We are seeking a AI Chief Engineering Lead to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning. In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities. Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns. You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

What You’ll Do

• Develop Advanced Agentic Software - Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
• Apply Agentic Reasoning - Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
• End-to-End System Integration - Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
• Research & Experimentation - Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
• Data-Driven Innovation - Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

• Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
• Solid experience with reinforcement learning methods and their application to autonomous systems.
• Proven experience of shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
• A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Travel up to 40+% of time to build, test, and deploy capabilities in the real world

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Strong programming skills in Python and familiarity with C/C++ is a plus.

ABOUT THE TEAM

Anduril’s Lattice software platform integrates together many sensors into a single cohesive view of the world, providing needed context for our users. AI Engineers on Anduril’s Frontier AI team build edge-compatible, generative AI systems into the Lattice software platform to provide features and products that improve autonomy and reduce cognitive burden on the warfighter. Specific applications include but are not limited to automating mission planning, battle-space understanding, voice-control of assets, and enabling higher-levels of autonomy. 

WHAT YOU'LL DO

• Distill and fine-tune transformer architectures so they can be deployed onto edge devices or compute denied environments
• Propose and prototype LLM-based Agentic systems that help solve real world problems, leveraging the latest state-of-the-art techniques in the field
• Develop and maintain mission relevant benchmarks
• Work cross-functionally with different business lines across Anduril to help discover and scope new research problems

REQUIRED QUALIFICATIONS

• BS in Computer Science, Machine Learning, Electrical Engineering, or related field
• 5+ years experience developing and benchmarking ML algorithms
• Experience pushing and maintaining ML algorithms in production
• Strong Python skills with experience in ML frameworks such as PyTorch
• Must be a U.S. Person due to required access to U.S. export controlled information or facilities

PREFERRED QUALIFICATIONS

• Experience fine-tuning transformer-based model
• Experience deploying deep-learning based models to edge devices or air gapped environments
• Prior experience in defense tech or start-up

We are seeking a Generative AI Chief Engineer Lead to drive innovations in autonomous vehicle technology using deep learning and reinforcement learning. In this dynamic role, you will design state-of-the-art algorithms and systems that enable safe, efficient, and intelligent autonomous capabilities. Today, employing mass quantities of autonomous robots requires heavy human oversight and execution. Anduril is leveraging AI approaches to improve effectiveness of autonomous missions, offload operator burden, and speed up execution via realtime monitoring, recommendations to users, and multi-modal interaction patterns. You will apply proven and un-proven approaches to create prototypes for expanding the capability of autonomous systems.

What You’ll Do

• Develop Advanced Agentic Software - Design and implement novel agent-based software systems to improve sensor perception, prediction, and decision-making for autonomous vehicles
• Apply Agentic Reasoning - Design and implement integrated agents and AI models to solve for end-user autonomous systems workflows.
• End-to-End System Integration - Collaborate with cross-functional teams to integrate research prototypes into robust, production-ready systems including simulation environments and real-world platforms.
• Research & Experimentation - Conduct research into reinforcement learning strategies and deep architectures, iterate on experimental designs, and evaluate performance using rigorous quantitative metrics.
• Data-Driven Innovation - Utilize real-world and synthetic data to enhance model robustness and generalization, leveraging scalable training pipelines on distributed systems.

Required Qualifications

• Sophisticated knowledge of LLM's with an understanding of how they work and how they're applied
• Solid experience with reinforcement learning methods and their application to autonomous systems.
• Proven experience of shipping products end to end
• Experience with simulation or real-world validation for autonomous vehicles is highly desirable.
• A degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Eligible to obtain and maintain an active U.S. Top Secret security clearance
• Travel up to 40+% of time to build, test, and deploy capabilities in the real world

Preferred Qualifications

• PhD or Master’s degree in Computer Science, Robotics, Machine Learning, or a related field, or equivalent practical experience
• Novel application track record and experience including first author publications, participation in peer reviewed conferences, contribution to open source projects, and demonstrated contribution to the ML and AI community.
• Proven experience in deep learning research and development, particularly in generative AI. This includes diffusion models and autoregressive generative models.
• Experience in multi-modal sensor data processing (e.g., cameras, LiDAR, radar).
• Familiarity with ML Ops best practices, including model versioning and reproducible research pipelines.
• Strong programming skills in Python and familiarity with C/C++ is a plus.
• General software engineering experience solving motion planning or related robotics problems.

AI Programmer – MCP Server & Agent Systems

NTT DATA is a team of more than 139,000 diverse professionals operating in more than 50 countries worldwide. Our sectors of activity include telecommunications, finance, industry, utilities, energy, public administration, and health.

Our mission? Offer technological solutions, business, strategy, development, and application maintenance while being a benchmark in consulting. Thanks to the collaboration between teams, the human quality of our people, and the fact that we do not conform to what is established, we always seek innovation that brings us closer to the future.

Our essence has led us to the forefront of technology, breaking paradigms and providing solutions that truly respond to each client's needs. Our talent has led us to be one of the top six technology companies in the world.

Because #Greattech, needs #GreatPeople, like you

NTT Data seeks high-achieving team players who quickly adapt to new challenges and entrepreneurial ventures. We are looking for a AI Programmer to work with our global client in Washington, D.C. This role will require an onsite presence at our client location.

Experience Level: Mid–Senior (4–7+ years)
Focus: AI Agents, MCP Servers, Python Engineering
Location: Washington, D.C. (onsite preferred)
Open to candidates based in Peru, Mexico, Brazil, or Chile who can work in the DC time zone

Role Overview

The AI Programmer – MCP Server & Agent Systems is a hands-on engineering role focused on building, deploying, and maintaining MCP servers and agent-based AI services that integrate with enterprise platforms and data systems.

This role works closely with Senior AI Solutions Architects and platform teams to implement production-ready AI agents, orchestration workflows, and backend services using Python. The ideal candidate is a strong programmer with practical experience implementing AI agent patterns—not just experimenting with them.

Key Responsibilities

MCP Server & Agent Development

• Design, build, and maintain MCP servers that support AI agent execution, tool invocation, and orchestration
• Implement agent-based workflows using Python and modern AI frameworks
• Develop reusable services and APIs to enable agent interaction with enterprise systems and data sources

AI Agent Implementation

• Implement AI agents using frameworks such as LangChain, LangGraph, or MCP-style architectures
• Support RAG-based solutions including vector search, embeddings, and grounding strategies
• Implement guardrails, logging, and error handling for agent reliability and safety

Integration & Deployment

• Integrate AI agents with existing applications, APIs, data platforms, and workflows
• Package and deploy AI services using containerization and cloud-native patterns
• Support CI/CD pipelines for AI services and agent systems

Collaboration & Delivery

• Work closely with AI architects to implement approved designs and PoCs
• Participate in code reviews, testing, and technical documentation
• Support iteration from PoC to production under architectural and governance guidance

Required Technical Skills & Experience

Programming & Engineering

• Strong proficiency in Python
• Experience building backend services, APIs, or microservices
• Familiarity with Git-based workflows and collaborative development

AI Agents & Generative AI

• Hands-on experience implementing AI agents or orchestration workflows
• Experience with frameworks such as LangChain, LangGraph, or similar agent frameworks
• Understanding of LLM-based applications, prompt design, and tool-calling patterns

Data & AI Integration

• Experience working with vector databases, embeddings, and RAG pipelines
• Ability to integrate AI services with structured and unstructured data sources
• Familiarity with data APIs, event-driven systems, or streaming pipelines is a plus

Cloud & DevOps (Preferred)

• Experience deploying services in cloud environments (Azure preferred)
• Familiarity with Docker and cloud-native deployment patterns
• Exposure to CI/CD pipelines and basic MLOps concepts

Why NTT Data?   

Empowerment and rewards are the cornerstone of our career development model. We are a young, fast-growing company, with a highly innovative and entrepreneurial spirit, because of this professional experience and growth will be unmatched. Our talent and positive attitude allow us to transform our goals into achievements, and projects into realities.

NTT Data is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. NTT Data is an Equal Opportunity Employer Male/Female/Disabled/Veteran and a VEVRAA Federal Contractor.

Here’s a summary of the role:   

Ready to be both the conductor and the lead musician of your own business lines AND for a #1 market leader? If so,  Yu-Kuan Lin is hiring a VP of Product Management who can set a bold product vision and roll up their sleeves to build alongside a high‑performing team her at Diligent, #1 market leader in Governance, Risk & Compliance tech and used by 75% of Fortune 500 Boards. You’ll shape the future of our core product—the largest and strategic growth engines of a $7B revenue company—owning multi‑year strategy, AI innovation, and revenue‑tied outcomes. You will additionally be the #1 product leader for 2 business lines – our non-profit & government sector governance solutions. If you have experience being the head of product at a fast-growing growth company or tier 1 tech company, and lead by doing (not just directing), this is your stage to drive impact at executive altitude while still getting hands‑on where it matters. 

Here’s a breakdown of what you’ll do (not all of it, just the important stuff): 

• Define and execute product strategy driving company-level ARR growth, retention, and market expansion in partnership with C-suite and cross-functional teams 

• Build and scale high-performing product organization with clear excellence standards, processes, and OKRs enabling consistent execution and data-driven accountability 

• Champion AI-first innovation leading GovernAI adoption to drive platform upgrades, expansion opportunities, and competitive differentiation 

• Scale product-led growth strategies including trials, freemium models, and self-service capabilities to accelerate adoption and revenue 

• Maintain deep customer empathy through Fortune 500 board engagement, leveraging insights and competitive intelligence to inform product decisions and drive expansion 

• Identify and capture new market opportunities within the governance and compliance ecosystem through innovation and strategic GTM partnerships 

These are the essentials you’ll need to get an interview: 

• 12+ years product management with 5+ years senior leadership (Director+ level) 

• Track record building/scaling successful products in consumer, AI, marketplace, SaaS in either a 1) fast growing start-up OR 2) tier 1 tech company (FAANG or equivalent). Having experience in both is even better.  

• Experience leading 15+ person product organizations with high performance stands with talent development success 

• Proven winning track record over multiple products or multiple companies. 

• Hands on builder – everyone (incl Yu-Kuan) is a builder & vibe coder on our team and we’re looking for kindred spirits.  

It would be great if you had these to, but we’ll support you if you don’t: 

• Have personally led significant AI/LLM-based product initiatives that drove significant customer adoption (3x+ engagement or expansion metrics) 

• Have shipped customer-facing prototypes or products in a past life or as a hobby/side project. Extensive hands-on experience with agentic engineering/vibe coding is highly valued.  

• Demonstrated success partnering with C-suite and cross-functional stakeholders to shape company strategy, with examples of driving market expansion and measurable competitive wins 

• Former founders or similar role/experience very highly valued.   

What You'll Do 

You'll build enterprise integrations that connect our AI platform to Microsoft 365 and other corporate systems. This is hands-on infrastructure work: implementing authentication flows, managing permissions, and creating data pipelines that enable AI agents to operate securely within enterprise environments. 

You'll work closely with senior engineers to expand our platform's integration capabilities—turning technical specifications into production code that consultants rely on daily. 

Your Responsibilities 

Integration Development: 

• Implement OAuth-based authentication flows with proper scope management
• Build data pipelines for email, calendar, file storage, and collaboration platforms
• Handle complex API scenarios like recurring events, large file uploads, and rate limiting
• Create resource mapping between internal systems and external platforms 

Microsoft Graph & Enterprise APIs: 

• Develop integrations using Microsoft Graph API across multiple services
• Implement search and query capabilities using platform-specific APIs
• Optimize performance for high-volume operations
• Build resilient error handling and retry logic 

Security & Compliance: 

• Work with IT teams on app registration and permission workflows
• Implement secure token management with refresh and caching strategies
• Follow enterprise security patterns and data access policies
• Document integration approaches and technical decisions 

Production Support: 

• Monitor integration health and respond to issues
• Handle API throttling and service disruptions gracefully
• Debug authentication failures and permission problems
• Contribute to team knowledge base and documentation 

Your Profile 

Required: 

• 3+ years backend engineering with API integration experience
• Strong proficiency in Node.js and TypeScript
• Deep understanding of Microsoft 365 architecture (Azure AD, SharePoint, Teams, Exchange Online)
• Solid grasp of Microsoft's permission model (delegated vs. application permissions, consent frameworks, API scopes)
• Experience with OAuth 2.0 flows and enterprise authentication patterns
• Hands-on experience with Microsoft Graph API
• Cloud platform experience with Azure and GCP
• Ability to build resilient systems with proper error handling 

Strongly Preferred: 

• MSAL Node library implementation experience
• Understanding of SharePoint site architecture, document libraries, and Teams structure
• Experience with Microsoft Fabric or other Microsoft data architectures
• Model Context Protocol (MCP) implementation experience
• Experience with caching systems (Redis or similar)
• Background working with IT/security teams on enterprise integrations
• Familiarity with AI/LLM platforms or agent systems 

Bonus: 

• Azure AD app registration and administration experience
• Knowledge of other enterprise APIs (Google Workspace, Salesforce, Slack)
• Understanding of Graph SDK internals
• Experience with Adaptive Cards or Teams extensibility
• Familiarity with Microsoft's tenant architecture and multi-tenant applications 

Why This Matters 

Our AI platform serves consultants across a global organization. The integrations you build enable the AI to access the right context while respecting security boundaries—directly impacting how effectively consultants can work. 

We're not building prototypes—we're scaling proven capabilities. Our data infrastructure processes millions of media articles, social posts, and stakeholder signals daily. Our agents don't just answer questions—they generate press releases, analyze media coverage, and provide strategic recommendations that consultants use in high-stakes client situations. 

What makes this interesting: 

• You'll work on real technical challenges: enterprise permissions, asynchronous operations, token lifecycle management
• Your code enables AI capabilities that consultants use every day
• You'll learn integration patterns for AI agents in enterprise environments
• Close collaboration with AI researchers, product teams, and senior engineers 

What you'll learn: 

• Enterprise authentication architecture at scale
• Microsoft Graph API depth across multiple services
• Security patterns for AI agent systems
• How to navigate enterprise IT processes while shipping code 

About FGS Labs 

FGS Labs is FGS Global's innovation engine, building AI and data capabilities that are already in production and delivering value across the firm. Our flagship platform, Fergus, is a live AI assistant used daily by consultants worldwide, powered by real-time media intelligence, proprietary data sources, and specialized agents for M&A, crisis communications, and stakeholder strategy. 

About FGS Global

FGS Global is the world’s leading stakeholder strategy firm, with over 1,500 professionals around the world, advising clients in navigating critical issues and reputational challenges. FGS was formed from the combination of Finsbury, The Glover Park Group, Hering Schuppener and Sard Verbinnen & Co to offer board-level and C-suite counsel in all aspects of stakeholder strategy — including corporate reputation, crisis management, and public affairs and is also the leading force in transaction and financial communications worldwide.

FGS offers seamless and integrated support with offices in the following locations: Abu Dhabi, Amsterdam, Beijing, Berlin, Boston, Brussels, Calgary, Chicago, Dubai, Dublin, Düsseldorf, Frankfurt, Hong Kong, Houston, Kingston, London, Los Angeles, Munich, Paris, Riyadh, San Francisco, Shanghai, Singapore, South Florida, The Hague, Tokyo, Toronto, Vancouver, Washington, D.C., and Zurich. The firm is headquartered in New York.

FGS is consistently ranked a Band 1 PR firm for Crisis & Risk Management and for Litigation Support by Chambers and Partners.  For the second year, FGS was ranked #1 Global M&A PR firm by Deal Count and Value in 2024 by Mergermarket.

We are looking to fill this position as quickly as possible and are open to both freelance and permanent employment arrangements. 

FGS Global is committed to creating a diverse and inclusive environment and welcomes applicants from all backgrounds. 

Opportunity

Brunswick Group is seeking a Director to join our Insight team, focused on evaluating the effectiveness of integrated communications campaigns and communications activity. Based in New York or Washington, D.C., this role will play a central part in how Brunswick defines, measures, and learns from communications activity performance, combining campaign data, primary research, and strategic judgment to inform client decision-making.

You will drive the design and delivery of evaluation frameworks and research that assess not only what happened, but why it mattered and what should change next. Working in close partnership with Brunswick’s Creative, Digital and wider Communications colleagues, you will help shape measurement approaches for paid and organic activity across both established and emerging channels, including podcasts, TikTok, LinkedIn, and creator-led platforms. The role also requires active and responsible use of AI tools and large language models (LLMs) to enhance analysis, synthesis, and insight generation.

About Brunswick Insight

At Brunswick Insight, we support all phases of client engagement, from proposal through final deliverable. We provide the research, data, and analysis that form the strategic foundation of Brunswick’s advice. Our work helps clients understand stakeholder response, reputational impact, and the effectiveness of their communications in complex environments.

As part of the Insight team, you will help strengthen and evolve Brunswick’s campaign and communications evaluation offer, ensuring our clients benefit from integrated, defensible, and decision-oriented measurement that informs creative strategy, media investment, and future communications choices.

About the Role

• Lead the evaluation of integrated communications campaigns, from defining objectives and success measures through post-campaign learning
• Establish measurement frameworks that align campaign activity with delivering companies’ strategic and reputational goals
• Work closely with Creative, Digital and wider Communications colleagues to align evaluation with campaign strategy, messaging, audience targeting, and paid media objectives
• Design and conduct primary research (quantitative or qualitative work) to assess awareness, understanding, credibility, and message impact
• Design and conduct media and social media analysis to assess engagement, message penetration and differentiation
• Integrate research findings across bespoke and wider data sources to provide a coherent view of campaign effectiveness
• Use AI tools and LLM-based techniques to analyze large-scale data, while applying appropriate governance and quality controls
• Apply test-and-learn and experimental approaches where appropriate, and advise on what can and cannot be credibly inferred from the data
• Present metrics and frameworks in a visual and easily consumable format
• Translate complex, mixed-method evidence into clear, actionable insight and strategic recommendations
• Develop benchmarks and context to help clients understand performance over time and across campaigns
• Support new business development by shaping proposals and articulating Brunswick’s approach to campaign evaluation
• Mentor and develop junior colleagues, providing coaching on research design, analytical rigor, and insight storytelling
• Collaborate with Insight colleagues globally to share methodologies, tools, and best practices

What We're Looking For

Knowledge, Skills, and Abilities

• An experienced campaign evaluation, measurement, or insight professional with a strong grounding in integrated communications
• Comfortable operating at the intersection of research, analytics, creative strategy, and digital activation
• Able to design and conduct evaluation approaches that combine primary research, campaign performance data, and qualitative insight
• Fluent in the modern media ecosystem, including traditional news, social platforms, paid digital channels, podcasts, TikTok, LinkedIn, and emerging creator-led formats
• Confident exercising judgment around measurement trade-offs, attribution limits, and data quality
• Able to present frameworks and metrics in a visually compelling way
• A clear and persuasive communicator, able to explain methodology, AI-assisted analysis, and implications to senior, non-technical audiences
• Experienced in agency or consultancy environments where speed, rigor, and practicality must be balanced
• Curious and forward-looking, with an interest in experimentation, test-and-learn approaches, and innovation in measurement
• Collaborative, perceptive, and comfortable managing relationships across disciplines, offices, and seniority levels
• Discreet and trusted, with strong judgment when handling confidential client matters

Ideal Candidate

• 8+ years of experience in campaign evaluation, communications measurement, insight, or opinion research, ideally within an agency or consultancy
• Demonstrated experience of conducting primary and secondary research, and integrating this with wider campaign performance data
• Strong understanding of earned, owned, paid, and shared media, including paid digital and emerging formats
• Experience working alongside creative, digital, or media teams to evaluate campaign effectiveness
• Familiarity with analytics and listening platforms such as Brandwatch, Meltwater, Talkwalker, Quid, Tubular, Podchaser or comparable tools
• Practical experience using AI tools and large language models in research or analysis workflows, with sound judgment around their limitations
• Strong analytical and strategic skills, with the ability to connect evidence to reputational, stakeholder, and business outcomes
• Excellent writing and presentation skills, with a track record of synthesizing complex information into clear narratives
• Client management experience, including contributing to proposals, pitches, and evaluation-led recommendations
• Advanced project management skills, with experience leading complex, time-sensitive workstreams
• Advanced proficiency in PowerPoint; familiarity with additional analytical tools or languages (e.g., Python, R, Tableau) is an advantage

Why Join Us

Whether you are joining a client facing team, a core services team, or starting out on your professional career journey, joining Brunswick unlocks a range of exceptional employee benefits to support your financial future, health and wellness, family and community and continuous professional development.

The successful applicant will be eligible for the following compensation and benefits package: 

Base Pay: The annual base compensation range for this role is $190,000 - $240,000. The base pay offered will be determined by factors including experience, skills, training, office location, certifications, and education.

Bonus Eligibility: Annual discretionary bonus contingent upon individual and firm-wide performance.

Benefits: Medical, Dental, and Vision insurance. Disability insurance. Employee assistance program. Flexible spending account. Health savings account. Life insurance. Commuter Benefits. Generous Paid Time Off: 25 vacation days and 10 days sick leave, as well as 11 paid company holidays. Firm-sponsored 401(k) Plan with 3% automatic company contribution of base and bonus with an additional 1.5% profit share– immediate vesting. Career training and development opportunities. Employee discounts.

Office Policy: At Brunswick, our work is a craft that thrives in teaching environments – whether in our offices or on-site with clients – through real-time observation, collaboration, human connection, clear guidance and by challenging one another to keep getting better. Our policy is that our team members are in person – either in the office or on-site with clients – at least four days each week.

The firm will provide reasonable accommodation to qualified applicants or employees, as defined by applicable law. In addition to the application, the process may include virtual and in-person interviews, as well as an assessment, which may be timed. To request an accommodation during our application and hiring process, email americasaccommodations@brunswickgroup.com.

Opportunity

Brunswick Group is seeking an Insight Consultant (Associate) to join our Insight team to drive its media analytics research offer in the US. Reporting to the Global Head of Analytics in London, you will be based in our New York or Washington D.C. office, and play a key role in scoping, delivering and presenting research to clients, as well as championing the use of analytics and developing our client offer to clients. Extensive experience using media analytics tools is required, as is the ability to identify and communicate actionable insights to clients.

About Brunswick Insight

At Brunswick Insight, we support all phases of client engagement, from proposal to final deliverable. We provide the research, data and analysis that act as the strategic foundation of the Brunswick offer. We bring the outside in, and help our clients understand the voice of their stakeholders so that we can align strategy and communications with the expectations they need to meet, arming our clients with the information they need to navigate business critical moments.  

About the Role

• Manage analytics research projects for clients in the US, identifying key business questions and objectives, scoping and framing research project plans and leveraging the right tools and techniques
• Take accountability for project logistics end to end to ensure on-time and on-budget work streams and deliverables
• Promote the analytics offer within the US offices to build awareness of what the Insight practice can offer to support new and existing clients
• Deliver training to upskill colleagues, in collaboration with Global Head of Analytics
• In addition to developing more formal training programs, offer junior colleagues frequent feedback and coaching
• Push analytics forward by identifying innovative methodologies and tools that will enhance the offer, as well as opportunities for the integration of analytics into client mandates
• Build close relationships with clients and colleagues, as a trusted partner and advisor

What We're Looking For

Knowledge, Skills, and Abilities

• An experienced professional, well-versed in research methods such as media evaluation, social media analysis, influencer mapping, audience analytics
• Someone with a keen interest in current affairs and in particular the issues that companies are currently dealing with
• An experienced user of software/databases for analyzing content such as news coverage, social media posts, financial documents, LLM responses, etc.
• Familiar with the traditional media landscape and have a good understanding of how social media works, and how it shapes public perceptions
• Someone who possesses strong analytical skills, with the ability to identify business questions, capture and analyze relevant data, draw conclusions, and develop actionable recommendations
• A strong communicator who can present complicated findings in a way that cuts through the noise and helps the audience understand what really matters and what it means for them
• Comfortable working as part of a global team and managing/developing internal and external relationships
• Perceptive and empathetic, with the ability to manage up, down, and across
• Self-directed with the ability to exercise good judgment in difficult situations
• Motivated, collaborative and intellectually curious, with a passion for innovation, and finding solutions to tricky problems
• Able to practice discretion with confidential client matters
• Someone with strong project management skills, who can keep on top of their workload and is also attentive to detail
• Proactive, and can adapt quickly to change, with a sense of humor

Ideal Candidate

• 6+ years of experience in traditional and social media analytics, with some research agency or consultancy experience
• Strong analytical skills with the ability to translate client needs into actionable plans, conduct data analysis and interpretation, and identify key findings and recommendations
• Extensive experience using off-the-shelf media analytics research tools such as Brandwatch, Quid, Meltwalter, Talkwalker, etc
• Strong writing skills; the ability to summarize complex data into succinct findings and implications
• Client management experience, including developing and pitching for new business
• An understanding of corporate and financial communications, and interest in the financial, political and social issues companies are dealing with
• Advanced project management skills, and can monitor team, identify and address issues/problems in the research process, and deliver effectively in time-compressed circumstances
• Strong analytical skills with ability to understand client needs, analyze social listening data, and independently draft impactful client deliverables that inform recommendations
• Intermediate/advanced level proficiency in MS Excel and MS PowerPoint (Pivot tables, XLOOKUP, etc)
• (Desirable) Experience with text-analytics tools (Python, Stata, R , etc) as well as tools used to analyze LLM responses

Why Join Us

Whether you are joining a client facing team, a core services team, or starting out on your professional career journey, joining Brunswick unlocks a range of exceptional employee benefits to support your financial future, health and wellness, family and community and continuous professional development.

The successful applicant will be eligible for the following compensation and benefits package: 

Base Pay: The annual base compensation range for this role is $130,000 - $160,000. The base pay offered will be determined by factors including experience, skills, training, office location, certifications, and education.

Bonus Eligibility: Annual discretionary bonus contingent upon individual and firm-wide performance.

Benefits: Medical, Dental, and Vision insurance. Disability insurance. Employee assistance program. Flexible spending account. Health savings account. Life insurance. Commuter Benefits. Generous Paid Time Off: 25 vacation days and 10 days sick leave, as well as 11 paid company holidays. Firm-sponsored 401(k) Plan with 3% automatic company contribution of base and bonus with an additional 1.5% profit share– immediate vesting. Career training and development opportunities. Employee discounts.

Office Policy: At Brunswick, our work is a craft that thrives in teaching environments – whether in our offices or on-site with clients – through real-time observation, collaboration, human connection, clear guidance and by challenging one another to keep getting better. Our policy is that our team members are in person – either in the office or on-site with clients – at least four days each week.

The firm will provide reasonable accommodation to qualified applicants or employees, as defined by applicable law. In addition to the application, the process may include virtual and in-person interviews, as well as an assessment, which may be timed. To request an accommodation during our application and hiring process, email americasaccommodations@brunswickgroup.com.