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Optimization Manager Jobs in Pennsylvania (NOW HIRING)

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Optimization Manager information

See Pennsylvania salary details

$33.6K

$106.9K

$181.4K

How much do optimization manager jobs pay per year?

As of Sep 6, 2026, the average yearly pay for optimization manager in Pennsylvania is $106,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,200.00 and $132,800.00 per year, depending on experience, location, and employer.

What is an optimization manager?

An Optimization Manager is a professional responsible for improving business processes, systems, or marketing campaigns to achieve better efficiency, performance, and results. They analyze data to identify areas for improvement, develop strategies to enhance productivity, and oversee the implementation of these strategies. Optimization Managers often work with cross-functional teams to ensure that initiatives align with company goals and deliver measurable outcomes.

What are the key skills and qualifications needed to thrive as an optimization manager?

To thrive as an Optimization Manager, you need strong analytical skills, experience in data-driven decision-making, and typically a degree in business, marketing, or a related field. Proficiency with analytics tools like Google Analytics, A/B testing platforms, and conversion rate optimization (CRO) software is essential. Excellent communication, problem-solving abilities, and a collaborative mindset are important soft skills for this role. These skills ensure effective identification and implementation of strategies to maximize performance and drive measurable business results.

How does an optimization manager typically interact with different departments to drive performance improvements?

Optimization Managers work closely with various teams such as marketing, product development, data analytics, and operations to identify and implement strategies that enhance efficiency and effectiveness. They often facilitate cross-functional meetings to discuss data insights, align on goals, and coordinate the execution of optimization initiatives. Collaboration is key, as these managers must balance diverse perspectives and ensure that proposed changes are practical and aligned with broader business objectives. Regular communication and strong project management skills are essential for successfully driving improvements across multiple departments.

What is the difference between Optimization Manager vs Digital Marketing Specialist?

AspectOptimization ManagerDigital Marketing Specialist
Required CredentialsBachelor's in Marketing, Business, or related field; certifications in SEO, SEM, or analyticsBachelor's in Marketing, Communications, or related field; certifications in digital marketing tools
Work EnvironmentCollaborates with marketing, product, and analytics teams; focuses on website and campaign performanceWorks on content creation, social media, email campaigns, and digital channels
Employer & Industry UsageUsed across e-commerce, tech, and advertising industries to improve online performanceCommon in marketing agencies, brands, and media companies for campaign execution

The Optimization Manager primarily focuses on analyzing and improving website and campaign performance through data-driven strategies, often working closely with technical teams. In contrast, the Digital Marketing Specialist handles the execution of digital campaigns, content creation, and social media management. While both roles require marketing knowledge and certifications, the Optimization Manager emphasizes analytics and technical optimization, whereas the Digital Marketing Specialist concentrates on content and channel management.

What are the most commonly searched types of Optimization jobs in Pennsylvania?

The most popular types of Optimization jobs in Pennsylvania are:

What are popular job titles related to Optimization Manager jobs in Pennsylvania?

For Optimization Manager jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Optimization Manager jobs in Pennsylvania look for?

The top searched job categories for Optimization Manager jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Optimization Manager jobs?

Cities in Pennsylvania with the most Optimization Manager job openings:

Infographic showing various Optimization Manager job openings in Pennsylvania as of August 2026, with employment types broken down into 82% Full Time, 17% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $106,895 per year, or $51.4 per hour.

Optimization Research Scientist

Vanguard Group, Inc.

Malvern, PA • On-site

Full-time

Posted 26 days ago


Vanguard rating

8.7

Company rating: 8.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

16th of 154 rated financial services


Job description

Core Responsibilities
  • Partner directly with senior business and investment stakeholders to uncover high-value opportunities, develop + iteratively refine hypotheses, and translate ambiguous questions into structured research problems.
  • Formulate complex business and investment challenges as optimization problems, defining objectives, constraints, tradeoffs, decision variables, and measurable success criteria.
  • Build and evaluate quantitative, statistical, machine learning, simulation, and optimization frameworks that support practical decision-making in real-world investment settings.
  • Work with incomplete, noisy, fragmented, or evolving data to create usable research datasets, document assumptions, and assess the implications of data limitations.
  • Design rigorous evaluation approaches, including out-of-sample testing, simulation, backtesting, sensitivity analysis, robustness testing, and constraint validation.
  • Iterate closely with stakeholders, researchers, data scientists, and engineering partners to refine hypotheses, improve frameworks, and move promising research toward scalable implementation.
  • Communicate findings, tradeoffs, assumptions, and recommendations clearly to business leaders, with a focus on decision impact and actionable next steps.

Qualifications:
  • Experience in applied research, quantitative modeling, optimization, and machine learning, with the ability to independently drive ambiguous research efforts from problem discovery through recommendation.
  • Strong ability to partner directly with senior business stakeholders to uncover high-value opportunities, develop hypotheses, and translate loosely defined questions into rigorous analytical or optimization approaches.
  • Experience formulating complex business or investment problems in terms of objectives, constraints, tradeoffs, decision variables, and measurable outcomes.
  • Strong experience building optimization models to support decision-making in real-world settings, experience with statistical, machine learning, and deep learning is a plus.
  • Comfort working with incomplete, noisy, fragmented, or evolving data, including the ability to make pragmatic assumptions, document limitations, and keep research moving despite imperfect inputs.
  • Experience designing and interpreting evaluation frameworks using out-of-sample testing, simulation, backtesting, sensitivity analysis, or robustness analysis.
  • Proficiency in Python and comfort working in development environments such as SageMaker, Databricks, or similar platforms; familiarity with optimization libraries, solvers, or computational decision frameworks is valuable.
  • Experience with quantitative finance, systematic workflows, or investment management problems is preferred; participation in the CFA program or related financial education is valuable.

Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

What Vanguard employees say

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