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All Domain Anomaly Resolution Jobs in Indiana (NOW HIRING)

Cisco

Applied AI Scientist

Indianapolis, IN · On-site

... all within a flexible, growthoriented environment. Your Impact * Contribute to the research, design ... Advanced Anomaly Detection with Graph: Track record developing hybrid graph-temporal approaches (e ...

Pfizer

Each Pfizer domain (i.e., R&D, Commercial, Global Supply, Enabling Functions) has distinct compute ... all of them without compromise. As Pfizer advances from assistive AI tools toward autonomous ...

Eli Lilly and Company

SAP DevOps Lead

Indianapolis, IN · On-site

Evaluate risks for all platform changes while maintaining high availability within the SAP ... Evaluate and govern BTP API exposure for AI-based use cases, including AI Anomaly Detection and LLM ...

Eli Lilly and Company

SAP DevOps Lead

Indianapolis, IN · On-site

Evaluate risks for all platform changes while maintaining high availability within the SAP ... Evaluate and govern BTP API exposure for AI-based use cases, including AI Anomaly Detection and LLM ...

Allied Solutions LLC

Senior HRIS Analyst

Carmel, IN · On-site

$90K - $114K/yr

Manage and resolve HRIS support tickets, ensuring timely issue resolution and strong end-user ... Maintain system security, including roles, security groups, and domain policies in compliance with ...

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All Domain Anomaly Resolution information

Who is in charge of investigating UFOs?

In the context of All Domain Anomaly Resolution, professionals such as aerospace analysts and intelligence officers are involved in investigating unidentified flying objects. These investigations often involve analyzing sensor data, radar, and visual reports, and may require security clearances and specialized training. The responsibility typically falls under government agencies like the Department of Defense or intelligence community units dedicated to national security and aerospace anomaly resolution.

What is the difference between All Domain Anomaly Resolution vs Network Security Analyst?

AspectAll Domain Anomaly ResolutionNetwork Security Analyst
Required CredentialsCertifications like CISSP, CEH, or network-specific trainingCertifications such as CompTIA Security+, CISSP, or Cisco CCNA Security
Work EnvironmentFocuses on monitoring and resolving anomalies across multiple domains and systemsPrimarily monitors and protects network infrastructure and security
Employer & Industry UsageUsed in cybersecurity, IT operations, and incident response teamsCommon in cybersecurity, IT departments, and enterprise networks

All Domain Anomaly Resolution specialists focus on identifying and resolving irregularities across various digital domains, ensuring system integrity. Network Security Analysts primarily protect network infrastructure from threats. While both roles involve cybersecurity skills and certifications, All Domain Anomaly Resolution has a broader scope across multiple systems, whereas Network Security Analysts concentrate on network-specific security measures.

What are the key skills and qualifications needed to thrive as an All Domain Anomaly Resolution (ADAR) analyst, and why are they important?

To thrive as an All Domain Anomaly Resolution analyst, you need expertise in data analysis, intelligence gathering, and cross-domain situational assessment, typically supported by a background in military, intelligence, or related technical fields. Familiarity with analytical software, classified information management systems, and intelligence reporting platforms is essential. Strong critical thinking, attention to detail, and effective communication skills enable analysts to interpret ambiguous data and collaborate across agencies. These competencies are crucial for accurately identifying, investigating, and resolving potential threats or anomalies across multiple operational domains.

What is the UAP task force?

The UAP task force is a government initiative established to investigate and analyze unidentified aerial phenomena, often involving data collection from military and civilian sources. For All Domain Anomaly Resolution roles, understanding UAPs may involve analyzing sensor data, using advanced tools, and collaborating with defense or intelligence agencies.

What are the typical challenges faced by professionals working in All Domain Anomaly Resolution, and how can they be addressed?

Professionals in All Domain Anomaly Resolution often encounter challenges such as rapidly evolving threats, large volumes of complex data from multiple sources, and the need for timely, coordinated responses across different domains (air, space, cyber, etc.). Success in this role often depends on strong analytical skills, the ability to work collaboratively with multidisciplinary teams, and continuous learning to stay current on emerging technologies and tactics. Developing effective communication channels and leveraging advanced data analysis tools can help address these challenges and improve response times.

What is All Domain Anomaly Resolution?

All Domain Anomaly Resolution (ADAR) refers to a multidisciplinary approach used by organizations, particularly within the U.S. Department of Defense and intelligence community, to identify, analyze, and resolve unexplained phenomena or anomalies that occur across multiple operational domains such as air, space, land, sea, and cyberspace. The goal is to enhance national security by understanding the nature and origin of these anomalies, which can include unidentified aerial phenomena (UAPs) or unexplainable technological activities. ADAR programs often coordinate between various agencies to gather data, investigate incidents, and recommend policy or procedural changes based on their findings.

Who runs the Aaro?

In the context of All Domain Anomaly Resolution, the role is typically managed by cybersecurity professionals or specialized teams responsible for monitoring and resolving domain anomalies. These teams often work within organizations or security firms using tools like DNS analysis and anomaly detection systems to ensure domain integrity and security.

What is the all-domain anomaly resolution office?

The All Domain Anomaly Resolution Office (ADAO) is a U.S. government agency responsible for investigating and analyzing unidentified anomalous phenomena across multiple domains, including air, sea, space, and cyberspace. Its goal is to assess potential threats and gather intelligence related to unexplained events, often requiring specialized skills in intelligence analysis, aerospace, and cybersecurity.
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What job categories do people searching All Domain Anomaly Resolution jobs in Indiana look for? The top searched job categories for All Domain Anomaly Resolution jobs in Indiana are:
What cities in Indiana are hiring for All Domain Anomaly Resolution jobs? Cities in Indiana with the most All Domain Anomaly Resolution job openings:
All Domain Anomaly Resolution jobs near you
Infographic showing various All Domain Anomaly Resolution job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.
Marketing Technology Analyst (MarTech)

Marketing Technology Analyst (MarTech)

PadSplit

Brazil, IN • On-site

Contractor

Posted 29 days ago

Job description

The Role We Need

PadSplit is hiring a MarTech Analyst to own the measurement infrastructure that powers lifecycle marketing for Member and Host Growth to report into our Director of Performance Marketing. This means full ownership of our Customer Data Platform (Segment), our attribution stack (Rockerbox), and the event taxonomy that connects every marketing dollar and effort to member and host outcomes. You'll also serve as the technical bridge between our lifecycle automation platform (Iterable and Pardot) and Salesforce + analytics layer - ensuring that what we send, and when, is informed by clean, trustworthy data. 

This is an ownership role, not a ticket-taker role. You will sit at the intersection of marketing, data engineering, and product analytics. If you find joy in diagnosing why two dashboards don't agree, building event schemas that scale across mobile and web, and using AI to eliminate the manual work that slows decisions down - this role was designed for you. You cannot only report on what happened, but can also leverage the data to tell the story and what should be done next.

The Person We Are Looking For

The ideal candidate is a technical builder who has lived inside a CDP and come out the other side with strong opinions about how event data should flow. You have hands-on experience with marketing attribution platforms and know how to interrogate channel performance data rather than just report on it. You are fluent in SQL, comfortable in Python, and you've already incorporated AI tools - LLMs, prompt workflows, or automation pipelines - into your day-to-day work.

You thrive with ownership and ambiguity. You work async in English with confidence. You are the person your last team called when the numbers didn't add up, and you liked that call. You understand that measurement infrastructure does not support work - it is the foundation on which every growth decision is made.

Here's What You'll Do Day-To-Day:
  • Own Segment CDP governance: Maintain and evolve the event taxonomy across web, mobile, and server-side sources. Own cross domain and cross identity mapping. Audit data quality, resolve identity resolution issues, and ensure every marketing tool downstream receives clean, reliable data.
  • Own Rockerbox attribution: Serve as the day-to-day owner of our multi-touch attribution platform. Diagnose channel-level performance, investigate attribution anomalies (including consent tool impacts), and build the feedback loops that inform paid media spend decisions.
  • Build and maintain marketing measurement infrastructure: Develop and document the measurement layer for all Member and Host Growth experiments - owning success metrics integrity, building pre/post cohorts, and ensuring statistical validity before results are acted upon acting as a consultative partner to marketing.
  • Support lifecycle automation analytics: Partner with our Marketing Automation team (Iterable) to ensure behavioral triggers, segmentation logic, and campaign performance data are accurate and actionable. Audit automation flows for data integrity.
  • Build AI-augmented marketing analytics workflows: Identify repetitive analysis tasks - weekly reporting, anomaly detection, data quality checks - and replace them with AI-powered pipelines. You will be expected to actively prototype and ship AI workflows, not just evaluate them.
  • Partner across data, product, and paid media: Collaborate with our Data team (Snowflake warehouse), Performance Marketing (Rockerbox, AppsFlyer, Google/Meta), and Product (Segment instrumentation on new features) to ensure the measurement layer scales as the business does.
  • Build and maintain marketing dashboards: Own the marketing measurement layer in Hex and other BI tools. Create dashboards that give the team a single source of truth on CAC, conversion velocity, funnel efficiency, and channel-level attribution.
  • Diagnose attribution and data quality issues: When a metric looks wrong, you investigate and resolve it - not escalate it. You own the answer.
Here's What You'll Need To Be Successful:
  • Segment CDP mastery: Deep, hands-on experience managing a Segment workspace - event schemas, sources, destinations, identity resolution, and data governance. You know what a track call should look like and why it matters.
  • Attribution platform experience: Hands-on experience with Rockerbox, AppsFlyer, or a comparable MTA platform. You understand first-touch vs. last-touch vs. data-driven attribution and know when each is the right lens.
  • Optimizing Cross-Platform Integrations experience: You know how to make systems talk to one another leveraging tools like Zapier or Make to connect marketing, CRMs (Salesforce + ZenDesk), attribution tools and reporting systems. You love good automation. 
  • SQL proficiency (required): You write complex analytical queries independently - CTEs, window functions, cohort logic. Snowflake or BigQuery experience preferred.
  • Python proficiency (strongly preferred): Experience using Python for data manipulation, pipeline scripting, or analysis automation. Pandas, dbt, or similar tooling is a plus.
  • AI/LLM hands-on experience: You have built something with an LLM - a prompt-based workflow, an automated analysis pipeline, an agent-assisted reporting tool, or similar. You approach AI as a productivity multiplier, not a novelty.
  • Lifecycle/ESP/CRM analytics experience: Familiarity with Iterable, Braze, or a comparable lifecycle platform - specifically the analytics and data layer, not just campaign execution. 
  • Marketing analytics fluency: You understand CAC, LTV, conversion rate by funnel stage, channel specific nuances and ROAS. You can move between a data model and a marketing strategy conversation without losing context.
  • English fluency (required): You will work daily with a US-based team. Strong written and spoken English is essential for async collaboration, documentation, and cross-functional alignment.
  • Experiment measurement: Experience designing measurement frameworks for A/B tests - control/treatment cohort construction, metric selection, and results interpretation.
The Interview Process:
  • Your application will be reviewed for possible next steps by the Hiring Manager.
  • If you meet eligibility requirements, the next step would be a phone screen with a member of the PeopleOps team for approximately thirty (30) minutes.
  • If warranted, the next step would be a video interview with the Director of Performance Marketing for forty-five (45) minutes.
  • If warranted, the next step would be a technical assessment and video interview with a small panel of key stakeholders (Data, Performance Marketing, Marketing Automation) for one (1) hour. Candidates will walk through a live data scenario for discussion.
  • If warranted, the final step would be a thirty (30) minute interview with the VP of Member Growth and the President.
  • If warranted, then we move to offer!
$55,000 - $64,000 a year
Compensation is based on the role's scope, national market benchmarks, the person's expertise and experience, and the impact of their contributions to our business goals.
Please note: Although the job posting says it's in Brazil, this is a fully remote position open to anyone in South America. This is a result of our Applicant Tracking System requiring a location to post the role on LinkedIn.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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