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Director Implementation Science Jobs in Maryland

State of Maryland

DIRECTOR, LIFE SCIENCES

Annapolis, MD · On-site

$120K - $190K/yr

... of Director, Office of Life Sciences (OLS) within the Office of Strategic Industries in the ... implement the office's budget and strategic goals/plans; plan internal and external program ...

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Pwc

Oracle Cloud CPQ Implementation Director

Baltimore, MD · On-site

$155K - $410K/yr

... Implementation Director, you will lead the charge in optimizing operational efficiency for our ... Science - Demonstrating proficiency in Oracle Configure, Price, Quote (CPQ) Cloud - Utilizing ...

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Director Implementation Science information

What is a director of implementation science?

A Director of Implementation Science is a senior leader responsible for overseeing the application of evidence-based practices and research findings into real-world settings, particularly within healthcare, public health, or social services organizations. They design, manage, and evaluate programs to ensure research innovations are effectively and sustainably integrated into practice. This role involves coordinating multidisciplinary teams, securing funding, and measuring the impact of interventions to improve outcomes. Directors of Implementation Science also contribute to the strategic direction of their organizations by promoting best practices and continuous improvement.

What are some common challenges faced by a director of implementation science when integrating research findings into healthcare practice?

A Director of Implementation Science often encounters challenges such as bridging the gap between evidence-based research and real-world clinical workflows, managing stakeholder expectations, and ensuring consistent adoption across diverse teams. Successfully integrating new practices requires strong collaboration with clinicians, administrators, and data analysts, as well as the ability to navigate organizational resistance to change. Additionally, measuring and demonstrating the impact of implementation efforts can be complex, but it is crucial for driving ongoing support and funding.

What are the key skills and qualifications needed to thrive as a director of implementation science, and why are they important?

To thrive as a Director of Implementation Science, you need advanced expertise in implementation research, program evaluation, and evidence-based practice, typically supported by a doctoral degree in a related field. Familiarity with data analysis software, project management tools, and frameworks like CFIR or RE-AIM is essential. Strong leadership, strategic thinking, and stakeholder engagement skills distinguish top performers in this role. These competencies ensure effective translation of research into practice, successful program adoption, and measurable impact on health outcomes.

What is the difference between Director Implementation Science vs Implementation Scientist?

AspectDirector Implementation ScienceImplementation Scientist
CredentialsMaster's or PhD in public health, healthcare, or related field; experience in leadership rolesMaster's or PhD in public health, health services research, or related field; specialized training in implementation science
Work EnvironmentOversees teams, manages projects, develops strategies within healthcare or research organizationsConducts research, analyzes data, supports implementation efforts within healthcare settings
Employer & IndustryHospitals, healthcare systems, research institutionsAcademic institutions, research organizations, healthcare agencies

The main difference is that a Director Implementation Science typically leads and manages implementation projects at an organizational level, while an Implementation Scientist focuses on conducting research and providing expertise on implementation strategies. Both roles require similar educational backgrounds but differ in scope and responsibilities.

What are the most commonly searched types of Implementation Science jobs in Maryland?

The most popular types of Implementation Science jobs in Maryland are:

What are popular job titles related to Director Implementation Science jobs in Maryland?

For Director Implementation Science jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Director Implementation Science jobs in Maryland look for?

The top searched job categories for Director Implementation Science jobs in Maryland are:

What cities in Maryland are hiring for Director Implementation Science jobs?

Cities in Maryland with the most Director Implementation Science job openings:

Director Implementation Science jobs near you
Infographic showing various Director Implementation Science job openings in Maryland as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution.

Director, AI Engineering (Data Science)

Columbia, MD • On-site, Remote

Blend360
IT Services • 201 - 500 employees
Learn more about Blend360external

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 days ago

Job description

Company Description
Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com.
Job Description
We are seeking a visionary and execution-oriented Director of AI Engineering to join our team. In this senior, client facing role, you will own the full lifecycle of AI model development, setting technical strategy and ensuring that cutting-edge machine learning solutions move from concept to production with business impact at their core.
With roots in data science and hands-on expertise in custom transformer architecture, you will bring both the credibility to lead technical teams. You will operate at the intersection of stakeholder management and deep technical execution and you should be equally comfortable presenting to a senior audience and reviewing model architecture with your team.
This is a high-impact, high-autonomyy role with significant organizational influence. You will define the AI roadmap, establish engineering best practices, and champion a culture of rigorous, reproducible, and responsible machine learning.
Strategic Leadership & Team Management
  • Define technical investments with business objectives
  • Mentor, and manage AI/ML engineers, senior data scientists, and MLOps engineers-setting performance expectations and a high-performance culture.
  • Partner with cross-functional leaders to prioritize initiatives, allocate resources, and measure organizational impact.
  • Establish engineering standards, code review practices, and model governance frameworks across the AI org.

Custom Transformer Architecture & Model Development
  • Serve as the technical authority on deep learning architecture-personally leading the design and development of custom transformer models for sequence modeling, customer propensity scoring, audience segmentation, and churn prediction.
  • Drive innovation in attention mechanisms, positional encodings, and tokenization strategies specifically suited to tabular, time-series, and event-stream data common in marketing and telecom.
  • Oversee adaptation and fine-tuning of foundation models (BERT, T5, TabTransformer, LLMs) for proprietary client datasets, ensuring domain-specific performance.
  • Champion reproducible experimentation and architectural decision documentation across the team.

Data Science & Applied Analytics
  • Oversee end-to-end data science workflows: problem framing, feature engineering, model development, validation, and production deployment.
  • Ensure statistical rigor in experimental design, causal inference, A/B testing, and offline/online evaluation frameworks.
  • Guide the team in building robust data pipelines for large-scale structured and unstructured datasets, including clickstream, CRM, ad telemetry, CDRs, and network KPIs.

Client & Executive Engagement
  • Lead technical discovery and solutioning with enterprise clients translating ambiguous business problems into well-scoped AI initiatives.
  • Present AI strategy, model results, and roadmap updates to C-suite and senior client stakeholders with clarity and executive presence.
  • Contribute to business development: support RFP responses, lead technical portions of client proposals, and help grow the AI engineering practice.

MLOps, Infrastructure & Governance
  • Establish production standards for model deployment, monitoring, drift detection, and automated retraining across cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML).
  • Drive adoption of MLOps best practices including CI/CD for ML, containerization (Docker/Kubernetes), and experiment tracking (MLflow, W&B, DVC).
  • Implement model governance, explainability, and responsible AI standards in compliance with client and regulatory requirements.

Qualifications
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a closely related quantitative field; Ph.D. strongly preferred.
  • 10+ years of progressive experience in data science and machine learning, with at least 3-5 years in a people management or technical leadership role (Director, Sr. Manager, or Principal Engineer level).
  • Proven track record of leading high-performing AI/ML engineering teams in a fast-paced, client-facing or product environment.
  • Deep, hands-on expertise designing and training custom transformer architectures from scratch-not only fine-tuning pre-built checkpoints, but architecting novel attention mechanisms, embedding strategies, and model topologies.
  • Strong applied data science foundation: feature engineering, statistical modeling, causal inference, and experimental design across large-scale datasets.
  • Proficiency in Python and core ML/DL libraries: PyTorch (preferred), TensorFlow, HuggingFace Transformers, scikit-learn, XGBoost/LightGBM.
  • Direct experience with industry datasets in marketing & media (DSP/DMP logs, ad impression data, attribution pipelines, MMM) OR telecommunications (CDRs, network KPIs, subscriber behavior, churn datasets).
  • Command of SQL and large-scale data platforms: Spark, BigQuery, Snowflake, or Databricks.
  • Experience owning end-to-end MLOps: cloud deployment (SageMaker, Vertex AI, or Azure ML), monitoring, CI/CD for ML, and model governance.
  • Exceptional executive communication skills-able to translate complex model behavior into business language for C-suite and client audiences.

PREFERRED QUALIFICATIONS
  • Professional services experience across multiple client engagements or business units
  • Background in privacy-preserving ML: federated learning, differential privacy, or synthetic data generation-especially relevant in post-cookie marketing environments.
  • Knowledge of graph neural networks (GNNs) for social graph or network topology analysis in telecom contexts.
  • Published research or conference contributions (NeurIPS, ICML, KDD, RecSys, or industry equivalents) related to applied transformers, tabular deep learning, or domain-specific AI.
  • Experience with real-time inference and streaming ML pipelines (Kafka, Flink, or similar).
  • Demonstrated ability to build strategic partnerships with external clients, contributing to revenue growth or account expansion through technical leadership.
  • Deep experience with openai focused on embeddings
  • Experience building custom transformer models

Additional Information
The starting pay range for this role is $180,000 - $240,000. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.

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