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Manager Implementation Science Jobs in Fairfield, CA

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... of end-to-end implementation. * TV Media Industry or Ad Tech experience a plus Benefits:

Data Science Manager

San Francisco, CA · On-site

$160K - $220K/yr

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... of end-to-end implementation. * TV Media Industry or Ad Tech experience a plus Benefits:

We're looking for a Data Science Manager to lead our growing AI product data science function. This ... of end-to-end implementation. * TV Media Industry or Ad Tech experience a plus Benefits:

General Urologist

San Francisco, CA · On-site

$154K - $405K/yr

The urologist's primary focus is on the evaluation and management of common urologic conditions ... implementation science related to the clinical activities described above. The Department was ...

... implement and democratize new statistical methods, build data frameworks, and incorporate data ... This team contributes to the company's goals by collaborating closely with product managers ...

... implement and democratize new statistical methods, build data frameworks, and incorporate data ... Lead, support, and grow a team of data scientists and data science managers with varied strengths ...

... implement and democratize new statistical methods, build data frameworks, and incorporate data ... Lead, support, and grow a team of data scientists and data science managers with varied strengths ...

Support design and implementation of scientific programs with external experts and Global Medical ... Maintain KOL/HCP plans and update medical customer relationship management system in a timely ...

Support design and implementation of scientific programs with external experts and Global Medical ... Maintain KOL/HCP plans and update medical customer relationship management system in a timely ...

Showing results 21-40

Manager Implementation Science information

See Fairfield, CA salary details

$39.7K

$105.3K

$171K

How much do manager implementation science jobs pay per year?

As of Aug 19, 2026, the average yearly pay for manager implementation science in Fairfield, CA is $105,350.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,800.00 and $123,100.00 per year, depending on experience, location, and employer.

What is a Manager Implementation Science?

A Manager Implementation Science is a professional who leads and coordinates projects that translate scientific research into practical applications, particularly in healthcare, public health, or organizational settings. Their role involves overseeing teams, designing strategies to implement evidence-based practices, evaluating outcomes, and ensuring interventions are effectively integrated into real-world environments. They often bridge the gap between research and practice by collaborating with stakeholders, analyzing data, and promoting continuous improvement. This position requires strong leadership skills, expertise in implementation science methodologies, and experience in project management.

What are the key skills and qualifications needed to thrive as a Manager Implementation Science?

To thrive as a Manager Implementation Science, you need advanced knowledge in implementation science methodologies, research design, and project management, typically supported by a master's or doctoral degree in public health, healthcare, or a related field. Familiarity with data analysis software (e.g., SPSS, R), evidence-based practice frameworks, and experience with grant writing or regulatory requirements is often required. Strong leadership, communication, and stakeholder engagement skills help drive adoption of research findings across interdisciplinary teams. These skills ensure effective translation of evidence into practice, improving organizational outcomes and advancing public health initiatives.

What are some common challenges faced by a Manager Implementation Science when leading cross-functional teams?

As a Manager Implementation Science, you may encounter challenges such as aligning diverse stakeholders with varying priorities, translating complex research findings into actionable strategies, and ensuring consistent communication across departments. Successfully navigating these challenges often requires strong project management skills, the ability to foster collaboration, and a talent for bridging the gap between research and practice. Building trust and clarity among team members is key to effective implementation and achieving organizational goals.

What is the difference between Manager Implementation Science vs Implementation Specialist?

AspectManager Implementation ScienceImplementation Specialist
Required CredentialsBachelor's or Master's in Public Health, Healthcare, or related field; experience in implementation scienceBachelor's degree; experience in healthcare or program implementation
Work EnvironmentOversees teams, develops strategies, manages projects in healthcare or research settingsSupports implementation activities, conducts training, assists in project execution
Employer & Industry UsageHealthcare organizations, research institutions, public health agenciesHealthcare providers, public health programs, community organizations

The Manager Implementation Science typically has a broader leadership role, overseeing implementation projects and teams, while the Implementation Specialist focuses on supporting and executing specific implementation activities. Both roles require relevant experience, but the manager often has more strategic responsibilities and higher qualifications.

What are popular job titles related to Manager Implementation Science jobs in Fairfield, CA?

For Manager Implementation Science jobs in Fairfield, CA, the most frequently searched job titles are:

What job categories do people searching Manager Implementation Science jobs in Fairfield, CA look for?

The top searched job categories for Manager Implementation Science jobs in Fairfield, CA are:

What cities near Fairfield, CA are hiring for Manager Implementation Science jobs?

Cities near Fairfield, CA with the most Manager Implementation Science job openings:

Infographic showing various Manager Implementation Science job openings in Fairfield, CA as of August 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $105,350 per year, or $50.6 per hour.

Data Science Manager

Tatari

San Francisco, CA • On-site

$160K - $220K/yr

Full-time

Medical, Retirement, PTO

Re-posted 19 days ago


Job description

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world's fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.
That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.
We're looking for a Data Science Manager to lead our growing AI product data science function. This is a foundational role focused on building and managing a small team of data scientists working on customer-facing features powered by machine learning and LLMs. You'll partner closely with Product, Engineering, and Platform teams to deliver fast-moving experiments, shape the roadmap for AI innovation, and lay the foundation for scalable, production-ready AI systems. While this is not an individual contributor (IC) role, we're looking for someone with the technical depth to meaningfully collaborate on modeling and system design, and the management experience to lead a team through execution. You'll play a central role in shaping how AI shows up in our product and how the team behind it grows.
Responsibilities:
  • Manage and grow a team of data scientists focused on AI/ML product development
  • Facilitate the team's design of algorithms and models to innovate, research, and deliver on product features that drive and expand our business opportunities
  • Empower the team to innovate and explore new methodologies and improve upon existing algorithms
  • Actively develop strong working relationships across Product, Engineering, and Infrastructure teams to foster alignment, drive shared decision-making, and accelerate delivery of AI-powered features
  • Collaborate with partner teams to define scope, translate product requirements into technical approaches, and ensure successful delivery
  • Own Data Science prioritization for AI/ML outcomes, allocate resources and manage workload
  • Drive execution of AI/ML projects by tracking progress, aligning timelines with stakeholders, and ensuring timely, high-quality delivery
  • Assess and mitigate risks to delivery, owning accountability for downstream business impacts
  • Promote high-quality experimentation, modeling, and evaluation standards, with an emphasis on reliability and product value
  • Develop lightweight but effective team processes to support fast iteration and scalable AI delivery
  • Conduct performance reviews, coach team members, and support career growth planning for direct reports
  • Contribute to hiring and onboarding efforts for the team

Qualifications:
  • Master's degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics, Physics, Data Science, etc.)
  • Minimum 2 years of management experience, plus minimum of 6 years of experience in a Data Science role, or a related role in a technology environment
  • Strong strategic thinking and project management skills, including priority and dependency management across several large projects with multiple stakeholders
  • Strong organizational and leadership skills, able to exercise judgment to make tradeoffs through cost-benefit analysis
  • Ability to translate complex concepts to both technical and non-technical stakeholders and drive alignment across Product, Engineering, and Data Science
  • Proven ability to lead through ambiguity and move from 0→1 with new features or systems
  • Advanced knowledge of statistics and probability, particularly their application in model development
  • Intermediate to advanced experience in Data Manipulation Software (e.g. SQL, Python), cloud computing environments (e.g., AWS), and ML workflows or toolkits
  • Nice to have:
    • PhD in a technical field
    • Demonstrated experience in leading AI work, ideally including work with LLMs, embeddings, or ranking/recommender systems - with a successful track record of end-to-end implementation.
    • TV Media Industry or Ad Tech experience a plus

Benefits:
  • Competitive salary ($160,000 - $220,000/annually)
  • Equity compensation
  • Health insurance coverage for you and your dependents
  • 401K, FSA, and commuter benefits
  • $150 monthly spending account
  • $1,000 annual continued education benefit
  • $500 WFH reimbursement
  • Unlimited PTO and sick days
  • Monthly Company Wellness Day Off
  • Snacks, drinks, and catered lunches at the office
  • Team building events
  • Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.
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