Director of Data & AI Strategy Job at Aramark (Philadelphia)

Director, AI & Data Strategy - Technical Product Management for Responsible AI - Commercialization

As a Director level Technical Product Manager for Responsible AI within the AI G...

Location

Singapore , Singapore

Salary:

Not provided

Mastercard

Expiration Date

Until further notice

Requirements

A strong academic background in Computer Science, Data Science, Engineering, Mathematics, Statistics, or equivalent practical experience
Hands on experience building, testing, approving, and deploying data science or AI systems including post deployment lifecycle management
Demonstrated success delivering production grade AI platforms or tooling intended for external use
Experience working directly with external stakeholders such as customers, government agencies, regulators, vendors, or systems integrators
Proven ability to operate in ambiguous environments, drive decisions through influence, and communicate clearly with both technical and non technical audiences
Technical Skills
Experience building or scaling Responsible AI or AI governance tooling for external use
Experience designing or integrating governance capabilities including monitoring, documentation, approval workflows, and lifecycle controls
An understanding of the responsible AI marketplace and key products within the domain
Long term work eligibility for Singapore

Job Responsibility

Technical Product Management Responsible AI Commercialization
Collaborate with internal teams to define the productization strategy for Responsible AI tooling, evolving internal platforms and prototypes into sellable products or consulting accelerators
Define and manage technical product requirements including epics, acceptance criteria, and dependencies with an explicit focus on external usability, operability, and governance defensibility
Establish product standards for commercial readiness including documentation, audit evidence, configuration guidance, versioning, and support and operating models
Translate complex data science and Responsible AI concepts into clear client ready value propositions and provide precise direction to engineering teams
Track outcomes and adoption signals to identify when Responsible AI tools or services require refinement, modularization, repositioning, or retirement
Solution Architecture Deployable and Client Ready Responsible AI
Engage directly with customers, government agencies, regulators, and partners to understand deployment environments, security models, regulatory requirements, and operational constraints
Design end to end Responsible AI by design systems that integrate data pipelines, models or large language models, orchestration layers, APIs, monitoring, human oversight, and documentation
Translate governance and regulatory expectations into implementable system designs with clear operational controls, accountability, and evidence generation

Fulltime

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

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 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 of Data and AI

We are looking for an experienced and visionary Director of Data and AI to lead ...

Location

United States , Atlanta

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field
advanced degree preferred
At least 15 years of progressive experience in data, AI, and enterprise architecture, including 7+ years in senior leadership roles
Proven track record of developing and implementing successful data and AI strategies that deliver measurable business results
Deep knowledge of enterprise architecture principles, cloud technologies, and integration strategies
Expertise in deploying AI technologies to enhance operational efficiency and customer engagement
Strong leadership skills with experience in building and managing high-performing teams
Ability to establish governance models and ensure compliance with security and scalability standards
Excellent communication and collaboration skills for working with cross-functional teams and senior executives

Job Responsibility

Define and execute a comprehensive strategy for data, AI, and enterprise architecture aligned with organizational goals
Collaborate with senior leadership to embed data-driven decision-making and AI solutions into business operations
Establish governance frameworks and standards for data management and architecture to ensure security, scalability, and reliability
Lead the development and modernization of enterprise architecture to support integration and cloud transformation
Oversee the deployment of AI technologies to enhance business processes, customer experiences, and workforce productivity
Manage enterprise data platforms and analytics to ensure data integrity and accessibility across the organization
Identify opportunities for leveraging data insights to improve performance and deliver competitive advantages
Evaluate emerging technologies and build external partnerships to stay ahead in innovation
Build and mentor a high-performing team focused on innovation, delivery, and continuous improvement
Foster a collaborative and accountable culture that promotes curiosity and drives transformation

What we offer

medical
vision
dental
life and disability insurance
company 401(k) plan

Director of Operational Excellence, AI Strategy & Business Innovation

We’re looking for a Director of Operational Excellence to lead a high‑impact tea...

Location

United States , Redmond

Salary:

130900.00 - 277200.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Business, Operations, Finance, or related field AND 8+ years experience in program management, process management, or process improvement OR equivalent experience
6+ years management (e.g., people, vendor, change) experience
Proven experience leading operational excellence at scale in large, global organizations, with a strong continuous improvement mindset
Deep understanding of professional services, cloud transformation, and AI driven operating models
Deep analytical and modeling expertise, able to operate across altitudes—from strategic framing to detailed execution
Passion for developing talent and fostering inclusive, high performance environments
Effective executive communication skills with the ability to deliver clear, compelling narratives to diverse audiences
Experience managing complex, cross-functional initiatives under tight timelines
Ability to drive impact through both individual leadership and v-team collaboration

Job Responsibility

Own end‑to‑end capacity, hiring, and resource governance for the organization
Ensure alignment to financial targets, demand signals, and P&L constraints
Lead executive‑level hiring and spend reviews with clear controls, transparency, and decision‑ready insights
Translate workforce plans into consistent, scalable hiring and execution workflows
Enable the organization to respond quickly to changing business needs while maintaining operational rigor and compliance
Deliver actionable operational insights through dashboards, weekly reporting, and executive readouts
Turn data into clear guidance on hiring velocity, execution health, and capacity risk
Help leaders make faster, higher‑quality decisions with confidence
Apply AI and continuous improvement principles to simplify operations and reduce friction
Partner across Services and AISBI transformation efforts to scale best practices and reduce fragmentation

Fulltime

Director / Senior Director of Product Management - Agentic Platform & MCP Strategy

Bloomreach is seeking a senior product leader to define and drive the product vi...

Location

Salary:

Not provided

Bloomreach

Expiration Date

Until further notice

Requirements

10+ years of product management experience, with significant time spent on platform or infrastructure products
Strong Business experience in terms of thinking through how to monetize and drive value through a platform
Experience working with partners
Proven experience leading cross-cutting platform initiatives across multiple product teams
Strong technical fluency: API design, distributed systems, microservices & cloud-native architectures
AI/ML platforms or AI-enabled products
LLM architecture and conversational commerce patterns
Experience working with ecosystems and partners, including external developer platforms
Ability to operate effectively at both strategic and execution levels
Strong communication skills with technical and non-technical stakeholders

Job Responsibility

Product Vision & Strategy: Define and own the product vision and strategy for Bloomreach’s MCP server as a core platform capability
Translate Bloomreach’s agentic platform vision into concrete, phased product outcomes
Establish clear product principles for agent orchestration, interoperability, extensibility, and trust
MCP & Agentic Platform Leadership: Drive the design, orchestration and functional specification of multiple MCPs
Coordinate and synthesise agentic solutions with engineering to shape APIs, contracts, and abstractions that scale across teams and products
Balance short-term delivery through customer beta programs with long-term architectural integrity
Ecosystem & Partner Enablement: Define how ecosystem partners integrate into the Bloomreach MCPs
Own the partner-facing product experience: APIs, SDKs, documentation, and onboarding flows
Collaborate with Partnerships and Developer Relations to drive adoption and feedback loops
Cross-Product Alignment: Align product leaders across Bloomreach applications to ensure consistent agent integration patterns

What we offer

A great deal of freedom and trust
Flexible working hours
Work virtual-first with several Bloomreach Hubs available across three continents
Company events
5 paid days off to volunteer
People Development Program
Communication coach
Leader Development Program
$1,500 professional education budget annually
Employee Assistance Program with counselors

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Director of Data & AI Strategy

Job Description

Job Responsibility

Requirements

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