Director, Data Engineering & Analytics Job at Arcadia (Washington, DC)

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...

Location

United States , Brooklyn

Salary:

Not provided

Premium Health

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
healthcare experience preferred
Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
Understanding of healthcare data, including clinical, operational, and financial data models, preferred
Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)

Job Responsibility

Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
Implement robust data quality processes, validation, monitoring, and error-handling frameworks
Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications

What we offer

Paid Time Off, Medical, Dental and Vision plans, Retirement plans
Public Service Loan Forgiveness (PSLF)

Fulltime

Senior Director - Data Engineering & Machine Learning

Lead the Data Revolution at Modus Create. At Modus Create, we empower the world’...

Location

Canada

Salary:

Not provided

Modus Create

Expiration Date

Until further notice

Requirements

15+ years in data or software engineering roles
7+ years leading Data Engineering/ML teams—ideally at scale or in global consulting contexts
Hands-on experience with cloud data platforms, big data toolchains (Spark, Kafka), data transformation tools (Airflow, dbt), and ML platforms
Success in pre-sales, solutioning, and growing data/ML engagements within enterprise or mid-market accounts
Demonstrated ability to create enablement programs, uplift team capabilities, and grow inclusive, high-performing engineering cultures
Deep empathy for client pain points and the ability to craft and deliver impactful, measurable solutions
Excellent across technical, executive, and cross-functional settings, with an ability to successfully navigate diverse cultural differences

Job Responsibility

Build Modern Data Platforms
Design and oversee architecture for cloud-native data platforms, pipelines, and streaming systems on AWS, Azure, or GCP
Ensure robust solutions using platforms such as Databricks, Snowflake, Redshift, BigQuery, Spark, Kafka, Airflow, dbt, and Kubernetes
Deliver Products that are Intelligent
Define and drive responsible ML strategy, from model development to integration, using platforms like SageMaker, Azure ML, or TensorFlow
Enable smarter client experiences by embedding ML into applications, automation, and analytics
Lead & Grow Teams
Foster a culture of trust, continuous learning, and experimentation by hiring, mentoring, and empowering distributed teams of data and ML engineers
Define career paths, feedback frameworks, and learning programs grounded in a culture of experimentation,continuous growth, and a sense of belonging at every level
Shape Technical Strategy & Best Practices

What we offer

Remote work with flexible working hours
Modus Global Office Programme:for when you want to get out of your home, we offer on-demand access to private offices, meeting rooms, coworking spaces and business lounges in locations in over 120 countries
Employee Referral Program
Client Referral Program
Travel according to client or team needs
The chance to work side-by-side with thought leaders in emerging tech
Access to more than 12,000 courses with a licensed Coursera account
Possibility to obtain paid certification/courses if they align with company goals and are relevant to the employee's role

Fulltime

It Director – Data Programs

We are seeking a dedicated IT Director (Data Programs) with at least a PhD or ma...

Location

United States , Metairie

Salary:

Not provided

BOLLINGER MISSISSIPPI SHIPBUILDING LLC

Expiration Date

Until further notice

Requirements

Minimum PhD or master’s degree in data sciences, Computer Science, or Mathematics
10–15+ years of progressive experience in data management, analytics, or leadership
Strong knowledge of data governance, metadata management, and MDM
Hands-on experience with cloud data platforms (Azure, AWS, or Google Cloud)
Understanding of IoT, digital twins, and Industry 4.0 technologies
Excellent communication, change management, and cross-functional leadership skills
Strategic thinking and business acumen
Relationship and stakeholder management
Enterprise systems expertise
Change leadership and communication

Job Responsibility

Develop and execute a comprehensive enterprise data strategy aligned with business, IT, and engineering goals
Establish and oversee data governance frameworks, policies, and standards for quality, ownership, and compliance
Champion a data-driven culture, enabling leaders and engineers to make informed decisions based on reliable insights
Define and manage the company’s data architecture roadmap—including integration with ERP, PLM, MES, and CAD systems
Oversee data architecture design across ship design systems, IoT/SCADA, and production operations
Manage data lifecycle processes—collection, storage, cleansing, classification, and archival
Implement data lakes, data warehouses, and cloud-based analytics platforms for enterprise use
Ensure interoperability between engineering data (3D modeling, CAD/BIM), production data, and financial systems
Lead the data analytics and AI initiatives supporting predictive maintenance, supply chain optimization, and performance analytics
Oversee development of dashboards, KPIs, and data visualization tools for executives and project managers

What we offer

Competitive Pay
Comprehensive Benefits Package
Hybrid Schedule Available
Career Development
Cutting-Edge Projects
Positive Work Environment & Company Values

Director, Product Analytics

This is a high-impact, hands-on role where you will be the analytical cornerston...

Location

United Kingdom , Manchester

Salary:

102000.00 - 153000.00 GBP / Year

Matillion

Expiration Date

Until further notice

Requirements

Significant experience in Product Analytics or Data Science with a proven track record of driving quantifiable business impact
Deep expertise in statistical analysis, experimentation, and advanced analytics techniques
The ability to analyse massive datasets from product telemetry (event streams, logs) and testing
Excellent communication and executive presentation skills, mastering data visualisation and storytelling
An expert with strong product instincts, able to take a loose analytical brief and execute autonomously

Job Responsibility

Drive quantifiable business impact by measuring, understanding, and optimising the usage and adoption of our SaaS products, Data Productivity Cloud and Maia
Be the primary analytical expert, applying deep statistical analysis, experimentation, and advanced techniques to large product telemetry datasets
Drive Product-Led Growth success by translating data insights into actions that directly influence key product metrics and adoption motions
Be the data storyteller, creating executive-ready insights through high-quality visualisations, presentations, and compelling narratives
Act as a Player-Coach, maintaining a primary hands-on contribution while mentoring and guiding a small team of junior analysts/data engineers

What we offer

Company Equity
30 days holiday + bank holidays
5 days paid volunteering leave
Health insurance
Life Insurance
Pension
Access to mental health support

Fulltime

Director, Data Operations

As the Director of Data Operations, you will lead a high-performing team of Tech...

Location

United States , New York; Oakland

Salary:

177000.00 - 234000.00 USD / Year

SiriusXM

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field
10+ years relevant experience in data operations, data engineering or systems architecture
5+ years of people leadership, with a track record of building, coaching, and scaling high-performing teams in data or platform environments
Strong command of the modern data stack, including Snowflake, dbt, Git, orchestration tools, and semantic layer platforms
Proven leadership experience managing cross-functional analytics teams in an enterprise environment
Deep understanding of dimensional modeling, metric standardization, and semantic architecture design
Excellent written and verbal communication skills, with a passion for making data accessible and actionable
Must have legal right to work in the U.S.

Job Responsibility

Manage a team of senior and mid-level data operations analysts, providing technical guidance, mentorship, and performance management
Contribute to talent growth and team development, recruiting and mentoring future data operations and analytics professionals
Align technical execution with the product roadmap and vision, ensuring KPI metrics and requirements are well-defined and actionable
Work across a wide range of enterprise data tools and platforms, leveraging transformation technologies like DBT and visualization tools such as Looker and Tableau
Oversee implementation and scaling of the semantic layer platform, working cross-functionally to deliver trusted and accessible data assets
Partner with data engineering, product, and analytic teams to ensure solution designs meet evolving business needs and technical scalability
Prioritize team workload across projects, balancing tactical delivery with long-term systems and data platform evolution
Establish and enforce technical best practices around dbt, testing frameworks, CI/CD, and Git workflows
Review and guide the development of data pipeline requirement documentation, process models, and architectural recommendations
Manage and analyze large-scale data volumes (1+ PB) across complex ecosystems that power streaming, podcasting, satellite, publisher, and advertiser use cases

What we offer

discretionary short-term and long-term incentives

Fulltime

Associate Director, Data Strategy

We’re looking for an Associate Director of Data Strategy to join our fast-growin...

Location

United States

Salary:

120000.00 - 135000.00 USD / Year

Wpromote

Expiration Date

Until further notice

Requirements

6+ years experience working in digital media and marketing environment
6+ years experience working with media data
Strong client-facing experience at a digital media or performance marketing agency or similar environment
Experience or familiarity with statistical concepts
Experience or familiarity with marketing analytics including Media Mix Modeling, Multi-Touch Attribution, and Incrementality Testing
Ability to collaborate with technical teams to define requirements for building data models and analytics for digital marketing by defining all the relevant KPIs and data sources, finding the best path for piping all relevant data into a database, and defining business rules for output in visualizations and advanced analysis
Strong proficiency in Excel, Google Sheets, and Google Slides
Excellent verbal communication skills, with the ability to understand the technical detail behind data utilization for digital marketing and the ability to explain it simply to non-technical audiences
Excellent project management skills, with the ability to work efficiently across multiple teams, clients, and timelines simultaneously
Experience with Customer Data Platforms such as Tealium or Segment

Job Responsibility

Serve as a thought leader on marketing measurement strategy, helping clients understand and operationalize advanced analytics solutions
Lead cross-functional strategic engagements across MMM, incrementality testing, causal impact analysis, and holistic measurement frameworks
Translate complex statistical concepts into actionable insights, recommendations, and value add for non-technical stakeholders
Design and oversee robust measurement frameworks that span multiple solutions (MMM, MTA, lift tests, attribution, etc.)
Partner with internal teams (data science, media, strategy, client success, Analytics Engineering, etc.) to ensure alignment between analytical rigor and marketing objectives
Work closely with paid media buyers to support analysis of performance measurement and utilize measurement solutions to define methods for optimizing campaign outcomes
Run weekly project management sprint sessions with cross-functional technical teams on dedicated clients as needs emerge or evolve, seeing tasks through to completion efficiently to improve the overall cycle time on task completion
Directly communicate with clients and internal stakeholders on data needs within your portfolio or tasks coming from the support queue
Partner with Data Strategy & Analytics leadership to design processes to efficiently deliver cohesive Data Strategy & Analytics services across technical teams to clients and internal stakeholders
Identify new measurement needs for our clients and work with cross-departmental teams to develop new solutions that can be delivered to clients at scale

What we offer

Remote-first culture
Unlimited PTO
Extended Holiday break (Winter)
Flexible schedules
Work from anywhere options*
100% paid parental leave
401(k) matching
Medical, Dental, Vision, Life, Pet Insurance
Sponsored life insurance
Short Term Disability insurance and additional voluntary insurance

Fulltime

Director, Sales Engineering

Wpromote is seeking a highly skilled and hands-on Sales Engineering Leader to bu...

Location

United States

Salary:

135000.00 - 155000.00 USD / Year

Wpromote

Expiration Date

Until further notice

Requirements

7+ years of experience in technical sales, sales engineering, or solutions consulting — ideally within media, ad tech, data analytics, or marketing technology environments
Leadership experience, with demonstrated ability to mentor others and build and manage a high-performing team
Experience supporting sales teams in translating client requirements into measurable technical solutions and business outcomes
Proven ability to create and deliver technical demonstrations that are accessible to non-technical audiences
Exceptional communication, presentation, and facilitation skills with the ability to simplify complex ideas for diverse stakeholders
Experience collaborating cross-functionally with product, client service, and operations teams to ensure accurate solution design and delivery alignment
Ability to manage multiple priorities and projects in a fast-paced, evolving environment with strong organizational discipline
Bachelor’s degree in Engineering, Business, Marketing, or a related field

Job Responsibility

Building and owning Wpromote’s sales engineering function, starting as a hands-on individual contributor and evolving into a leadership role as the function scales
Partnering with sales reps to deliver technical demos, data audits, and solution presentations that clearly articulate Wpromote’s value and capabilities
Translating business requirements into measurable capabilities, helping sales teams identify, quantify, and validate client outcomes through Command of the Message methodology
Serving as the bridge between Sales, Product, RevOps, and Client Services to ensure alignment on solutions architecture and delivery feasibility
Conducting data audits and discovery analyses that connect client challenges to Wpromote’s data tools and analytics frameworks
Developing technical documentation, frameworks, and sales enablement materials to support consistent value communication across sales cycles
Partnering with the Product and Data teams to surface client feedback and inform platform improvements and roadmap priorities
Training and mentoring sales reps on technical discovery and consultative solution design to elevate team capability and confidence
Creating scalable templates and repeatable playbooks for sales engineering processes to ensure consistent execution as the function grows
Representing Wpromote in client meetings, industry events, and thought leadership forums as a technical and strategic authority

What we offer

Remote-first culture
Unlimited PTO
Extended Holiday break (Winter)
Flexible schedules
Work from anywhere options*
100% paid parental leave
401(k) matching
Medical, Dental, Vision, Life, Pet Insurance
Sponsored life insurance
Short Term Disability insurance and additional voluntary insurance

Fulltime

Director, Data Science

Imagine being the Director, Data Science at Clio, the legal software company tha...

Location

United States

Salary:

240700.00 - 360900.00 USD / Year

Clio

Expiration Date

Until further notice

Requirements

Graduate degree in Computer Science, Engineering, Statistics or a related field
10+ years extensive experience building and scaling a data science function in a high-growth environment
10+ years extensive experience managing data, analytics, and engineering teams with 10+ direct and indirect reports
15+ years extensive hands-on experience with a wide range of data science and machine learning techniques, including classification, regression, time series forecasting, natural language processing, and unsupervised learning
Experience reporting and presenting to senior business stakeholders
Experience leading go-to-market initiatives and partnering with product development teams
Experience with putting data science solutions in production and maintaining them
Strong storytelling skills with the ability to coach and teach best practices, and to explain technical analyses to non-technical audiences
Growth mindset when it comes to process improvement and new technologies, especially AI

Job Responsibility

Define and implement Clio’s data science strategy that aligns with Clio’s business objectives, including revenue growth, customer retention, and operational efficiency
Establish an impact-driven prioritization framework and a comprehensive data science roadmap, with clear business cases for all initiatives
Lead, manage, mentor, and grow a team of data scientists, and establish clear technical and professional development plans
Foster strong collaboration across the Data & Analytics org, including with data modeling, business intelligence, data engineering, and operations analytics teams
Partner with product teams to embed predictive and prescriptive analytics to improve customer experience and product adoption
Be an active participant and contributor on the Business Operations Leadership Team and Extended Leadership Team (comprised of senior leaders Director+)
Expand existing data science models to analyze customer behavior and predict their needs, interest, and readiness, and enable go to market teams to tailor their strategies
Deploy machine learning models in production, ensuring scalability, reliability, and continuous monitoring of their performance
Keep up-to-date with the latest developments in AI, and establish Clio as a thought leader in reusable data and analytics solutions, actively implementing and contributing to industry best practices
Serve as a strategic voice and partner for senior leaders and executives, including educating the business on best practices and path to implement repeatable analytics and reporting

What we offer

Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin and Sydney) to be in office minimum twice per week
Flexible time off policy, with an encouraged 20 days off per year
EAP benefits for you and household members, including counseling and online resources
401k matching and Child Education Savings
Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

Fulltime

Director, Data Engineering & Analytics

Arcadia

Location:
United States , Washington, DC

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 06, 2025

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Job Posted:December 06, 2025

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December 06, 2025