, recognition and acknowledgement programs
  • Lots of fun and engaging employee development events

Reasonable Accommodation

Aven Hospitality is committed to working with and providing reasonable accommodation to applicants with disabilities. Applicants applying for a Aven Hospitality position with a disability who require a reasonable accommodation for any part of the application or hiring process may contact Aven Hospitality at Contact Us

Determinationson requests for reasonable accommodation will be made on a case-by-case basis.

Affirmative Action

Aven Hospitality is an equal employment opportunity/affirmative action employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals.EEO IS THE LAW

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