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

Director, Data Engineering & Analytics

We are seeking a Director, Data Engineering & Analytics to be a hands-on, indivi...

Location

United States

Salary:

220000.00 - 235000.00 USD / Year

Apogee Therapeutics

Expiration Date

Until further notice

Requirements

10+ years of experience in data engineering, data platform, or analytics roles, with meaningful experience owning or leading a modern cloud data platform (Data Lakehouse or cloud data warehouse)
Bachelor’s degree (or equivalent professional experience) in Life Sciences, Information Systems, Engineering, or related field
Proven track record as a hands-on senior level individual contributor
Experience with cloud-based data platforms (e.g., Databricks, Snowflake, BigQuery, or similar) and modern data stack components
Strong expertise in data modeling and ETL/ELT for analytics and reporting
Experience working closely with integration teams (ideally with MuleSoft or similar)
Prior experience in biotech / pharma / life sciences is strongly preferred, especially supporting Clinical Development, Clinical Operations, Biometrics, or Medical Monitoring
Familiarity with data from CROs and clinical systems (e.g., EDC, CTMS, safety, lab, statistical outputs)
Experience working in regulated environments (e.g., GxP, 21 CFR Part 11, HIPAA) and supporting audit/inspection readiness is highly desirable
Exposure to Apogee-relevant systems is a plus (e.g., Veeva Vault applications, Egnyte GxP repositories, SAS server, NetSuite)

Job Responsibility

Serve as the primary owner of Apogee’s Data Lakehouse architecture, roadmap, and implementation
Define the data platform to support Clinical Development and Clinical Operations, with a clear path to extend to Technical Operations, Commercial, Medical Affairs, and Finance
Design and oversee data ingestion, transformation, and storage for structured and semi-structured data from key Apogee sources
Establish and maintain subject area data models and semantic layers tailored to clinical and operational use cases
Ensure the platform is designed and operated in alignment with Apogee’s GxP, 21 CFR Part 11, SOX Controls, and other regulatory/compliance expectations
Design, build, and maintain end-to-end data pipelines (ingestion, transformation, curation) into the Data Lakehouse
Develop and maintain data models that serve Clinical Development, Clinical Operations, and later Tech Ops and Commercial / Med Affairs / Finance
Implement data quality, lineage, and metadata practices
Contribute to defining data governance at Apogee
Design and build dashboards / analytic views that support key functional area use cases

What we offer

Market competitive compensation and benefits package, including base salary, performance bonus, equity grant opportunities, health, welfare & retirement benefits
Competitive time off, including three weeks PTO, two one-week company-wide shutdowns a year and dedicated paid sick leave
Commitment to growing you professionally and providing access to resources to further your development
Apogee offers regular all team, in-person meetings to build relationships and problem solve

Fulltime

Director Data and Analytics Engineering

The primary role of the Director of Data and Analytics Engineering within the Gl...

Location

Australia , Sydney

Salary:

Not provided

ResMed

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Data Science, or related fields
Minimum of 12 years of experience in Data and Analytics Engineering, especially in Supply Chain or Finance domains
Experience in technologies like Snowflake, SQL, dbt, and Python is required
Proven ability to work cross-functionally, develop analytics solutions to challenges, and drive the implementation of the solution
Ability to work well through ambiguity, confidence in making tough calls and leading through adversity with a sharp focus on the eventual right outcomes
Excellent communication skills with an ability to translate complex technical concepts into easy-to-understand stories and insights
Strong work ethic, commitment to sweat the details with extreme ownership and end-to-end thinking

Job Responsibility

Implement data pipeline integrations and solutions, incorporating highly scalable cloud computing and large-scale data stores, including data lakes, data warehouses, and data marts
Partner with business leaders to identify and address their data and analytics engineering needs, and data scientists/analysts to determine which data is needed for analysis and provide the required data and analytics engineering solutions
Develop and implement a data governance framework to ensure the accuracy, consistency, and security of data
Focus on the development and implementation of strategic and operational objectives that help achieve the organizational mission. Implements organization strategies through the effective direction and management of employees and resources
Regularly interacts with executives and/or major customers
maintaining relationships with key stakeholders at al levels in the organisation
Interactions frequently involve special skills, such as negotiating with customers or management or attempting to influence senior-level leaders regarding matters of significance to the organization
Provides leadership to managers, supervisors, and/or professional roles
Collaborate with other data, analytics, and technology functions across the organization on analytics engineering solutions, share best practices and insights, and lead the adoption of enterprise analytics technologies

What we offer

Competitive Salary Package
Free Onsite Gym
Employee Stock Purchase Program
Comprehensive Insurance Coverage – Including Life, Total & Permanent Disability (TPD), and Income Protection
Collaborative culture – work with industry-leading experts in a supportive, fast-paced environment
Career growth – thrive in a world-class tech ecosystem with global opportunities

Fulltime

Director, Enterprise Data, Business Analytics & Insights Engineering

The Director, Data & Intelligence will lead the semantic layer and intelligence ...

Location

United States , Bellevue

Salary:

182800.00 - 247300.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Business Administration, Computer Science, Applied Mathematics, or equivalent work or educational experience
10+ years of experience in enterprise data management, with a minimum of 10 years in business intelligence, analytics, and applied insights using advanced methodologies
7-10 years of management experience
7-10 years of experience leveraging data and analytics tools, platforms, and technologies
Worked with data and analytics tools, platforms, and technologies
Demonstrated experience driving enterprise data, analytics, and insights solution in cloud-based environments such as Snowflake, SAP, and Azure
and other technologies such as SAP Business Objects, Tableau, Power BI, R, Python, SQL, etc.
Collaborative with key business stakeholders and Data CoE peers
Ability to collaborate with stakeholders in both business and technology to anticipate, interpret and challenge thinking when appropriate to align organizational goals and resources
Practices clear and succinct verbal and written communication, communicating with confidence and poise

Job Responsibility

Works with business stakeholders to understand current and anticipate future customer and business needs, understand requirements, and define relevant strategic questions to define functional strategy, opportunity, roadmap, and priorities
Effectively partner with Data CoE peer groups to source information needs in alignment with Data CoE best practices
Developing a semantic foundation that makes corporate data understandable to LLMs (Large Language Models) and agentic, AI turning data into actionable insights
Establishing Governance & Consistency: Ensuring metrics are defined once and used consistently across all reporting, BI tools, and AI systems, eliminating conflicting definitions
Translating complex data structures (tables and columns) into user-friendly business terminology and defining semantic views that enhance query performance, reducing dependance on I.T. for data modeling

What we offer

medical, dental and vision insurance
a flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off
up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care

Fulltime

Director, Data Engineering

You'll be one of the analytics leaders for how Meta transforms its Enterprise th...

Location

United States , Menlo Park

Salary:

253000.00 - 314000.00 USD / Year

Director, Data Engineering

The CNPF Data & AI organisation is looking for a Director of Data Engineering (L...

Location

Ireland , Dublin 18

Salary:

Not provided

Mastercard

Expiration Date

October 10, 2026

Requirements

Significant experience leading the design and delivery of large-scale data platforms in production
Deep expertise in distributed data processing and the modern data stack — Spark, Databricks, Kafka, dbt, Delta/Iceberg, and similar
Strong hands-on background in data architecture, modelling, streaming, and lakehouse design on AWS
Proven track record of taking data systems from concept to secure, scalable production
Solid grasp of data governance, lineage, quality, and observability frameworks
Excellent technical communication — able to align engineers, AI scientists, product managers, and executives
Comfortable operating as a player-coach: setting direction, reviewing designs, and going deep when needed

Job Responsibility

Own the data engineering strategy and technical direction for CNPF, with a strong focus on enabling agentic AI and GenAI products in production
Architect and deliver the data foundations for multi-agent systems — including MCP servers exposing data and tools to agents, retrieval pipelines, vector stores, feature stores, and knowledge graphs
Lead the design of context-engineering infrastructure that lets agents reason over Mastercard data safely, with the right grounding, freshness, and access controls
Drive lakehouse, streaming, and event-driven platform design (Databricks, Spark, Kafka, Delta/Iceberg) to support both batch analytics and low-latency AI use cases
Ensure data systems meet Mastercard standards for governance, lineage, data quality, observability, and risk — including the additional requirements that come with AI consumption (PII handling, prompt/response logging, audit trails)
Set technical standards for how data products are exposed to agents and applications, including MCP design patterns, schema contracts, and tool interfaces
Partner with Applied AI on evaluation and runtime data needs — training sets, eval datasets, retrieval quality, and feedback loops
Stay hands-on enough to make sharp architectural calls, review designs, and unblock the team on hard problems
Guide a team of senior data engineers, providing technical direction and growing their capability over time

Fulltime

Director Data Engineering, Platform

The Director of Data Engineering, Platform is a key technical leadership role re...

Location

United States , Chicago, IL; Dallas, TX; New York, NY; San Francisco, CA

Salary:

200000.00 - 300000.00 USD / Year

JLL

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, Engineering, or a related technical field.
10+ years of hands-on experience in data engineering, software engineering, or related fields.
5+ years of formal experience in a people management role, leading and mentoring engineering teams.
Proven experience designing, building, and operating large-scale, cloud-native data platforms (AWS, GCP, or Azure).
Expert-level knowledge of modern data architecture patterns and big data technologies (e.g., Spark, Kafka, Flink, Airflow).
Deep experience with modern unified data platforms like Databricks, and cloud data warehouses (e.g., Snowflake, Big Query, Redshift), with a strong understanding of Lakehouse architecture.
Strong programming skills in at least one language, such as Python, Scala, or Java.
Candidates must be authorized to work in the United States without sponsorship.

Job Responsibility

Build, lead, mentor, and inspire a high-performing, globally distributed data platform team.
Define and execute the technical strategy and roadmap for the enterprise data platform.
Manage hiring, performance, career development, and resource allocation.
Champion agile methodologies, a DevOps mindset, and a culture of operational excellence.
Partner with the central Data Governance team to implement technical solutions that enforce data policies.
Build platform capabilities for data lineage, metadata management, and data quality monitoring.
Architect and implement robust data security controls.
Develop the scalable, foundational data services and self-service tools that empower Data Science and Analytics teams.
Build a performant and reliable platform capable of supporting the entire analytics lifecycle.
Engineer performant and reliable data pipelines.

What we offer

401(k) plan with matching company contributions
Comprehensive Medical, Dental & Vision Care
Paid parental leave at 100% of salary
Paid Time Off and Company Holidays
Early access to earned wages through Daily Pay

Fulltime

Director, Data Analytics & Governance

The Director of Data Analytics & Governance is a strategic cross-functional lead...

Location

United States , Denver

Salary:

195000.00 - 225000.00 USD / Year

MSA BOURGOGNE

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Business, Information Systems, Data Science, or related field required
7–10+ years of progressive experience in data analytics, business strategy, digital transformation
Leadership experience guiding enterprise business intelligence or analytics teams
Experience working in an industrial manufacturing or similar operationally complex environment strongly preferred
Proven track record influencing senior leaders and delivering measurable business impact through data-driven initiatives
Exceptional executive communication, relationship building, and strategic influence skills
Ability to translate technical concepts into business language and value narratives
Strong analytical mindset with proven business acumen
Effective project leadership, prioritization, change management, and stakeholder alignment abilities
Expertise in BI strategy, Power BI, analytics solutions, and data visualization best practices

Job Responsibility

Set the enterprise BI vision and roadmap, ensuring alignment with company strategic priorities
Lead the modernization of BI platforms, including enterprise adoption, governance, and scalable reporting architecture
Champion a consistent KPI framework and standardized reporting to improve visibility, accountability, and performance management
Identify and prioritize BI initiatives that enhance revenue, customer value, operational efficiency, and cost optimization
Establish BI portfolio intake, prioritization, and value measurement processes
Define and lead the master data governance operating model for key enterprise domains (customer, product, supplier, material, asset)
Partner directly with business process owners to ensure data accuracy, consistency, and reliability across commercial, supply chain, finance, and manufacturing operations
Oversee data quality programs, stewardship networks, and policies that improve global data standards, reduce operational friction, and support digital transformation initiatives
Lead teams that deliver actionable insights, predictive analytics, dashboards, and modeling solutions that support strategic and operational decision-making
Collaborate with business leaders to define analytic use cases—such as demand forecasting, inventory optimization, pricing analytics, customer segmentation, procurement efficiency, and operational performance management

What we offer

Bonus Eligible: 20%
Medical, Dental, Vision insurance and other voluntary benefit options: benefits begin on the first day of the month immediately following your date of hire
Eligible for Flexible Time Off
401(k): 3% company contribution and additional 3% company match
Tuition Reimbursement

Fulltime

Director, Data & Analytics

Range is seeking an experienced and strategic Director of Data & Analytics to le...

Location

United States , McLean

Salary:

Not provided

Range

Expiration Date

Until further notice

Requirements

10+ years of experience in data, analytics, or engineering leadership roles with a track record of building and scaling data functions in high-growth environments
BS or BA in Computer Science, Engineering, Statistics, Economics, Mathematics, or another quantitative discipline from a top-tier university
Experience with modern data platforms (cloud data warehouses like Redshift/Snowflake/BigQuery, ETL/ELT tools, data lake technologies, BI/visualization tools)
Demonstrated success leading cross-functional analytics programs and driving measurable business impact
Strong understanding of data engineering, analytics tooling, data modeling, and governance principles
Ability to translate complex business questions into analytical frameworks and communicate results to technical and non-technical stakeholders
Strategic thinker with exceptional leadership and interpersonal skills — able to inspire teams and influence decision-making at all levels
Adept at setting priorities, managing ambiguity, and balancing long-term vision with rapid execution

Job Responsibility

Define and implement Range’s enterprise-wide data strategy that supports growth, operational excellence, and data-driven decision-making
Partner with executive leadership and cross-functional teams (Engineering, Product, Finance, Marketing, Sales, Operations) to align data initiatives with business priorities
Rapidly recruit, mentor, and lead a talented team spanning data engineering, analytics, data science, BI/reporting, and data governance disciplines
Establish standards for performance, collaboration, and professional development to build a strong, scalable data organization
Oversee the design and evolution of the company’s data architecture, including data warehouses, data lakes, pipelines, and integration frameworks that ensure reliability, scalability, and performance
Champion modern data engineering best practices (ETL/ELT, metadata management, data modeling, APIs, and tooling)
Build and enforce a robust data governance framework that ensures data accuracy, security, privacy, and lifecycle management
Define policies for data stewardship, metadata standards, access controls, and compliance with relevant regulations (e.g., privacy frameworks)
Drive the development of insightful analytics products, dashboards, and reporting tools that empower operational and strategic decision-making
Lead efforts in advanced analytics, predictive modeling, and experimentation to surface opportunities and drive business outcomes

What we offer

Health & Wellness: 100% employer-covered medical insurance for employees (75% for dependents), plus dental and vision coverage
401(k): Retirement savings program to support your future
Paid Time Off: Dedicated time to reset and recharge plus most federal holidays
Parental Leave: Comprehensive leave policy for growing families
Meals: Select meals covered throughout the week
Fitness: Monthly movement stipend
Equity & Career Growth: Early exercise eligibility and a strong focus on professional development
Annual Compensation Reviews: Salary and equity refreshes based on performance
Boomerang Program: After two years at Range, you can take time away to start your own company. We’ll hold your spot for 6 months - and pause your equity vesting, which resumes if you return

Fulltime

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Director, Data Engineering & Analytics

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