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Data Strategy Manager

Invisible Technologies

Full-time
USA
$100k-$120k per year
strategy
project management
recruiting
data science
payroll
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Consulting jobs

 

Data Stratagey Manager

 

About Invisible 

 

Invisible is the operations innovation company transforming how companies are built and run. 

We are a tech-enabled service providing solutions to the world’s most complex business problems. Driven by our proprietary process orchestration platform, we seamlessly integrate advanced AI and automation with a global network of over 3,500 experts. This powerful combination delivers new capabilities and eliminates barriers to execution for our clients, unlocking unprecedented efficiency, scale, and growth opportunities. 

Invisible has experienced exponential growth, quadrupling in size year over year for the past three years. At the beginning of 2024, we surpassed an Annual Recurring Revenue (ARR) of $100 million and continue to grow at speed. Operating as a profitable business, we maintain near complete ownership, with a firm foundation built on creating long-term shareholder value. We are excited to offer substantial equity compensation as part of our commitment to our team, presenting life-changing opportunities for our partners. 

 

About The Role  

The AI Industry is changing fast, and as it becomes more mature, there is a need for research labs to level up how they approach model development to foster constant model improvement. Furthermore, companies who are customers of foundational models are looking to industry experts to help them adopt AI to positively impact their organizations. Data Strategy enables best-in-class Model Acceleration by using the principles of data science to wield industry expertise and achieve measurable outcomes. We empower research teams to answer three questions with confidence: 

 

  • Where is the most lucrative opportunity for incremental lift in my model? 

 

  • How should I design data to realize that incremental lift? 

 

  • How do I measure the ROI across various AI Training Strategies?

 

A successful candidate will be a fast, adaptable learner to keep pace within this high-velocity space. They will also deliver excellent service and strategic, thought-partnership to clients through  using the principles of data science to wield industry expertise and achieve measurable model acceleration. 

 

What You’ll Do 

Key Responsibilities 

Help our Clients find the biggest areas of opportunity for improvement of their modelConsult with Clients of Invisible to understand their business goals, and the performance of their AI stack within their market, and create comprehensive diagnostics of their AI programming, and where they are falling short with their data. Deliver diagnostics in a way that promotes dialogue with the client, and is something they can share internally throughout their organizationHelp our Clients and Internal teams Select and Design the Correct Data Plan to Address the Model Improvement they are seeking. Use Findings in Diagnostics to create hypotheses with the client on hour to achieve ideal model performance, and create strategic plans for their AI Data that will deliver the highest impact. Work with both Delivery Operations, Solutions, and Account managers to ensure these data plans are able to be delivered, and that we are able to procure budget to execute against them. Manage Complex Projects: Partner with clients to align on expected work volume, use forecasts to develop a project plan, and ensure sufficient capacity. Serve as a bridge between the client and automations teams to develop and refine processes.Help External and internal stakeholders define and measure the ROI of different AI Training strategies Data Analysis and Statistics to deliver ongoing ROI measures on the impact of various AI Training strategies as they are implemented. 

 

  • Innovate & Iterate on Process Design: Build and design frameworks and guidelines to drive best practices in AI training and, ultimately, improvements to AI models. Iterate through collaboration with team members, peers, and clients.

  • solutions to critical issues. Seek cross-cutting improvements to systems to improve the team.

  • Own Your Business: Maintain client health in both service and unit economics and provide guidance and leadership to the team of operators that are in charge of producing the outputs of the client/process. Own the financial cycles for the book of clients, including payroll reconciliation and approval, and end-of-month closure of the financials. Collaborate with the Director/s to develop and implement strategies that drive growth and profitability. 

What We Need 

Skills and Qualifications 

  • At least 5 years of experience in a data-centric, client-facing role.

  • Proven track record of managing client relationships and delivering exceptional service 

  • Candidates must have a deep understanding of data science, research techniques,  and statistics. 

  • Candidates must have general knowledge of AI and Linguistic

  • Strong management and leadership skills and ability to provide guidance and support to a team.

  • Experience in capacity planning and project management

  • Excellent communication skills, both verbal and written

  • Ability to work remotely and manage teams without in-person interaction

  • Ability to think strategically in complex and difficult situations

  • Strong sense of urgency and ability to prioritize tasks; be open and flexible on schedules 

 

What’s In It For You 

We believe in recognizing exceptional work with exceptional benefits. That’s why we empower our Partners to work remotely around the world on a schedule that suits their lifestyle. Our Partner Pay Model is fully transparent and designed for co-ownership, recognizing that professionals have unique needs. We balance profitability and growth by reinvesting annual profits to fuel expansion and fairly compensate our partners. With over 65% ownership already in the hands of our partners, we are committed to achieving 100% partner ownership. Moreover, our leadership team is legally obligated to buy back partner shares according to a formal liquidity plan. This ensures a clear path for those who choose to sell their stake in the company. 

Compensation & Benefits 

  • Working Times: US (EST or PST) Hours

  • Compensation Breakdown

○ Base: $100,000 

○ Base + Bonus Target: $120,000 

○ This role is eligible to participate in Invisible’s equity plan.

The amount listed above is the expected annual base salary for this role, subject to change.

Country Hiring Guidelines: Invisible hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. 

Privacy Policy: 

All candidates and residents of California may visit our Recruitment Privacy Policy and Notice at Collection here. 

Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you need assistance or accommodation due to a disability, please contact our Talent Acquisition team during the recruitment process at accommodation@invisible.email. 

Equal Opportunity Statement: We are an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.

You may view Invisible Pay Transparency Policy, and Equal Employment Opportunity is the Law notice, by clicking on the corresponding links.

 

Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on responses to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us. 

 

About the job

Full-time
USA
$100k-$120k per year
Posted 1 year ago
strategy
project management
recruiting
data science
payroll
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Data Strategy Manager

Invisible Technologies
The job listing has expired. Unfortunately, the hiring company is no longer accepting new applications.

To see similar active jobs please follow this link: Remote Consulting jobs

 

Data Stratagey Manager

 

About Invisible 

 

Invisible is the operations innovation company transforming how companies are built and run. 

We are a tech-enabled service providing solutions to the world’s most complex business problems. Driven by our proprietary process orchestration platform, we seamlessly integrate advanced AI and automation with a global network of over 3,500 experts. This powerful combination delivers new capabilities and eliminates barriers to execution for our clients, unlocking unprecedented efficiency, scale, and growth opportunities. 

Invisible has experienced exponential growth, quadrupling in size year over year for the past three years. At the beginning of 2024, we surpassed an Annual Recurring Revenue (ARR) of $100 million and continue to grow at speed. Operating as a profitable business, we maintain near complete ownership, with a firm foundation built on creating long-term shareholder value. We are excited to offer substantial equity compensation as part of our commitment to our team, presenting life-changing opportunities for our partners. 

 

About The Role  

The AI Industry is changing fast, and as it becomes more mature, there is a need for research labs to level up how they approach model development to foster constant model improvement. Furthermore, companies who are customers of foundational models are looking to industry experts to help them adopt AI to positively impact their organizations. Data Strategy enables best-in-class Model Acceleration by using the principles of data science to wield industry expertise and achieve measurable outcomes. We empower research teams to answer three questions with confidence: 

 

  • Where is the most lucrative opportunity for incremental lift in my model? 

 

  • How should I design data to realize that incremental lift? 

 

  • How do I measure the ROI across various AI Training Strategies?

 

A successful candidate will be a fast, adaptable learner to keep pace within this high-velocity space. They will also deliver excellent service and strategic, thought-partnership to clients through  using the principles of data science to wield industry expertise and achieve measurable model acceleration. 

 

What You’ll Do 

Key Responsibilities 

Help our Clients find the biggest areas of opportunity for improvement of their modelConsult with Clients of Invisible to understand their business goals, and the performance of their AI stack within their market, and create comprehensive diagnostics of their AI programming, and where they are falling short with their data. Deliver diagnostics in a way that promotes dialogue with the client, and is something they can share internally throughout their organizationHelp our Clients and Internal teams Select and Design the Correct Data Plan to Address the Model Improvement they are seeking. Use Findings in Diagnostics to create hypotheses with the client on hour to achieve ideal model performance, and create strategic plans for their AI Data that will deliver the highest impact. Work with both Delivery Operations, Solutions, and Account managers to ensure these data plans are able to be delivered, and that we are able to procure budget to execute against them. Manage Complex Projects: Partner with clients to align on expected work volume, use forecasts to develop a project plan, and ensure sufficient capacity. Serve as a bridge between the client and automations teams to develop and refine processes.Help External and internal stakeholders define and measure the ROI of different AI Training strategies Data Analysis and Statistics to deliver ongoing ROI measures on the impact of various AI Training strategies as they are implemented. 

 

  • Innovate & Iterate on Process Design: Build and design frameworks and guidelines to drive best practices in AI training and, ultimately, improvements to AI models. Iterate through collaboration with team members, peers, and clients.

  • solutions to critical issues. Seek cross-cutting improvements to systems to improve the team.

  • Own Your Business: Maintain client health in both service and unit economics and provide guidance and leadership to the team of operators that are in charge of producing the outputs of the client/process. Own the financial cycles for the book of clients, including payroll reconciliation and approval, and end-of-month closure of the financials. Collaborate with the Director/s to develop and implement strategies that drive growth and profitability. 

What We Need 

Skills and Qualifications 

  • At least 5 years of experience in a data-centric, client-facing role.

  • Proven track record of managing client relationships and delivering exceptional service 

  • Candidates must have a deep understanding of data science, research techniques,  and statistics. 

  • Candidates must have general knowledge of AI and Linguistic

  • Strong management and leadership skills and ability to provide guidance and support to a team.

  • Experience in capacity planning and project management

  • Excellent communication skills, both verbal and written

  • Ability to work remotely and manage teams without in-person interaction

  • Ability to think strategically in complex and difficult situations

  • Strong sense of urgency and ability to prioritize tasks; be open and flexible on schedules 

 

What’s In It For You 

We believe in recognizing exceptional work with exceptional benefits. That’s why we empower our Partners to work remotely around the world on a schedule that suits their lifestyle. Our Partner Pay Model is fully transparent and designed for co-ownership, recognizing that professionals have unique needs. We balance profitability and growth by reinvesting annual profits to fuel expansion and fairly compensate our partners. With over 65% ownership already in the hands of our partners, we are committed to achieving 100% partner ownership. Moreover, our leadership team is legally obligated to buy back partner shares according to a formal liquidity plan. This ensures a clear path for those who choose to sell their stake in the company. 

Compensation & Benefits 

  • Working Times: US (EST or PST) Hours

  • Compensation Breakdown

○ Base: $100,000 

○ Base + Bonus Target: $120,000 

○ This role is eligible to participate in Invisible’s equity plan.

The amount listed above is the expected annual base salary for this role, subject to change.

Country Hiring Guidelines: Invisible hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. 

Privacy Policy: 

All candidates and residents of California may visit our Recruitment Privacy Policy and Notice at Collection here. 

Accessibility Statement: We are committed to providing reasonable accommodations for individuals with disabilities. If you need assistance or accommodation due to a disability, please contact our Talent Acquisition team during the recruitment process at accommodation@invisible.email. 

Equal Opportunity Statement: We are an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or veteran status, or any other basis protected by law.

You may view Invisible Pay Transparency Policy, and Equal Employment Opportunity is the Law notice, by clicking on the corresponding links.

 

Due to a high volume of candidates, Invisible may use automated decision-maker technologies to filter candidates based on responses to our application questions and other provided information. Our use of automated decision-making enables us to be efficient by providing a manageable list of possible candidates that meet our mandatory hiring criteria. If you object to our use of automated decision-making please contact us. 

 

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