Pay
Lower than most similar jobs
$107K–$154K against $154K–$226K, the middle half of what similar US postings state.
From 3,013 postings in the last year. Stated ranges, not salaries paid.
Data Strategy Operations Manager
Remote - USA
Actively hiring, first seen by us today- Pay
USD 107,100–154,000/year · BaseAnnual period assumed — pay source
Base salary range: $107,100—$154,000 USD A note on AI in our process: Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.
Read the full posting- Work setting
Remote — work setting source
Listed location: Remote - USA
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingAs the Data Strategy and Operations Manager at Abnormal AI, you will own our go-to-market data quality strategy and serve as the steward of data across Salesforce and the systems around it.
Ensure compliance and security of our data, and flag risks to IT, security, and leadership
Design and maintain AI agents and LLM-powered workflows that classify, enrich, validate, and remediate data, with guardrails, human review points, and accuracy measurement
Build automated data quality monitoring that detects issues early, alerts the right owner, and fixes them without human intervention where appropriate
From the employer’s posting
As the Data Strategy and Operations Manager at Abnormal AI, you will own our go-to-market data quality strategy and serve as the steward of data across Salesforce and the systems around it. You will design the processes, controls, and intelligent workflows that keep data accurate, enriched, and trusted at scale, so Sales, Marketing, Customer Success, and Finance can give executive leadership reliable metrics. You will decide where AI agents and automation take over repetitive data work and where human judgment still matters, and partner with cross-functional teams to evaluate system changes that affect our data programs.
Establish policies, access controls, and field-level definitions, including record creation and deprecation rules, and monitor adherence Ensure compliance and security of our data, and flag risks to IT, security, and leadership Replace high-volume manual tasks (deduplication, enrichment, account matching, hierarchy mapping, routing, anomaly review) with automated and AI-assisted workflows
Replace high-volume manual tasks (deduplication, enrichment, account matching, hierarchy mapping, routing, anomaly review) with automated and AI-assisted workflows Design and maintain AI agents and LLM-powered workflows that classify, enrich, validate, and remediate data, with guardrails, human review points, and accuracy measurement Build automated data quality monitoring that detects issues early, alerts the right owner, and fixes them without human intervention where appropriate
Design and maintain AI agents and LLM-powered workflows that classify, enrich, validate, and remediate data, with guardrails, human review points, and accuracy measurement Build automated data quality monitoring that detects issues early, alerts the right owner, and fixes them without human intervention where appropriate Evaluate and select AI, enrichment, and automation tooling, run pilots, and measure impact through time saved, accuracy gains, and coverage
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Nov 7, 2026today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 0
Early. Similar jobs usually come down between day 7 and day 55.
At Abnormal, jobs usually come down by about day 15.
From 8,347 similar postings that came down, and 5 of Abnormal’s. Coming down is not always a hire.
Abnormal is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- SQL
- dbt
- Excel
- Snowflake
Where the posting names them
- Strong written and verbal communication skills, including explaining technical and AI concepts to non-technical partners - Preferred: experience with workflow automation or integration platforms (such as Workato or Zapier), modern data stack tools (such as Snowflake or dbt), SQL, and a high-growth SaaS or security company #LI-EM3
- Experience implementing and managing data and enrichment tools, including AI-native tools such as Clay, Kernel, Starbridge, and Onfire - Proficiency in Excel - Track record of leading data management projects from idea to result
Your next step
Complete your application on abnormal.ai. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Demand for Data Leadership roles
New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
US government figures for computer and information systems managers
- Median yearly pay, May 2025
- $175,140
- Expected change, 2025 to 2035
- 15.8% more jobsagainst 3.5% for all jobs
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Job description
About the Role
As the Data Strategy and Operations Manager at Abnormal AI, you will own our go-to-market data quality strategy and serve as the steward of data across Salesforce and the systems around it. You will design the processes, controls, and intelligent workflows that keep data accurate, enriched, and trusted at scale, so Sales, Marketing, Customer Success, and Finance can give executive leadership reliable metrics. You will decide where AI agents and automation take over repetitive data work and where human judgment still matters, and partner with cross-functional teams to evaluate system changes that affect our data programs.
Who you are
- Data obsessed and just as obsessed with removing manual work, with a habit of automating any process that relies on fixing records by hand
- Curious about AI and a daily user, with experience shipping workflows with LLMs, agents, or AI-assisted tooling, and able to tell a useful application from a demo
- Eager to build and shape a program rather than only maintain one, and able to create systems that hold up at global scale
- Highly analytical, able to see the big picture and spot trends and gaps, then zoom in with practical, specific recommendations
- Steady when juggling multiple priorities in a constantly changing environment
- A good teammate, dedicated to the mission, who likes to have fun along the way
What you will do
- Set the data governance strategy, standards, ownership model, and source-of-truth hierarchy for GTM data across Salesforce and connected systems
- Establish policies, access controls, and field-level definitions, including record creation and deprecation rules, and monitor adherence
- Ensure compliance and security of our data, and flag risks to IT, security, and leadership
- Replace high-volume manual tasks (deduplication, enrichment, account matching, hierarchy mapping, routing, anomaly review) with automated and AI-assisted workflows
- Design and maintain AI agents and LLM-powered workflows that classify, enrich, validate, and remediate data, with guardrails, human review points, and accuracy measurement
- Build automated data quality monitoring that detects issues early, alerts the right owner, and fixes them without human intervention where appropriate
- Evaluate and select AI, enrichment, and automation tooling, run pilots, and measure impact through time saved, accuracy gains, and coverage
- Own the enrichment strategy and keep account firmographics accurate: hierarchies, employee count, location, industry, and Fortune ranking
- Act as the subject matter expert for Business Ops, Marketing Ops, Customer Success, and Finance, run a defined feedback intake process, and support consistent reporting and dashboards
- Manage a portfolio of data quality and automation projects with clear priorities, owners, and outcomes
Must Haves
- 5+ years in Sales Operations, Data Operations, or a similar analytical or systems role
- Hands-on experience building automation with AI or LLM tools (agents, prompt-driven workflows, AI-assisted enrichment), with shipped examples you can easily share
- Strong understanding of data lifecycle management, data modeling, master data management, and requirements gathering
- Demonstrated understanding of Salesforce automation, including Flow and validation rules, and experience working closely with admins
- Experience implementing and managing data and enrichment tools, including AI-native tools such as Clay, Kernel, Starbridge, and Onfire
- Proficiency in Excel
- Track record of leading data management projects from idea to result
- Sound judgment about where AI is reliable and where it needs controls for privacy, security, and accuracy
- Detail oriented, self-motivated, proactive, and quick to learn new tools
- Strong written and verbal communication skills, including explaining technical and AI concepts to non-technical partners
- Preferred: experience with workflow automation or integration platforms (such as Workato or Zapier), modern data stack tools (such as Snowflake or dbt), SQL, and a high-growth SaaS or security company
#LI-EM3
Actual compensation will be determined based on several non-discriminatory factors including skills, experience, qualifications, and geographic location.
In addition to base salary, this role may be eligible for bonus or incentive compensation, equity, and a comprehensive benefits package.
Base salary range:
$107,100—$154,000 USD
A note on AI in our process:
Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.
Abnormal AI is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law. For our EEO policy statement please click here. If you would like more information on your EEO rights under the law, please click here.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Base salary range: $107,100—$154,000 USD A note on AI in our process: Abnormal AI uses AI-assisted tools to help our recruiting team prepare for candidate interviews. These tools analyze resume content and role requirements to suggest interview questions and areas for the interviewer to explore.They do not make hiring decisions or screen candidates automatically. Every decision about a candidacy is made by a person. Further, if your application is successful and Abnormal AI makes a conditional offer of employment, we will carry out pre-employment checks which must be successfully completed to progress to a final offer. All processes and pre-employment checks are in line with prevailing legislation and Abnormal AI's policies relevant to our security and privacy standards.
- Location & working pattern
Remote - USA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.