Director of Data and AI Job at Robert Half (Atlanta)

Director of Data Engineering and Agentic AI Automation

We are looking for a Director of Data Engineering and Agentic AI Automation to l...

Location

United States , San Francisco

Salary:

347000.00 - 490000.00 USD / Year

OpenAI

Expiration Date

Until further notice

Requirements

12+ years in data engineering, with proven experience building and managing enterprise-scale, auditable ETL pipelines and complex datasets
Proficiency in SQL and Python, with demonstrated experience in schema design, data modeling, and orchestration frameworks
Expertise in distributed data processing technologies such as Apache Spark, Kafka, and cloud-native storage (e.g., S3, ADLS)
Deep knowledge of enterprise data architecture, especially within Finance and Supply Chain
Familiarity with financial processes (close, allocations, revenue recognition) and supply chain data models (Supply and demand planning, procurement, vendor master), along with experience in ingesting data from internal engineering systems with large volumes of B2C
Strong track record of partnering with senior business stakeholders and translating complex requirements into scalable technical solutions

Job Responsibility

Build and maintain scalable, auditable data infrastructure that powers accurate financial information, with a focus on revenue recognition, compute attribution, and close automation
Lead and grow teams of analytics engineers, data engineers, and AI engineers to deliver high-impact, intelligent data systems
Guide work across financial close and allocations automation, B2C revenue automation from engineering systems to ERP (including reconciliation with cash and source systems), and other mission-critical financial processes
Design and implement data pipelines connecting ERP, planning, and operational systems, including Oracle Fusion, Anaplan, and Workday
Build and support scalable, audit-proof architecture that enables reliable financial reporting and compliance
Develop data and AI-powered workflows that enhance forecasting accuracy, compliance automation, and operational efficiency
Create and maintain data marts and products that support stakeholders across Revenue, FP&A, Tax, Procurement, Hardware Accounting, and Controller teams
Define and enforce best practices for data modeling, lineage, observability, and reconciliation across finance data domains
Set the technical direction and manage team structure, mentoring engineers and overseeing contractors or system integrators to ensure delivery of high-quality outcomes
Partner with senior leaders across Finance, Engineering, and Infrastructure to align on priorities and integrate new automation capabilities

What we offer

Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend to fuel your professional growth
Daily meals in our offices, and meal delivery credits as eligible

Fulltime

Director of Data, AI & Analytics

A global media and content organisation is seeking a commercially driven leader ...

Location

United States , New York

Salary:

200000.00 - 275000.00 USD / Year

Boston Hale

Expiration Date

Until further notice

Requirements

Proven success delivering revenue growth in digital or retail environments
Strong commercial acumen
You must be technically strong as you will be designing the solutions and being hands-on in the role
Experience applying data and analytics to business strategy
Familiarity with AI or technology-led growth initiatives
Strong leadership and stakeholder management skills to understand the problem before designing the solution

Job Responsibility

Define and deliver a data-led growth strategy aligned to revenue targets
Identify new commercial opportunities through analysis and experimentation
Own and report on ROI and financial impact of initiatives
Lead development of AI-enabled tools and data-driven products
Oversee delivery of analytics solutions from concept to scale
Optimise performance across e-commerce and digital channels
Collaborate with senior stakeholders to drive data-led decisions
Lead and develop a high-performing cross-functional team

Fulltime

Director of Data & AI Strategy

We are seeking a director-level, business-embedded leader to serve as the line o...

Location

United States , Philadelphia

Salary:

110000.00 - 140000.00 USD / Year

Aramark

Expiration Date

Until further notice

Requirements

8+ years of experience in analytics, data strategy, or digital transformation roles
Demonstrated ability to translate business needs into data and AI solutions that deliver measurable value
Strategic mindset with comfort operating at both direction-setting and execution levels
Familiarity with modern data and analytics platforms such as Power BI, Snowflake, and Palantir
Working knowledge of Python for analysis or prototyping and Git/GitHub for collaboration
Strong communication, storytelling, and stakeholder management skills
Experience working in matrixed environments and across functional teams

Job Responsibility

Set the direction and roadmap for how the line of business uses data and AI, aligned to business priorities and outcomes
Partner with functional leaders to identify, prioritize, and deliver high-value data, analytics, and AI initiatives from concept through deployment
Oversee and ensure successful execution and value realization of data and AI initiatives
Evaluate emerging data sources, AI techniques, and tools, adopting new capabilities where they meaningfully improve insight, automation, or decision support
Collaborate with BI teams to integrate insights, model outputs, and AI-driven recommendations into dashboards and operational workflows
Coordinate with the Cognitive Data team to ensure alignment with enterprise platforms, standards, and delivery approaches
Communicate insights and recommendations clearly to leaders and operators to support timely, data-informed decisions
Scale solutions across the business to drive operational and economic value
Provide leadership and oversight for data and AI capability development within the line of business, including influencing resource planning, vendor selection, and investment prioritization
Conduct exploratory analysis on new data sources or business questions

What we offer

medical
dental
vision
work/life resources
retirement savings plans like 401(k)
paid days off such as parental leave and disability coverage

Fulltime

Solution director data and ai

As a Technical Solution Director in our Clubs, you’ll shape and drive the growth...

Location

United Kingdom , Manchester

Salary:

Not provided

AND Digital

Expiration Date

Until further notice

Requirements

Deep expertise across data platforms, AI/ML, cloud architectures, and analytics
Strategic mindset – able to connect technology to business vision
Strong problem-solving and design thinking skills
Exceptional communication – from boardroom to engineering team
Influential leadership without formal authority
Commercial awareness and a growth mindset
Curiosity, adaptability, and commitment to continuous learning

Job Responsibility

Lead our propositions and Practice IP
Engage with clients
Shape solutions
Drive growth
Lead and inspire

What we offer

25 days holiday allowance + bank holidays
Flexible bank holidays
Share scheme
A £1000 flexifund to use on a personalised list of benefits such Gym membership, Cycle to Work Scheme, Health, dental and optical cash plan
Private medical insurance
6% employer pension contribution, when you contribute 2%

Fulltime

Confidential: Brand New Ai And Data Platform Director

Location

Japan , Tokyo 23 wards

Salary:

16000000.00 - 20000000.00 JPY / Year

Randstad

Expiration Date

May 21, 2027

Requirements

Advanced Engineering and Cloud Development Experience: Advanced hands-on engineering background and deep experience in Web application development on Cloud/PaaS environments such as AZURE/AWS, system architecture design, and database design.
Knowledge of AI Technology/Data Pipeline Construction and Company-wide Platform Mindset: Practical knowledge regarding the implementation of AI technologies and data pipeline construction, along with the ability to design and deliver services as a company-wide shared Platform rather than limiting focus to specific projects.
Large-Scale IT Digital Project Management Experience: Over 5 years of management experience with IT digital projects exceeding 50 person-months. Utilization of systematic project management methodologies (e.g., PMI, PRINCE2, etc.), and management experience leading engineering organizations of 5 or more members or collaborating with large external partners.

Job Responsibility

Drafting Advanced Technical Strategy and Service Implementation of Cutting-Edge Technology:Leading the planning and execution of advanced technical strategies, leveraging deep practical technical understanding. This includes selecting technologies for AI (LLMs, etc.), applications, and databases, overseeing design to translate business requirements into high-level engineering specifications, and driving service implementation.
Building and Continuously Evolving Next-Generation Digital Platforms:Responsible for the construction and operation of the next-generation standard digital platform, including core business systems, no-code solutions, data lakes, BI, service buses, and AI Agents. This also involves the continuous improvement of Service Level Agreements (SLA) across the entire group and the enhancement and advancement of the platform.
Managing Hybrid Teams and Optimizing Project QDC (Quality, Delivery, Cost):Forming and managing hybrid project teams that optimally combine internal and external resources, leading strategic alliances with external Engineering partners and directing mixed teams. The role involves optimizing project Q (Quality), D (Delivery/Deadline), C (Cost), and developing and promoting training programs aimed at enhancing the engineering skills of internal members.

What we offer

健康保険
厚生年金保険
雇用保険
土曜日
日曜日
祝日
賞与

Fulltime

Director of Data Science & AI

We are seeking a Director of Data Science and AI, Recommender Systems and Martec...

Location

Spain , Barcelona

Salary:

Not provided

Delivery Hero

Expiration Date

Until further notice

Requirements

Extensive Leadership Experience: Demonstrated track record of building and scaling high-performing data science and AI teams from the ground up, with proven success deploying production-grade models in domains such as Recommendation Systems, E-commerce, or Marketing Science
Advanced Academic Background: A master’s degree or higher in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline
Deep Technical Proficiency: Strong technical foundation as a previous individual contributor
ability to engage technically with the team's stack in Python and SQL, and critically evaluate work across deep learning frameworks (PyTorch, TensorFlow, or JAX) and data orchestration at scale (PySpark, Airflow)
Cloud-Scale Personalization Expertise: Demonstrated expertise in managing and deploying large-scale AI solutions within cloud environments (GCP/AWS), specifically handling high-volume behavioral data and real-time event streams
Strategic Communication: Exceptional ability to translate complex AI concepts and algorithmic trade-offs into clear business implications for senior leadership and non-technical stakeholders

Job Responsibility

Advanced Personalization & Discovery: Proven ability to guide and evaluate architectures in designing architectures for discovery, including deep learning models such as Two-Tower models, and Transformers for session-based behavior, to ensure users find relevant vendors instantly upon entering the platform
Acquisition-Focused Martech: Deep understanding of applying statistics and causal inference to optimize the top of the marketing funnel. This includes building models for Media Mix Modeling (MMM), automated bidding for performance channels (SEM, Paid Social), and predictive Long-Term Value (LTV) to guide acquisition strategy
Causal Inference & Incremental Growth: Deep understanding of establishing frameworks to measure the true incrementality of marketing spend and recommendation features
Cross-Functional Growth Leadership: Demonstrated ability to collaborate and align effectively across Growth Marketing, Performance Marketing, and Product Engineering teams to drive shared goals around efficient scaling and market expansion
Scalable MLOps for Real-Time Bidding & Ranking: Proven leadership in developing high-throughput data and feature pipelines. Ensure the efficient training and deployment of models that can handle massive external signals from marketing platforms and internal real-time user data
Technical Vision and Strategic Roadmap: Maintain knowledge at the forefront of AI/ML trends in both Recommendations and Growth Tech. Actively drive the team to adopt cutting-edge methodologies in generative content for ads and automated data quality monitoring
Agentic Modeling & DS Excellence: Lead the strategic adoption of agentic AI frameworks across your org. This involves designing autonomous and semi-autonomous AI agents capable of reasoning and tool-use to automate complex acquisition workflows—such as autonomous campaign optimization and self-healing data pipelines—while establishing rigorous guardrails for safety, reliability, and ethical governance

Parttime

Director of Data, ML & AI Engineering

As Director of Data, ML & AI Engineering, you will lead the design, delivery, an...

Location

United Kingdom , London

Salary:

Not provided

Collinson

Expiration Date

Until further notice

Requirements

Senior leadership experience across data, platform, ML, and/or AI engineering in enterprise or federated environments
Deep understanding of modern cloud-native data platforms, large-scale distributed systems, and emerging data technologies
Proven experience delivering and evolving enterprise-scale data and AI platforms from inception to production
Hands-on knowledge of ML/AI operationalisation, including pipelines, lifecycle management, and experimentation frameworks
Demonstrated capability managing cost, risk, security, and compliance at scale
Strong people leadership and team development experience, promoting inclusion, clarity, and accountability
Ability to translate complex technical concepts into business impact with senior stakeholders
A collaborative, adaptive leadership style that encourages openness, trust, and curiosity

Job Responsibility

Lead the design and evolution of enterprise-grade data, ML, and AI engineering platforms, covering ingestion, transformation, feature management, model pipelines, and deployment
Ensure platforms are resilient, scalable, and production-ready to support both analytics and AI workloads
Balance continuous innovation with operational reliability, service continuity, and business value
Lead multiple engineering squads across data, platform, ML, and AI engineering disciplines
Establish clear engineering standards, ownership models, and accountability frameworks
Embed modern delivery practices such as DevOps, DataOps, MLOps, and AIOps to improve reliability and speed
Champion operational excellence, predictable delivery, and effective incident management
Partner with the VP of Analytics and Head of Innovation & AI to align platform capabilities with insight delivery, experimentation, and AI productisation
Provide high-quality, governed, production-ready data products and shared tools that empower analytics and AI teams
Accelerate time to value through automation, reusable patterns, and scalable platform abstractions

Director, AI Data Strategy and Operations

At Microsoft AI, we are on a mission to train the world’s most capable AI fronti...

Location

United States , Mountain View

Salary:

106400.00 - 203600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Business Administration or related field AND 4+ years strategy or finance, data operations, program/technical program management, procurement, or finance integration
OR Bachelor's Degree in Business, Finance, Economics, Computer Science, or related field AND 6+ years strategy or finance, data operations, program/technical program management, procurement, or finance integration
OR equivalent experience
Bachelor’s Degree AND 10+ years' experience in technical data operations, procurement program management, or finance systems integration OR equivalent experience
Proven experience in leading large, cross-functional programs and strategically managing AI data vendor relationships
Expertise in managing data operations for AI research organizations and working closely with scientists on data collections
Demonstrated ability to maintain oversee budget/impact tracking systems and cross-functional programs
Experience leading large-scale multimodal data programs for AI research organizations

Job Responsibility

Lead post-training data collection (e.g. human evals, training data), including vendor selection, contract negotiation, and management
Act as primary data operations POC for key research efforts and pillars, including Multimodality (images, audio, video) and multilingual
Support data operations across human data vendors, including tracking of POs, spend, amortization schedules, and milestone delivery
Coordinate cross-functional initiatives across Business Development, Procurement, Legal, Compliance, Finance, and Engineering
Advance the AI frontier responsibly and embody Microsoft’s culture and values

Fulltime

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Director of Data and AI

Job Description

Job Responsibility

Requirements

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