Skip to main content

Analytics Engineering Manager, Data Platform & Governance

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company, product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together, the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them, which is exactly the job we're hiring for.

The Role

Job Skills

color numbers marketplace backlog data pipeline dashboards governance data platform data system manager job description finance redshift event data genetics data governance disability source naming convention dashboard source data investment trustworthy guard lawn care manage map prioritizing governing plan com semantic sql funnels data quality airflow safe m data feeding applicable state anomaly detection source datum automated governed product marketing documented processes gnome machine learning breakage marketing operation writing data warehouse checklist automation access control privacy law write blob collaboration legible build automation impact assessment fix govern accountable live migration tracking prioritization operating prioritized data security event tracking operate hygiene github mapping truth toolkit team leadership tooling tableau analytics debug layer mapped scale workflow triage
View the job post & apply

Analytics Engineering Manager, Data Platform & Governance

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company, product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together, the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them, which is exactly the job we're hiring for.

The Role

Job Skills

color numbers marketplace backlog data pipeline dashboards governance data platform data system manager job description finance redshift event data genetics data governance disability source naming convention dashboard source data investment trustworthy guard lawn care manage map prioritizing governing plan com semantic sql funnels data quality airflow safe m data feeding applicable state anomaly detection source datum automated governed product marketing documented processes gnome machine learning breakage marketing operation writing data warehouse checklist automation access control privacy law write blob collaboration legible build automation impact assessment fix govern accountable live migration tracking prioritization operating prioritized data security event tracking operate hygiene github mapping truth toolkit team leadership tooling tableau analytics debug layer mapped scale workflow triage
View the job post & apply

Lead Architect - Digital Assets

posted by: spj_bot

We are hiring on behalf of our client, an established, leading European regulated financial institution who is expanding its digital assets capabilities to build the next generation of financial market infrastructure. The organization is seeking a Lead Architect – Digital Assets to lead a zero-to-one build, bridging traditional capital markets with decentralised finance (DeFi).

This mandate involves architecting the core platform behind initial tokenised offerings across two major live initiatives currently in design:

  1. Tokenised Issuance, Trading, and Settlement Platform: Supporting equities, ETFs, and bonds with a 24/7 central limit order book, fractional trading, CCP-cleared trades, and end-of-day atomic DvP settlement on-chain.
  2. Tokenised Collateral-Management Platform: Designed for sovereign bonds to enable real-time repo, CCP-margin eligibility, and DeFi distribution of government securities through gated lending venues.

The architecture is built on core principles: the token serves as the direct financial instrument, one ISIN corresponds to one ledger, and tokenisation is driven directly by the CSD. The Lead Architect will turn these principles into a concrete, secure, resilient, and auditable infrastructure.

Requirements

Job Skills

regulatory compliance test suite network topology employee benefit leadership decision make capital market security policy system design design system hyperledger key management hygiene code review distributed systems communication risk control working groups computer science securities governance license regulated security cross functional collaboration bridge operational professional certifications tooling finance integrating financial instrument build bridging threat modelling managed securely digital asset operations settlement anomaly detection stakeholder management blockchain solution architecture automated audit ethereum equities financial institution security architecture real time topology govern bridges development e system integration resilient infrastructure security token financial market software process delivery process applicable data enforcing regulated financial government e collateral management integrate composure onboarding financial system
View the job post & apply

Analytics Engineering Manager, Data Platform & Governance

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company, product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together, the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them, which is exactly the job we're hiring for.

The Role

Job Skills

color numbers marketplace backlog data pipeline dashboards governance data platform data system manager job description finance redshift event data genetics data governance disability source naming convention dashboard source data investment trustworthy guard lawn care manage map prioritizing governing plan com semantic sql funnels data quality airflow safe m data feeding applicable state anomaly detection source datum automated governed product marketing documented processes gnome machine learning breakage marketing operation writing data warehouse checklist automation access control privacy law write blob collaboration legible build automation impact assessment fix govern accountable live migration tracking prioritization operating prioritized data security event tracking operate hygiene github mapping truth toolkit team leadership tooling tableau analytics debug layer mapped scale workflow triage
View the job post & apply

Senior Security Engineer

posted by: spj_bot

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring a Senior Security Engineer to own the technical security posture of those systems once they are live: the infrastructure they run on, the pipelines that feed them, and the agents that act on their output. The role is fully remote across Latin America, aligned to your client's working day.

This is not an audit seat. Azumo has shipped production AI since 2016, and the work here is in the systems themselves — hardening infrastructure, closing vulnerabilities, and building the guardrails that keep AI-driven workflows safe in front of real users.

Where this role sits

At Azumo, ownership is split by what gets built: the pipelines, the method behind a decision, the product, and what an AI system does once it's live. Security doesn't work that way. It has to be right across all of them, and that's what this role owns.

Gap or breach, it's yours. If there's a gap, you find it and close it before anyone outside the team does. If there's a breach, you run it: containment, root cause, and the fix that keeps it from happening twice.

Whoever builds the system answers for whether it works. You answer for whether it's safe to run. That split is agreed before the work starts, not reported after.

Job Skills

dss professional endpoint security risk assessments secure patterns threat modeling hipaa api design security engineering senior engineer application security banking communication skills operations information security harden security community plan powered systems operational investigation safe toolchain career development open source vulnerability management anomaly detection automated offensive security stage codebase incident response aws security specialty grading terraform operates reliability web systems ul access control self directed cloud security root cause act workflows fix git software development vulnerabilities logging prioritization english maternity support engineers security engineer operating cloud infrastructure infrastructure security file github code review penetration testing PCI management devsecops computer science translation San latin tooling remuneration SIEM closing teaching testing code bank auditor philanthropy audit hardening infrastructure as code layer technical writing infrastructure embedded encryption production system
View the job post & apply

Senior Data Scientist - Operation Analyst

posted by: spj_bot

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are seeking an experienced Senior Data Scientist to drive advanced analytics initiatives focused on improving operations Analytics accuracy. This role requires a strong blend of machine learning expertise, deep learning knowledge, and hands-on healthcare domain understanding.

Key Responsibilities

Job Skills

View the job post & apply

Senior Security Engineer

posted by: spj_bot

Senior Security Engineer

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring a Senior Security Engineer to own the technical security posture of those systems once they are live: the infrastructure they run on, the pipelines that feed them, and the agents that act on their output. The role is fully remote across Latin America, aligned to your client's working day.

This is not an audit seat. Azumo has shipped production AI since 2016, and the work here is in the systems themselves — hardening infrastructure, closing vulnerabilities, and building the guardrails that keep AI-driven workflows safe in front of real users.

Where this role sits

At Azumo, ownership is split by what gets built: the pipelines, the method behind a decision, the product, and what an AI system does once it's live. Security doesn't work that way. It has to be right across all of them, and that's what this role owns.

Gap or breach, it's yours. If there's a gap, you find it and close it before anyone outside the team does. If there's a breach, you run it: containment, root cause, and the fix that keeps it from happening twice.

Whoever builds the system answers for whether it works. You answer for whether it's safe to run. That split is agreed before the work starts, not reported after.

What you will build

Job Skills

dss professional endpoint security risk assessments secure patterns threat modeling hipaa api design security engineering senior engineer application security banking communication skills operations information security harden security community plan com powered systems operational investigation safe toolchain career development open source vulnerability management anomaly detection automated offensive security stage codebase incident response aws security specialty grading terraform operates reliability web systems access control self directed cloud security root cause write act workflows fix git software development vulnerabilities logging prioritization english maternity support engineers security engineer operating cloud infrastructure infrastructure security file github code review penetration testing PCI management devsecops computer science translation San latin tooling remuneration SIEM closing teaching testing code bank auditor philanthropy audit hardening infrastructure as code layer technical writing infrastructure embedded encryption production system
View the job post & apply

Senior Security Engineer, Platforms & AI - Remote - Latin America

posted by: spj_bot

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring a Senior Security Engineer to own the technical security posture of those systems once they are live: the infrastructure they run on, the pipelines that feed them, and the agents that act on their output. The role is fully remote across Latin America, aligned to your client's working day.

You will not be writing policy. Azumo has shipped production AI since 2016, and the work here is in the systems themselves — hardening infrastructure, closing vulnerabilities, and building the guardrails that keep AI-driven workflows safe in front of real users.

Where this role sits

Most engineering organizations split ownership by what's built: pipelines and data infrastructure, the model or the method behind a decision, the product itself, and — once AI systems are live — what they actually do in front of users. Security isn't one more slice next to those. It's the discipline that has to hold inside every one of them, and on any team large enough to carry a dedicated specialist, this is the role that owns it.

Job Skills

professional endpoint security threat modeling hipaa api design security engineering senior engineer application security banking communication skills information security harden security community com powered systems investigation safe toolchain career development open source accountability vulnerability management anomaly detection automated offensive security stage codebase incident response aws security specialty grading terraform operates ul access control integration delivery model cloud security root cause write hardened data infrastructure act workflows fix git software development vulnerabilities logging english maternity support engineers security engineer cloud infrastructure infrastructure security file github code review penetration testing management devsecops computer science translation San latin tooling build pipeline remuneration SIEM closing teaching testing code philanthropy audit hardening infrastructure as code layer technical writing infrastructure embedded encryption production system
View the job post & apply

Analytics Engineering Manager, Data Platform & Governance

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company, product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together, the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them, which is exactly the job we're hiring for.

The Role

Job Skills

color numbers marketplace backlog data pipeline dashboards governance data platform data system manager job description finance redshift event data genetics data governance disability source naming convention dashboard source data investment trustworthy guard lawn care manage map prioritizing governing plan com semantic sql funnels data quality airflow safe m data feeding applicable state anomaly detection source datum automated governed product marketing documented processes gnome machine learning breakage marketing operation writing data warehouse checklist automation access control privacy law write blob collaboration legible build automation impact assessment fix govern accountable live migration tracking prioritization operating prioritized data security event tracking operate hygiene github mapping truth toolkit team leadership tooling tableau analytics debug layer mapped scale workflow triage
View the job post & apply

Data Governance and Platform Manager

posted by: spj_bot

About LawnStarter

LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services - operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform.

About Analytics at LawnStarter

We're a small, senior analytics team supporting the entire company - product, marketing, operations, and finance all run on the data we serve. The foundation is solid: a centralized Redshift data warehouse where all source data lands, modeled in dbt and orchestrated by Airflow, with Segment feeding event data in. You won't be stitching scattered sources together - the platform exists; your job is to make it trustworthy and keep it that way. We're mid-migration to Lightdash as our single BI platform, replacing Tableau and Metabase.

Here's the honest gap: everyone on the team today is an analyst. Data quality, tracking standards, and platform hygiene get done as side work, squeezed between analyses. Nobody wakes up thinking about them - which is exactly the job we're hiring for.

Job Skills

color numbers people management marketplace data pipeline dashboards governance data platform data system manager job description finance redshift event data genetics data governance disability source naming convention dashboard source data guard trustworthy manage lawn care map operator governing plan com semantic funnels sql data quality airflow safe m data feeding applicable state anomaly detection automated governed product marketing documented processes gnome machine learning breakage marketing operation writing data warehouse checklist automation access control privacy law write blob collaboration legible build automation impact assessment fix govern live migration tracking operating data security event tracking operate hygiene github mapping truth toolkit tooling tableau analytics debug layer mapped scale workflow triage execute
View the job post & apply
Subscribe to anomaly detection

SPJ is not just a platform; it's a transformative force in the maritime sector. We reinvent job discovery and collaboration, leveraging cutting-edge AI to create a space where careers thrive and innovations set sail.

Featured Posts