data engineer

data scientist

senior data engineer

senior data scientist

lead data scientist

senior data scientist ii

Adobe

The Opportunity
 The Speech AI Lab at Adobe Research is seeking a Senior Audio Research Scientist to join our speech generative AI and multimodal research efforts, based in San Francisco.
 This role is ideal for researchers who stay deeply up to date with the latest AI model architectures and innovations and are motivated to push them forward in real-world creative systems. You will work alongside a world-class team of scientists and engineers to invent, evaluate, and scale next-generation audio and speech technologies—translating state-of-the-art research into products used by millions.
 
Our lab values independent research leadership, technical excellence, and impact. We actively support publication at top venues, collaboration with academia, and rapid iteration from research insight to deployed technology. Responsibilities
 
Lead and execute independent research in speech generative AI, audio modeling, and multimodal learning (text and visuals), with a strong focus on modern large-scale model architectures.
 
Design, analyze, and advance state-of-the-art AI models and training procedures, including foundation models, representation learning, and generative systems for speech and audio.
 
Maintain strong technical currency with the latest developments in model architectures, optimization techniques, data scaling, and training strategies, and apply them creatively to audio and multimodal problems.
 
Demonstrate deep understanding of both audio signal fundamentals and machine learning, enabling principled model design and insightful experimentation.
 
Publish research at leading conferences and journals and pursue patent protection for impactful innovations.
 
Build high-quality research prototypes that demonstrate technical rigor, scalability, and clear paths to product integration.
 
Collaborate closely with engineering and product teams to ensure research outcomes translate into robust, real-world impact.
 
Provide technical mentorship and help set a high bar for research quality and engineering excellence. Requirements
 
Ph.D (preferred). or Master’s degree in Computer Science, Electrical Engineering, or a related field, with a strong research focus in audio, speech, and machine learning.
 
3+ years of research experience in industry strongly preferred.
 
Proven track record of independent research contributions, such as first-author publications or equivalent leadership in research projects.
 
Deep expertise in audio and machine learning, including strong intuition for:
 
Speech and audio generation
 
Audio representations and modeling
 
Training large-scale neural models
 
Hands-on experience with modern AI architectures and training pipelines, and a demonstrated ability to quickly adopt and extend new techniques.
 
Strong Python and deep learning development skills, with attention to performance, reproducibility, and experimental rigor.
 
Excellent communication skills and the ability to clearly articulate complex technical ideas.
 
A clear appetite for real-world impact, coupled with a commitment to technical excellence and high research standards.
 About Adobe
 Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
 
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
 
Let’s Adobe together
 At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture , focus on people, purpose and community , Adobe for All , comprehensive benefits programs , the stories we tell , the customers we serve, and how you can help us advance our mission of empowering everyone to create.
 
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
 
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com .
 
AI Use Guidelines for Interviews: 
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
 
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience .

Senior Research Scientist

JPMorganChase

<div>JOB DESCRIPTION 
 
 
Payments sit at the center of the global economy, connecting businesses and consumers around the world. You will join a team driving innovation in this fast evolving space as new technologies reshape how money moves. In this role, you will work at the forefront of modern machine learning and generative AI to deliver meaningful, lasting impact on global finance. You will partner closely with product, operations, risk, and technology teams to turn ideas into measurable outcomes. You will also have opportunities to mentor others and help shape how we build and operate production AI. 
 
As a Vice President Machine Learning Data Scientist in Payments Machine Learning, you will lead the design, development, and production deployment of machine learning applications, including generative AI and agentic systems, on cloud infrastructure. You will own end-to-end delivery from problem framing and experimental design through scalable MLOps, evaluation, governance, and integration with strategic systems. You will help set technical direction, establish reusable patterns, and ensure solutions are reliable, secure, and observable in production. You will mentor engineers and data scientists and translate complex technical work into clear decisions and outcomes for stakeholders.
Job Responsibilities<ul><li>
Lead end-to-end delivery of machine learning and AI solutions for complex payments and banking operations problems, from discovery and framing to production rollout and lifecycle management</li><li>
Develop innovative machine learning solutions, including generative AI and multi-agent approaches, and define evaluation, safety, and monitoring strategies for production use</li><li>
Own production deployment patterns including containerization, continuous integration and delivery, automated testing, model and prompt registries, model and version governance, monitoring and alerting, and rollback strategies</li><li>
Architect and deploy scalable, reliable, and secure machine learning and large language model services integrated with strategic platforms and downstream consumers across APIs, batch, streaming, and event-driven patterns, meeting service level objectives</li><li>
Partner with product, operations, risk and control, and technology teams to influence roadmaps, align on requirements, and deliver data-led transformations</li><li>
Establish reusable, modular data science and machine learning capabilities that scale across use cases, including feature engineering, evaluation harnesses, prompt tooling patterns, agent frameworks, orchestration, and context and memory management</li><li>
Provide technical leadership and mentorship through code reviews, design reviews, best practices, and upskilling across data science and engineering partners</li><li>
Communicate with technical and non-technical stakeholders, translating model outputs into decisions, tradeoffs, and operational plans</li><li>
Maintain strong documentation for approaches, model cards, runbooks, and operational procedures</li></ul>
Required Qualifications, Capabilities, and Skills<ul><li>
Master's degree in a quantitative field, or equivalent practical experience</li><li>
Deep understanding of machine learning fundamentals with strong applied data analysis skills</li><li>
Demonstrated experience designing rigorous evaluation and measurement in real-world settings</li><li>
Demonstrated experience deploying and operating machine learning models in production at scale, including monitoring, drift and performance management, reliability, incident management, and continuous improvement</li><li>
Strong Python software engineering skills, including modular object-oriented design, testing, performance tuning, and debugging</li><li>
Working knowledge of MLOps and LLMOps and distributed systems, including training and serving patterns, batch versus real-time architectures, feature stores, orchestration, and scalable data processing</li><li>
Ability to design intrinsic and extrinsic evaluations aligned with business goals, including offline and online alignment and guardrails for unintended outcomes</li><li>
Experience working in regulated environments with awareness of model risk, controls, privacy and security, and audit-ready documentation</li><li>
Strong stakeholder management and teamwork skills, with the ability to drive outcomes in partnership with cross-functional teams</li></ul>
Preferred Qualifications, Capabilities, and Skills<ul><li>
Experience with NLP and generative AI, including large language models, retrieval-augmented generation, tool and function calling, agentic workflows, multi-agent orchestration, and related evaluation and safety patterns</li><li>
Familiarity with agentic building blocks and standards, including orchestration frameworks, context and memory management, and interoperability protocols such as MCP</li><li>
Experience with machine learning frameworks and data science packages such as PyTorch, TensorFlow, scikit-learn, NumPy, pandas, SciPy, and statsmodels</li><li>
Experience deploying to AWS, including services such as SageMaker and Bedrock, and operating production large language model and machine learning workloads with attention to cost, latency, performance, security, and scaling</li><li>
Experience integrating human-in-the-loop and user feedback signals into iterative improvement, including active learning, preference signals, and labeling strategies</li></ul>
ABOUT US
 
 
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. 
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. 
</div></div> 
 
ABOUT THE TEAM
 
 
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Applied AI ML Data Scientist, Vice President - Payments

DataArt

<ul><li>Position overview: DataArt is seeking a highly motivated and experienced Senior Data &amp; Analytics Consultant to join our dynamic team. In this pivotal role, you will partner with prestigious clients in the Healthcare and Life Sciences industries to tackle complex business challenges and develop impactful, solution-oriented strategies.</li><li>
As a key member of the DataArt Data &amp; Analytics Lab, you will provide strategic consulting services to both clients and internal delivery teams, driving data strategy, data-driven organizational transformation, and other critical data and analytics initiatives. Beyond project delivery, you will also contribute to the growth of the Healthcare and Life Sciences practice and the Data &amp; Analytics Lab through business development and go-to-market activities.</li></ul>
 <ul><li>Responsibilities: Forge strong, trusted advisor relationships with senior client stakeholders and internal account managers, gaining a deep understanding of their business objectives and challenges</li><li>
Lead collaborative, value-driven engagements to define and solve complex data problems, ensuring alignment with client goals and business objectives</li><li>
Collaborate with Practice Leadership and Account Management teams to develop account plans and strategies that identify and capitalize on data-driven opportunities, driving revenue growth within existing workstreams and beyond</li><li>
Serve as the principal consultant, guiding clients through complex data transformation initiatives and ensuring successful outcomes; contribute to key strategic deliverables such as mission statements, assessment results, and roadmaps to support clients' data journeys</li><li>
Actively engage in data-related pre-sales activities, including opportunity assessment, RFP responses, proposal development, and deal closure</li><li>
Support team development by mentoring colleagues and providing expertise across strategic client accounts</li><li>
Drive client value and business growth by achieving revenue targets (e.g., enabled revenue, new account acquisition) and meeting billable utilization goals</li><li>
Contribute to the Healthcare and Life Sciences practice and Data &amp; Analytics Lab by supporting go-to-market strategy, offering development, methodologies, and other strategic initiatives</li></ul>
 <ul><li>Requirements: Proven experience driving data strategy, data governance, data maturity, and data-driven transformation projects for Healthcare and Life Sciences organizations, including Healthcare Providers, Payers, Healthcare Non-profits/Associations, Pharma &amp; Biotech, Medical Devices, and others</li><li>
Extensive experience working within custom IT services, custom IT solutions, and/or IT implementation environments, with a strong understanding of the custom software development services landscape</li><li>
Experience driving change management initiatives in enterprise environments</li><li>
Experience influencing data solution design and technology selection for enterprise data platforms, warehouses, data lakes, lakehouses, and data science platforms</li><li>
Experience implementing data strategies that enable in-house AI platform development</li><li>
Experience in the Healthcare and/or Life Sciences industries in the US and Europe</li><li>
Solid knowledge of Healthcare and/or Life Sciences data regulations, such as HIPAA, GDPR, ISO 27001, and the EU AI Act</li><li>
Extensive knowledge of health data exchange frameworks, data formats, and nomenclatures, including FHIR, HL7, SNOMED, and ICD-10, as well as regulatory frameworks such as TEFCA (US) and EHDS (Europe)</li><li>
Strong understanding of data and technology consulting principles and practices</li><li>
Expertise in leading large data-driven programs and driving revenue growth within client account portfolios</li><li>
Skilled in contributing to business development and sales engineering teams or organizations</li><li>
Proven track record of managing complex technology initiatives while effectively communicating with senior business and IT stakeholders</li><li>
Demonstrated ability to develop and grow client relationships, facilitate strategy definition, and drive adoption</li><li>
Solid understanding of business operations, products, and services</li></ul>

Principal Data & Analytics Strategy and Technology Consultant, Healthcare & Life Sciences

EPAM Systems

<div>We're looking for a Client Engagement Lead &ndash; Data &amp; AI to join our team in London, UK in a hybrid working mode.
In this role, you will take ownership of key client relationships, lead engagements from vision to delivery, and serve as a trusted advisor for data and AI initiatives. You will combine business strategy expertise with technical fluency to influence senior stakeholders, shape solutions and drive measurable business outcomes.
You will play an active role in presales by identifying opportunities, scoping engagements, and creating commercially viable proposals. Success will be defined by delivering impactful projects, strengthening strategic partnerships, and enabling account growth.
If you enjoy building long-term relationships, driving data and AI adoption, and operating at the intersection of technology and business strategy, this position offers a unique opportunity to deliver significant client and organizational value.
Responsibilities<ul><li>
Build and maintain trusted relationships with senior-level stakeholders, acting as the primary contact for Data &amp; AI engagements
</li><li>Lead presales activities, including shaping proposals, supporting opportunity qualification and engagement design
</li><li>Drive account growth by identifying new opportunities and securing long-term partnerships
</li><li>Guide engagements from planning through delivery, ensuring outcomes align with established objectives and timelines
</li><li>Collaborate with technical experts to design data modernization, AI and machine learning adoption strategies
</li><li>Promote best practices for data governance, analytics and enterprise AI integration across engagements
</li><li>Manage risk, scope and client expectations while steering multidisciplinary teams toward success
</li><li>Support commercial negotiations by presenting proposals and defining engagement terms
</li><li>Represent EPAM in thought leadership forums, including client advisory sessions and industry events
</li><li>Monitor the evolving Data &amp; AI landscape and proactively position EPAM as a strategic partner
</li></ul>Requirements<ul><li>
Proven experience managing client-facing data and AI initiatives within consulting, professional services or systems integration environments
</li><li>Track record of leading presales activities, including solution scoping and proposal development, and converting opportunities into revenue
</li><li>Strong ability to build credibility with C-level executives and communicate effectively across business and technical discussions
</li><li>Working knowledge of modern Data &amp; AI solutions including cloud platforms, data engineering, governance, machine learning and generative AI
</li><li>Experience in engagement design, estimation and value framing for enterprise clients
</li><li>Demonstrated leadership ability to coach and mentor cross-functional teams
</li><li>Excellent communication and presentation skills to convey technical concepts into business value
</li><li>Bachelor&rsquo;s degree in a relevant discipline; advanced degree or industry certifications (cloud, data, AI) are an advantage</li></ul>
We offer<ul><li>
EPAM Employee Stock Purchase Plan (ESPP)</li><li>
Protection benefits including life assurance, income protection and critical illness cover</li><li>
Private medical insurance and dental care</li><li>
Employee Assistance Program</li><li>
Competitive group pension plan</li><li>
Cyclescheme, Techscheme and season ticket loans</li><li>
Various perks such as free Wednesday lunch in-office, on-site massages and regular social events</li><li>
Learning and development opportunities including in-house training and coaching, professional certifications, and courses</li><li>
If otherwise eligible, participation in the discretionary annual bonus program</li><li>
If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program</li></ul></div>

Client Engagement Lead - Data & AI

Scalo

<div><div>At Scalo, we are dedicated to delivering software projects. We help our partners grow their businesses by creating software that enables people to work faster, make a difference and achieve better results. Our company uses a wide range of IT services to assist our clients.

Our areas of expertise include technology consultancy, software development, embedded systems, cloud solutions, data management, and dedicated development teams.
</div>
<h2 class="jobSectionHeader">Hi! Explore cooperation opportunities with Scalo!</h2>
<h2 class="jobSectionHeader">Scope of cooperation:</h2>
<ul><li>developing and enhancing customer-facing applications in the area of backup, disaster recovery, and IT resilience,</li>
<li>building frontend solutions using React and TypeScript,</li>
<li>developing backend services and REST APIs with C#/.NET or Node.js,</li>
<li>working with SQL Server / Azure SQL and Microsoft Azure,</li>
<li>transforming prototypes and legacy solutions into secure, scalable, production-ready applications,</li>
<li>taking ownership of applications across development, deployment, support, and further improvements,</li>
<li>working with automated testing, code reviews, CI/CD pipelines, and AI-assisted development tools,</li>
<li>collaborating remotely with international engineering teams, mainly based in the UK,</li>
<li>working 7.5 hours per day according to UK business hours and the UK holiday calendar,</li>
<li>rate: up to 30 GBP/h on a B2B contract.</li>
</ul><h2 class="jobSectionHeader">Required competencies:</h2>
<ul><li>commercial experience as a Fullstack Software Engineer at Regular+ or Senior level,</li>
<li>strong experience with React and TypeScript,</li>
<li>commercial experience with C#/.NET or Node.js,</li>
<li>practical experience with REST APIs and SQL Server / Azure SQL,</li>
<li>experience with Microsoft Azure and modern CI/CD practices,</li>
<li>experience taking ownership of applications and supporting production systems,</li>
<li>knowledge of secure coding practices, automated testing, and code reviews,</li>
<li>experience with AI-assisted development tools,</li>
<li>ability to work independently in an international remote environment,</li>
<li>fluent English at C1 level or higher,</li>
<li>availability to work according to UK business hours.</li>
</ul><h2 class="jobSectionHeader">What you can expect when cooperating with us</h2>

<div><ul><li>Opportunity to deliver projects across Software, Embedded, Data, Cloud Services and AI.</li>
<li>Opportunity to participate in expert initiatives and support presales processes.</li>
<li>Medical care, a sports card and a cafeteria platform available in line with the applicable cooperation rules.</li>
</ul></div><div></div>Technology stack - enter 3 - 4 main technologies, separated by commas, e.g.: Java, AWS, Spring, Hibernate

React, Node, Typescript
Cooperation model - if you need change for Contract of mandate

B2B
Experience level enter: Junior, Regular, Senior, or Expert

Senior
Salary enter the upper end of the salary range, e.g. up to 150 PLN/h (B2B)

up to 30 GBP/h
Service delivery model enter: Remote, Hybrid, or On-site

Remote
<h2 class="jobSectionHeader">
See how to start cooperating with Scalo:</h2></div>

Senior Fullstack Developer (React/Node.js)

Alvarez & Marsal

<div>Description
About Alvarez &amp; Marsal 
Alvarez &amp; Marsal (A&amp;M) is a global consulting firm with entrepreneurial, action and results-oriented professionals. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work - guided by A&amp;M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity - are why our people love working at A&amp;M.
The Team 
Digital &amp; Technology Services (DTS) helps clients create value through digital and technology-led change. We work with Corporate, Private Equity and Financial Services clients across areas including technology strategy, technology due diligence, IT carve-outs and integration, technology transformation, IT cost-out, data, AI, cloud, cyber, analytics and digital value creation. We are looking for a commercially focused Business Development and Pursuits Director to help accelerate DTS growth across EMEA.
This role will work closely with Managing Directors, sector leaders and client account teams to identify opportunities, build senior relationships and convert demand into revenue. The successful candidate will combine professional services business development experience, strong pursuit discipline and the confidence to work directly with senior stakeholders. They will help shape target account strategies, qualify opportunities, support high-priority proposals and position DTS as a trusted advisor to technology, finance and operating leaders. This is a high-impact role with significant exposure to senior leadership and direct influence on the growth of one of A&amp;M&rsquo;s fastest-growing businesses. It requires independence, commercial judgement, pace and the ability to turn market insight into practical growth activity.
How you will contribute<ul><li>
Market and account development: develop target account plans across Corporate, Private Equity and Financial Services clients, aligned to DTS growth priorities, sector focus areas and senior stakeholder relationships.</li><li>
Opportunity generation: identify and qualify new opportunities through targeted outreach, relationship mapping, referrals, events, market insight and collaboration with A&amp;M client account teams.</li><li>
Senior stakeholder engagement: build and maintain relationships with CIOs, CTOs, CDOs, CFOs, PE operating partners and other executive decision makers. 
Pursuits and proposals: work with Managing Directors and sector leaders to shape pursuit strategies, buying hypotheses, pitch materials, credentials, RFP responses and client proposals.</li><li>
Commercial proposition development: translate complex technology themes into clear client value propositions linked to EBITDA improvement, operational efficiency, transaction value, risk reduction and growth.</li><li>
Cross-selling: connect DTS capabilities with broader A&amp;M service lines, including performance improvement, transaction advisory, restructuring and transformation opportunities. 
Pipeline management: maintain CRM discipline, pipeline hygiene, opportunity tracking and performance reporting to provide clear visibility of activity, conversion and revenue potential.</li><li>
Marketing and campaigns: partner with marketing and practice leadership on events, campaigns, roundtables, thought leadership and market-facing content that supports demand generation.</li><li>
Market intelligence: bring insight on competitors, client priorities, technology trends and buying patterns to inform DTS growth strategy.</li></ul>
Qualifications
 <ul><li>7&ndash;10+ years&rsquo; experience in business development, sales, account management within consulting or services, ideally within professional services, consulting, systems integration, technology vendors or managed services.</li><li>
Proven track record generating, qualifying and converting consulting or technology services opportunities.</li><li>
Strong understanding of digital transformation, technology strategy, data, AI, cloud, cyber, enterprise applications, PE value creation and/or technology due diligence.</li><li>
Confidence engaging senior client stakeholders and building trusted relationships with executive decision makers.</li><li>
Strong commercial judgement, with the ability to identify buying triggers, qualify opportunities and prioritise effort where there is clear revenue potential.</li><li>
Excellent proposal, pursuit, communication and stakeholder management skills, with the ability to translate complex technology themes into clear business outcomes. &bull; Strong CRM discipline and experience using pipeline reporting, sales dashboards and performance metrics to support leadership decisions.</li><li>
Self-starter who is comfortable working at pace, managing ambiguity and influencing senior professionals without heavy direction.</li><li>
Bachelor&rsquo;s degree in Business, Technology, Information Systems, Marketing, Engineering or a related field.</li><li>
MBA or relevant postgraduate qualification preferred but not required</li></ul>
Your journey at A&amp;M
We recognise that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person&rsquo;s unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.
We prioritise your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favourite aspects of working at A&amp;M. The possibilities are endless for high-performing and passionate professionals.</div>

Business Development & Pursuits Director, Digital & Technology - London

Boston Consulting Group

<div>Who We Are
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. 
 
To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures&mdash;and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. 
What You'll Do
As a Global Product Director &ndash; AI Innovation, you will lead BCG&rsquo;s Global AI Innovation agenda through the
 
CT Zero to One squad. You will guide the team in rapidly turning high-potential AI ideas into working
 
prototypes, using focused sprints to test concepts, gather evidence, and determine what has the potential
 
to become an enterprise-ready product. 
You will provide senior product leadership from early opportunity identification through prototype delivery
 
and validation. Working in an environment where requirements are often still emerging, you will create
 
clarity around the problem to solve, set priorities, and mobilize multidisciplinary teams to build and learn
 
quickly. You will ensure promising innovations move beyond experimentation with a clear path toward
 
enterprise readiness and scaled product ownership. 
Responsibilities include:<div><ul><li> 
Set the global product direction for AI Innovation, translating emerging opportunities and BCG
</li></ul>priorities into a focused pipeline of product experiments.
 
<ul><li>Lead the CT Zero to One team, creating the conditions for multidisciplinary teams to move from
</li></ul>idea to working prototype within a small number of focused sprints.
 
<ul><li>Frame opportunities and define clear hypotheses, user needs, success measures, and decision
</li></ul>points before teams begin prototyping.
 
<ul><li>Guide rapid prototype development and experimentation, using evidence and user feedback to
</li></ul>determine what should advance, iterate, pivot, or stop.
 
<ul><li>Drive promising prototypes toward enterprise readiness, identifying the product, technology, risk,
</li></ul>and operational requirements needed for successful transition.
 
<ul><li>Partner across Consulting Practice Areas, AI and technology, product, engineering, and design to
</li></ul>bring the right expertise into each innovation effort.
 
<ul><li>Establish repeatable zero-to-one ways of working that increase the speed and quality of innovation
</li></ul>while creating a clear path from prototype to scalable product.</div> 
YOU&rsquo;RE GOOD AT<div><ul><li> 
Setting a clear product vision and direction for Global AI Innovation, translating emerging
</li></ul>opportunities into focused priorities and investment decisions.
 
<ul><li>Leading the CT Zero to One squad, rapidly turning business needs and emerging AI capabilities into
</li></ul>hypotheses, prototypes, experiments, and validated product opportunities.
 
<ul><li>Moving from idea to working prototype within a small number of focused sprints, creating clear
</li></ul>outcomes, success measures, and decision points that accelerate learning.
 
<ul><li>Making disciplined decisions about what to explore, build, advance, pivot, or stop, balancing user
</li></ul>value, business impact, technical feasibility, responsible AI, and risk.
 
<ul><li>Driving promising prototypes toward enterprise readiness, identifying what is required to
</li></ul>transition validated innovations into scalable, sustainable product capabilities.
 
<ul><li>Influencing senior leadership and aligning global product, business, AI, technology, engineering,
</li></ul>architecture, and design partners around priorities and investment decisions.
 
<ul><li>Leading multidisciplinary teams through ambiguity, providing clear direction while empowering
</li></ul>teams to experiment, learn quickly, and deliver.
 
<ul><li>Managing a dynamic pipeline of AI innovation opportunities, balancing emerging demand,
</li></ul>experimentation capacity, potential impact, and readiness to advance.
 
<ul><li>Communicating complex AI, technology, and product topics clearly, building alignment and driving
</li></ul>decisions across technical and nontechnical audiences.
 
<ul><li>Strengthening zero-to-one innovation practices, creating repeatable ways of working that
</li></ul>accelerate prototyping, validation, learning, and transition to enterprise-scale ownership.</div> 
What You'll Bring<ul><li>10&ndash;12+ years of relevant experience, including significant product leadership across AI, data, or
</li></ul>enterprise technology products.
 
<ul><li>Demonstrated success taking emerging ideas from early discovery and experimentation through
</li></ul>validation and product investment decisions.
 
<ul><li>Strong understanding of AI and GenAI capabilities, data platforms, and the technical foundations
</li></ul>required to build scalable products.
 
<ul><li>Ability to frame highly ambiguous problems, make evidence-based trade-offs, and translate
</li></ul>emerging opportunities into clear product direction.
 
<ul><li>Proven success influencing senior leaders and aligning global, cross-functional teams around
</li></ul>complex product priorities and investment decisions.
 
<ul><li>Experience leading and developing multidisciplinary teams while creating clarity, accountability,
</li></ul>and space for rapid experimentation.
 
<ul><li>Strong customer orientation and business judgment, connecting user needs, technology
</li></ul>possibilities, and measurable business value.
 
These expectations retain the experience precedent of the source JDs while aligning the leadership
 
scope to MSD3 expectations for deep expertise, complex problem solving, broad business impact,
 
influence, collaboration, and people leadership. 
Who You'll Work With<ul><li>BCG Global Consulting Practice Areas (Functional &amp; Industry) and Data teams: the Data Product
</li></ul>Portfolio, Data Governance CoE, Master Data Mgmt., Enterprise Data Modelling, and Data Product
 
development teams
 
<ul><li>BCG IT, Knowledge Team and PA Specific data teams: business intelligence and analytics,
</li></ul>operations, and technical teams, among other business functions
 
<ul><li>BCG Leadership: Heads of IT, Consulting / Practice Areas, Knowledge Function, and Enterprise
</li></ul>Services among other business functions.
 
<ul><li>The Data Governance network: Data Owners, Stewards, and Data Governance Directors
</li><li>Data Layer Team &ndash; Collaborating closely with data engineers, lead enterprise architects, data
</li></ul>stewards, data product analysts, and QA engineers to develop, maintain, and enhance BCG&rsquo;s data
 
products and infrastructure. 
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.</div>

Global Product Director

Explore 152+ Senior data scientist ii in London this August. Find roles across top companies and apply now to boost your career.