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Data Optimization Lead Jobs (NOW HIRING)

TECHNICAL SEO LEAD | Based in EU As Technical SEO Lead, you'll be the person who makes sure ... Own Hostinger's technical readiness for AI-powered discovery -- structured data for LLM citation ...

$69K - $102K/yr

Lead Science is a division of DealerOn, an industry leading digital business enabler to the ... Proficient in Google Analytics and data analysis * Advanced experience in Local SEO Preferred ...

About Lead Science / DealerOn We are an online marketing company providing website and agency ... Proficient in Google Analytics and data analysis * Advanced experience in Local SEO Preferred ...

Health Care Data Engineer

New York, NY · On-site

$125K - $150K/yr

This role focuses on data optimization, workflow automation, and ensuring reliable data operations ... Lead data projects and ensure best practices * Collaborate across teams to meet data needs

EDI Data Engineer (Healthcare Domain)

New York, NY · Remote

$117K - $140K/yr

... lead expertise Summary: * The Senior Data Engineer designs and leads scalable data architectures and pipelines to support analytics and business intelligence. * This role focuses on data optimization ...

... lead a small team of individuals that would complete the following: * Auditing and optimization of ... data quality improvement, * Disputes of charges inaccurately billed, and/or disconnection of ...

... lead a small team of individuals that would complete the following: * Auditing and optimization of ... data quality improvement, * Disputes of charges inaccurately billed, and/or disconnection of ...

Showing results 41-60

Data Optimization Lead information

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$96.5K

$132.6K

$214.5K

How much do data optimization lead jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data optimization lead in the United States is $132,607.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $135,500.00 per year, depending on experience, location, and employer.

What is a data optimization lead?

A Data Optimization Lead is a professional responsible for overseeing strategies and initiatives to improve the efficiency, accuracy, and effectiveness of data systems within an organization. They analyze existing data processes, identify areas for improvement, and implement solutions that optimize data collection, storage, and usage. This role often involves collaborating with data engineers, analysts, and business stakeholders to ensure data-driven decision-making is fully supported by robust and streamlined data infrastructures.

How does a data optimization lead typically collaborate with cross-functional teams to improve data processes?

A Data Optimization Lead frequently works alongside data engineers, analysts, and business stakeholders to streamline data pipelines and enhance data quality. They facilitate workshops to understand team requirements, identify bottlenecks in existing processes, and propose scalable solutions. Regular cross-team meetings and clear documentation help ensure that data solutions align with business goals and technical capabilities. This collaborative approach not only fosters innovation but also ensures that improvements are tailored to the needs of all departments.

What are the key skills and qualifications needed to thrive as a data optimization lead, and why are they important?

To thrive as a Data Optimization Lead, you need expertise in data analysis, data modeling, and process optimization, typically supported by a degree in computer science, data science, or a related field. Proficiency with data management platforms, SQL, Python, and analytics tools like Tableau or Power BI is essential, and certifications in data analytics or project management are often advantageous. Strong problem-solving, communication, and leadership skills help drive cross-functional collaboration and effective data-driven decision-making. These skills enable the Data Optimization Lead to maximize data value, streamline processes, and ensure organizational goals are met efficiently.

What is the difference between Data Optimization Lead vs Data Analyst?

AspectData Optimization LeadData Analyst
Required CredentialsBachelor's degree in Data Science, Analytics, or related field; experience with data toolsBachelor's degree in Statistics, Mathematics, or related field; proficiency in data analysis tools
Work EnvironmentLeads data optimization projects, collaborates with data teams, focuses on improving data processesAnalyzes data sets, generates reports, supports decision-making through data insights
Employer & Industry UsageUsed in tech, finance, and e-commerce sectors focusing on data efficiencyCommon across various industries for data reporting and analysis

The Data Optimization Lead primarily focuses on enhancing data processes and strategies to improve overall data quality and efficiency, often leading teams and projects. In contrast, a Data Analyst concentrates on analyzing data sets to generate insights and reports. While both roles require strong analytical skills and familiarity with data tools, the Lead role emphasizes leadership and process improvement, whereas the Analyst role centers on data interpretation and reporting.

What states have the most Data Optimization Lead jobs?

States with the most job openings for Data Optimization Lead jobs include:

What are popular job titles related to Data Optimization Lead jobs?

For Data Optimization Lead jobs, the most frequently searched job titles are:

Infographic showing various Data Optimization Lead job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $132,607 per year, or $63.8 per hour.

Data Platform Marketing Manager - SELECT by DoiT

Remote

DoiT
Plastics Packaging Film and Sheet (including Laminated) Manufacturing • 51 - 200 employees

Full-time

Medical, PTO

Re-posted 11 days ago


Job description

Location
Our Data Platform Marketing Manager - SELECT by DoiT, will be an integral part of our global Marketing team. This role is based remotely on the East Coast of the US, in the Central US, or in Canada.

Who We Are
DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production. 

Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.

With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide. 

The Opportunity
The Data Platform Marketing Manager - SELECT by DoiT, reporting to VP, Global Marketing, is the strategic marketing leader responsible for driving growth, pipeline, and market positioning for DoiT's data lake and Snowflake optimization business.

This role is not simply a coordinator of campaigns. It is the centralized marketing owner of the business unit's go-to-market strategy.

You will partner directly with the Business Unit Head of Sales, Product leadership, and Marketing functional heads to define priorities, sharpen ICP focus, shape economic messaging, and orchestrate integrated programs that position SELECT and data workload optimization as mission-critical for modern cloud and data teams.

This role sits at the intersection of:

  • Snowflake & Databricks optimization
  • Data lake cost governance
  • Performance and cost efficiency for enterprise data workloads

You are accountable for turning strategy into measurable revenue impact.

Read more about SELECT.

Responsibilities

1. Business Unit GTM Strategy & Centralization

  • Serve as the primary marketing lead for the SELECT / Data Platform business unit
  • Translate revenue targets and expansion goals into a unified quarterly marketing strategy
  • Define ICP segmentation across Snowflake customers, enterprise data teams, and cloud data platform operators
  • Centralize campaign prioritization across Growth, Content, BDR/MDR, and Creative
  • Ensure SELECT positioning is clearly differentiated in the data optimization market

You are responsible for ensuring the business unit has focus, clarity, and a defined market story.

2. Integrated Campaign Strategy & Execution

Lead and direct cross-functional execution across:

Growth and Digital

  • Paid search around Snowflake optimization
  • LinkedIn targeting for data engineering and FinOps leaders
  • Retargeting strategies tied to data workload interest
  • SDR campaign enablement and follow-up strategy

Content

  • Data platform optimization guides
  • Data lake cost efficiency playbooks
  • Case studies showing measurable cost reduction outcomes
  • Economic value narratives tied to cost savings

Creative

  • Campaign themes for data optimization
  • Visual positioning aligned to enterprise data workloads

Develop and manage strategic campaign briefs that align messaging, audience, and economic value.

3. Data Workload Demand Generation

Own the strategy and execution of programs that drive awareness and pipeline within the data ecosystem:

  • Data Platform digital campaigns
  • Data platform optimization webinars
  • Executive roundtables for data and FinOps leaders
  • Campaign landing pages tied to measurable cost outcomes
  • Content programs built around "data platform optimization"

Drive performance against:

  • Marketing sourced pipeline
  • Customer expansion
  • Cost per qualified meeting
  • Pipeline velocity

4. Webinar & Thought Leadership Strategy

Move beyond one-off webinars and build a repeatable data workload narrative:

  • Develop quarterly thought leadership themes around data efficiency
  • Position SELECT as the intelligent optimization layer for Snowflake and additional data platforms
  • Align with Product and BU Sales to highlight roadmap and innovation
  • Ensure conversion from registrant to opportunity is structured and measurable

5. Performance & Revenue Accountability

Partner with Content, Growth, Sales, and RevOps to create visibility into:

  • Cost per lead and cost per meeting
  • Conversion to opportunity
  • Pipeline contributionInfluenced revenue
  • Continuously refine programs based on performance data and economic outcomes.

This role thinks in revenue impact, not campaign volume.

What Success Looks Like

  • A clearly articulated quarterly GTM strategy for SELECT 
  • Centralized prioritization of marketing initiatives aligned to revenue
  • Measurable growth in Snowflake-focused pipeline
  • Clear differentiation in the data optimization market
  • Strong alignment with BU Sales and Product leadership
  • Demonstrated contribution to expansion and net new pipeline

Qualifications

  • 3 to 5 years in B2B marketing, demand generation, or product marketing
  • Experience marketing to data engineering, data platform, or FinOps audiences
  • Familiarity with Snowflake, data lakes, or cloud data workloads
  • Strong strategic planning capability combined with hands-on execution
  • Demonstrated success driving pipeline growth in a technical B2B environment
  • Experience partnering closely with sales leadership

Ideal Profile

  • Thinks in terms of revenue, expansion, and economic value
  • Understands enterprise data teams and cloud cost pressures
  • Comfortable owning a business unit narrative
  • Can centralize and prioritize across competing marketing inputs
  • Moves fluidly between strategy and execution
  • Data-driven and outcome-oriented

Are you a Do'er?
Be your truest self. Work on your terms. Make a difference. 

We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.  

What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values. 

Sounds too good to be true? Check out our Glassdoor Page.

We thought so too, but we're here and happy we hit that 'apply' button. 

Full-time employee benefits include:

  • Unlimited Vacation
  • Flexible Working Options
  • Health Insurance
  • Parental Leave
  • Employee Stock Option Plan
  • Home Office Allowance
  • Professional Development Stipend 
  • Peer Recognition Program

Many Do'ers, One Team
DoiT unites as Many Do'ers, One Team, where diversity is more than a goal-it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.

#LI-Remote


Do-It logo

About Do-It

Sourced by ZipRecruiter

Industry

Plastics packaging film and sheet (including laminated) manufacturing

Company size

51 - 200 Employees

Headquarters location

South Haven, MI, US

Year founded

1973

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