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cluster senior human resources manager

digital consulting manager - oracle hcm Jobs in Chicago

digital consulting manager - oracle hcm

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health solutions consultant - data warehouse implementation manager

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digital consulting manager oracle hcm

Huron Consulting Group

<div><div>Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.<br>
<br>
Join our team as the expert you are now and create your future.</div><div></div>
The multi-faceted role you&rsquo;ve been looking for&hellip; Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for being politically savvy, they build long-standing relationships with clients, while collaborating with colleagues to solve their most important challenges. They plan, shape and deliver technology solutions that deliver results and seamlessly align with client goals, visions and missions. Remarkably versatile, our Managers also spend significant time mentoring junior staff on the engagement team&mdash;where they tirelessly share expertise as well as feedback and encouragement. This benefits Huron profoundly as it promotes a culture of respect, unity, collaboration and personal achievement.<br>
<br>
Our environment inspires and rewards growth&hellip; As a Manager, you have the unique ability to specialize in certain areas of enterprise software products that showcase and employ your areas of expertise while pursuing your &ldquo;career vision&rdquo;. Huron is big enough to offer the opportunity and exposure you need for your career growth&mdash;but small enough to give you individual attention for your professional development. Every Manager adds to who we are as an organization&mdash;and the more you evolve, the more we do. An exciting career experience awaits you where you&rsquo;ll be challenged to discover your true potential: It&rsquo;s analytically rigorous&hellip; it&rsquo;s practical&hellip; it&rsquo;s entrepreneurial&hellip; it&rsquo;s intellectually stimulating&mdash;and most definitely&mdash;it&rsquo;s career-defining. It&rsquo;s the Huron way.<br>
<br>
We see what&rsquo;s possible in you and help you achieve it.<div></div><div>
Qualifications:</div><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in a field related to this position or equivalent work experience</li><li>
5-7 years of related experience with ERP cloud implementations in a consulting role</li><li>
3+ years of experience leading Oracle Cloud implementations in one of the following areas: Oracle HCM ORC &ndash; Recruiting or Talent modules</li><li>
End-to-end project implementation experience in one or more of the following areas: Cloud ERP, EPM, CRM or Data Management solutions. Oracle HCM Recruiting or Talent module functional lead experience is a must</li><li>
Experience as a functional application specialist</li><li>
Excellent communication skills &ndash; oral and written &ndash; and the interpersonal skills needed to quickly establish relationships of trust and collaboration</li><li>
Experience with and ability to develop and grow others through effective coaching and leadership</li><li>
Ability to provide industry insights and identify opportunities for value creation based on deep understanding of client (internal or external) challenges</li><li>
Proven ability to contribute on multiple projects of differing scale and duration</li><li>
Willingness to travel up to 50% as needed to work with client or other internal project teams</li><li>
Living location can be anywhere within the contiguous 48 states and near a major airport</li></ul><div>
The estimated base salary for this job is $145,000 - $170,000. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron&rsquo;s annual incentive compensation program, which reflects Huron&rsquo;s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $166,750- $212,500. The job is also eligible to participate in Huron&rsquo;s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.</div><div></div><div>
Position Level</div>
Manager<div></div><div>
Country</div>
United States of America</div>

Digital Consulting Manager - Oracle HCM

Strongpoint Partners

<div><div><p><b>Who we are:</b></p>
<p>
Strongpoint Partners is tech-enabled retirement services platform serving small- to mid-sized businesses with integrated retirement third party administration, recordkeeping, payroll, and HR solutions. Recognized as one of Inc. 5000's Fastest Growing Private Companies in America and certified as a Great Place to Work, Strongpoint offers a suite of services that prioritizes accuracy, compliance, and reduction of regulatory risk for its clients, delivered by local client success teams that understand the nuances of the markets they serve. With a coast-to-coast network of 19 leading firms including HowardSimon (&quot;HSI&quot;), Jocelyn Pension Consulting (&quot;JPC&quot;), Retirement Strategies Group (&quot;RSG&quot;), Retirement Planners and Administrators (&quot;RPA&quot;), Pension Financial Services (&quot;PFS&quot;), Pollard &amp; Associates (&quot;PA&quot;), Carlson Quinn (&quot;CQ&quot;), SI GROUP (&quot;SIG&quot;), Retirement Planning Consulting Group (&quot;RPCG&quot;), Karel-Gordon &amp; Associates (&quot;KGA&quot;), Cash Balance Actuaries (&quot;CBA&quot;), Pension Consultants, Inc. (&quot;PCI&quot;), Actuaries Unlimited (&quot;AUI&quot;), California Retirement Plans (&quot;CRP&quot;), Benefit Equity (&quot;BEI&quot;), United Benefit Pensions, Inc. (&quot;UBP&quot;), Creative Retirement Systems (&quot;CRS&quot;), Associated Pension Consultants (&quot;APC&quot;), and Allied Consultants, Inc. (&quot;ACI&quot;), Strongpoint Partners combines a relentless passion for service and innovation with the experience and expertise required to make retirement work for everyone. For more information, please visit: www.strongpointpartners.com.</p></div><p><b>
Position Summary:</b></p>
<p>
We are seeking a full-time <b>Marketing Engagement Manager</b> to develop and execute engagement, retention, and brand loyalty across multiple marketing channels. This role will drive positive, consistent brand touchpoints among our network of Partners and their prospects, clients, wholesalers, and advisors.</p>
<p>
The Marketing Engagement Manager will collaborate with the Marketing Director and national sales team to deliver best-in-class marketing materials, campaigns, and experiences that generate new leads and support Partner growth goals.</p>
<p><i>
PLEASE NOTE: This is a fully </i><i>remote</i><i> position and can be performed from anywhere within the United States. We are committed to supporting a flexible work environment and welcome candidates from all U.S. time zones.</i></p>
<p><b>
Key Responsibilities:</b></p>
<ul>
<li>Develop and lead a marketing engagement playbook that aligns with sales goals and Partner growth objectives.</li>
<li>Manage campaign calendars and coordinate cohesive messaging across email, LinkedIn, events, and digital channels.</li>
<li>Execute and measure Partner email marketing campaigns to drive engagement and retention.</li>
<li>Support LinkedIn content strategy, including thought leadership, Partner spotlights, and brand engagement initiatives.</li>
<li>Lead generation: Develop and manage campaigns that attract and nurture new leads across Strongpoint's Partner network.</li>
<li>Support event marketing initiatives, including materials, promotion, and post-event follow-up.</li>
<li>Create and maintain marketing collateral, including brochures, presentations, and sales enablement materials.</li>
<li>Analyze marketing performance, generate reports, and recommend optimizations based on data insights.</li>
<li>Collaborate cross-functionally with sales, operations, and Partner leadership teams to ensure an exceptional client and prospect experience.</li>
</ul>
<p><b>Minimum Qualifications:</b></p>
<ul>
<li>Bachelor's degree in Marketing, Communications, Business, Public Relations, or a related field.</li>
<li>3-7 years of experience in marketing, ideally focused on engagement, lifecycle, or campaign management.</li>
<li>Strong understanding of customer journey mapping and engagement strategies.</li>
<li>Proficiency with HubSpot, LinkedIn, Squarespace, Google Analytics, and related marketing/reporting tools.</li>
<li>Excellent written and verbal communication skills, with a high attention to detail.</li>
<li>Demonstrated ability to manage multiple priorities and projects while meeting deadlines.</li>
<li>Strong collaboration skills with the ability to partner effectively with senior leaders and cross-functional teams.</li>
<li>Ability to work independently and collaboratively as part of a team.</li>
<li>Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).</li>
</ul>
<p><b>Preferred Qualifications:</b></p>
<ul>
<li>Experience in B2B and/or financial services marketing.</li>
<li>Hands-on knowledge of SEO, content marketing, and social media strategy.</li>
<li>Copywriting and storytelling skills.</li>
<li>Comfort with A/B testing, personalization, and campaign optimization.</li>
<li>Creative problem-solver with curiosity and humility to learn from subject-matter experts.</li>
<li>Adaptability to thrive in a fast-paced, evolving environment.</li>
</ul>
<p><b>Travel Requirements:</b></p>
<ul>
<li>This role may require occasional travel to partner sites across the U.S.</li>
</ul>
<p><b>Pay Transparency Statement:</b></p>
<p>
The anticipated pay range for this position is <b>$75,000-$85,000</b> annually.</p>
<p>
At Strongpoint Partners, our salary ranges reflect the minimum and maximum base pay for the posted position applicable to all locations across the US. Within the posted salary range, individual pay is determined by the geographic location, job related skills, experience, education, and certifications. Our total compensation package includes base pay plus a comprehensive benefits program.</p><div><p><b>
Our Value-Driven Employee Experience:</b></p>
<p></p>
<ul><li><b>Flexible Workplace</b> &ndash; Hybrid and remote options available for many roles.</li>
<li><b>Unlimited PTO</b> &ndash; Competitive paid time off, including flexible &amp; unlimited options.</li>
<li><b>Inclusive Environment</b> &ndash; A culture that values diversity, collaboration, and respect.</li>
<li><b>Growth Opportunities</b> &ndash; Support for ongoing learning and career development.</li>
<li><b>Comprehensive Benefits</b> &ndash; Health, dental, vision, life, and disability coverage.</li>
<li><b>Workplace Perks</b> &ndash; Incentive bonus programs, flexible hours, &amp; more.</li>
</ul>
<p><i>**Specific benefits and programs may vary by partner and position.</i></p></div></div><p></p>

Marketing Engagement Manager

<div><p><b>POSITION SUMMARY</b></p><div></div><p><br>
Analyzes, designs, develops, tests, documents and implements programs, applications and systems that meet USG business requirements. Coordinates activities that affect availability, reliability, and functionality of delivered products. Reviews work of other development team members. Provides application assistance to business, support, and operations organizations. Collaborates with the business in developing business requirements.</p><p></p><p><b>
KEY ACCOUNTABILITIES AND RESPONSIBILITIES</b></p><p>
Job Knowledge</p><div>
&sect; Analyzes, designs, and develops new applications/business systems and application enhancements according to business specifications and technical designs; creates technical specifications and documents deliverables</div><div>
&sect; Documents application requirements and models current/proposed information and process flows</div><div>
&sect; Ensures unit, system, and integration test plans exist, performs quality reviews of testing and coordinates testing across all teams</div><div>
&sect; Reviews work of others to ensure design approach and delivered product is consistent with business requirements</div><div>
&sect; Ensures all appropriate technical documentation is completed and up-to-date (program, system, change management, etc.)</div><div>
&sect; Assists in re-engineering system related processes</div><div>
&sect; Functions as subject matter expert in those areas where extensive knowledge is present</div><div>
&sect; Proficient in, and assists others in using programming aids and tools, utilities, database access methods, and systems software</div><div>
&sect; Addresses development issues escalated within the team</div><div>
&sect; Keeps abreast of current and emerging information technology and trends</div><div>
&sect; Analyzes, documents, and resolves problems in accordance with department quality standards and procedures</div><div>
&sect; Keeps abreast of current and emerging information technology trends</div><div>
&sect; Assists in overseeing analysis, design, and development of new systems and enhancements according to internal customer expectations and technical design</div><div>
&sect; Trains and mentors new and/or less experienced team members in development related areas</div><div>
&sect; Works under minimal supervision, relying on experience and judgement to plan and accomplish assigned goals</div><div>
&sect; Leads small to medium projects; participates in projects of all sizes</div><div>
&sect; Performs additional responsibilities as assigned</div><p>
Business Focus</p><div>
&sect; Assists in determining service level agreements and ensures they are met</div><div>
&sect; Reviews internal customer materials and training curriculum to ensure content accuracy</div><div>
&sect; Collaborates closely with the business to ensure that business needs are well understood and are designed into the provided solutions</div><div>
&sect; Coordinates or leads third level application support efforts</div><div>
&sect; May be required to provide 24 hour on call support</div><p></p><p><b>
KEY QUALIFICATIONS:</b></p><div><b>
Education</b></div><div></div><div><br>
Required: Bachelor&rsquo;s degree in Computer Science or related field</div><div></div><div><b><br>
Years of Experience</b></div><div></div><div><br>
A minimum of 5 years of in-depth applications programming and design experience</div><div></div><div><b><br>
Required Skills</b></div><div><br>
&sect; Solid knowledge on Oracle E-Business Suite (ERP) processes around Procure to Pay and Order to Cash.</div><div>
&sect; Extensive knowledge on Oracle EBS R12 application schema architecture.</div><div>
&sect; Functional and technical understanding on the Oracle modules: Oracle General Ledger, Accounts Payables, Accounts Receivables, E-Business Tax, Purchasing, iExpense, Project Accounting, HRMS, Inventory and Order Management</div><div>
&sect; Extensive knowledge on Oracle SQL, PL/SQL, OA Framework and BI Publisher tools</div><div>
&sect; Excellent analytical, problem solving, organizational, communication and interpersonal skills</div><div>
&sect; Extensive knowledge of applicable programming languages, tools, and other applicable information technologies</div><div>
&sect; Extensive knowledge of programming methodology, test plan development, development life cycle and testing methods</div><div>
&sect; Extensive unit and system testing experience</div><div></div><div><b><br>
Preferred Skills</b></div><div></div><div><br>
&sect; Experience in the design and implementation of complex business applications</div><div>
&sect; Experience in leading projects</div><div>
&sect; Knowledge around Artificial Intelligence powered tools is a plus</div><p></p><p><br>
Rate of pay may be adjusted based on the qualifications and experience of the candidate.</p><p>
USG employees enjoy a number of benefit options for themselves and their families. These include two medical insurance options, as well as vision and dental coverage. The cost of these optional programs varies based on coverage level - employees generally pay 25% of the monthly premium cost, USG pays the rest. These coverage options are offered on the first day of employment with no waiting period.</p><p><br>
Additionally, USG employees enjoy both a 401(k) Investment Plan with company match and a pension plan. Beyond these main features, employees may also choose from a number of additional programs like life insurance, accident insurance, legal insurance, even pet insurance, just to name a few. USG also offers Quarterly (hourly) / Annual (salary) bonus potential for all employees based on performance metrics tied to safety, quality, and productivity. USG also provides employees with paid time off and paid holidays.</p><p></p><p><i>
Since 1902, Chicago-based USG has been a leader in producing innovative, award-winning products and systems to build everything from major commercial developments and residential housing to home improvements. USG's employees are committed to the highest levels of customer satisfaction and quality in everything we do. Our steadfast commitment to the company's core business values &ndash; innovation, quality, integrity, service, diversity, efficiency and safety &ndash; have helped us become the company we are today.</i></p><p><br>
 <i>EOE including disability/veteran</i></p></div>

IT Systems Designer 2

QUAD

<div><div>Rise is an <b>award-winning</b>, full-service <b>Media Agency of Record</b> that is backed by data and powered by people. We create omnichannel experiences using our proprietary tech stack and advanced analytics capabilities to help solve the unique struggles brands face today. This approach, with <b>transparency at its core</b>, specializes in omnichannel media, commerce and retail media, advanced in-home media, as well as content and creator marketing.<br>
</div><div></div><br>
<div>We offer &quot;Risers&quot; the opportunity to work in an ever-evolving industry that will foster learning and development, provide an innovative work environment with diverse projects and clients, career advancement paths a collaborative team environment, corporate social responsibility initiatives, an inclusive and diverse culture, plus association with a reputable media agency. We're looking for talent like you who can continue to elevate our work and culture.<br>
</div><br>
<p><b>General Purpose of Job:</b></p>
<p>
The Director, Investment, Digital provides senior leadership to the team responsible for placing, confirming and monitoring digital media orders to ensure the clients&rsquo; advertising program is executed flawlessly. The successful Director provides a high level of media expertise to assigned accounts as the functional leader of the team, and by navigating the complexities of digital advertising to provide a seamless, accurate, and accountable media experience for internal and external clients. The Director provides ongoing communication, consulting, insight, analysis, and recommendations regarding digital media, including emerging trends. The Director is also responsible for identifying and developing the talent needed to function as a high-performing team.</p>
<p><b>
Location: Chicago, 4 days in office</b></p>
<p><b>
Key Responsibilities:</b></p>
<ul>
<li>Develop comprehensive digital marketing plans that incorporate paid digital media (programmatic, search, social</li>
<li>media) and other relevant channels to drive client success.</li>
<li>Lead a team of managers and staff responsible for delivering exceptional results across several clients.</li>
<li>Educate, ideate and support training teams in the development of digital strategies, best practices, and idea</li>
<li>generation; ensure teams are set-up to support the media planning and buying process including research, plan</li>
<li>development, campaign set-up, launch, and optimization.</li>
<li>Oversee agency processes to ensure execution, optimization, and best practices are followed across teams; collaborate</li>
<li>with leadership and peers to identify and develop new workflow processes, as needed, that will enhance our</li>
<li>operational efficiency, tools, and systems, and improve current workflows</li>
<li>Create and manage the development of media strategy and recommendations; participate in the development and</li>
<li>presentation of client proposals, including the roles of different digital channels within a connections strategy</li>
<li>Provide proactive POV documentation regarding important industry trends for key internal and external stakeholders</li>
<li>Keep a finger on the pulse of the ever-changing landscape of digital advertising, including new technology, AI and</li>
<li>evolving platforms</li>
<li>Ensure infrastructure exists to facilitate digital campaigns with flawless execution of assigned media buys</li>
<li>Primary focus on digital strategy, marketplace intelligence, and thought leadership for all client relationships</li>
<li>Lead advancements in the analysis and interpretation of data trends and develop improvement solutions; educate</li>
<li>executive stakeholders internally and externally on changes to marketplace conditions</li>
<li>Represent agency to senior vendor contacts to analyze value and applicability of media vehicles/tactics for plan</li>
<li>consideration</li>
<li>Participate in new business activities and pitches, as assigned, including the development of RFP responses, proposals</li>
<li>and presentations</li>
<li>Responsible for managing a team of direct reports (remote and across all Rise locations) with accountability for all aspects of team oversight, including employee onboarding, employee training, employee performance (accountability and behavior), employee retention</li>
<li>Effectively motivate, lead and train team members while fostering accountability and ownership; marshal resources, as necessary, to ensure work is completed accurately and timely</li>
<li>Create, implement and support operational best practices across the team and within the department &middot;</li>
 <li>Support new client onboarding efforts as directed by leadership</li>
</ul>
<p><b>Job Requirements:</b></p>
<p><b>
Education: </b>Bachelor&rsquo;s degree (communications, marketing, advertising, or business preferred)</p>
<p><b>
Experience:</b></p>
<ul>
<li>10 years relevant work experience in digital media planning, buying or execution. Agency experience a plus.</li>
<li>7 years of managing high performing teams or equivalent professional training</li>
</ul>
<p><b>Certificates, Licenses, Registrations: </b>Certificates in Google Ads, Google Marketing Platform, Google Analytics, The Trade Desk Edge, Facebook Blueprint, Microsoft Ads and IAB Digital Media Planning &amp; Buying strongly preferred</p>
<p><b>
Knowledge, Skills &amp; Abilities:</b></p>
<ul>
<li>Understanding of digital media platform management tools. Experience with Google Marketing Platform, Google Ads, The</li>
<li>Trade Desk and Facebook Business Manager required</li>
<li>Expert understanding and thought leadership of the role / importance of programmatic, paid social and paid search within a</li>
<li>media plan</li>
<li>Expert knowledge of the different ways digital media is bought, including deep experience with direct buying and vendor</li>
<li>negotiations</li>
<li>Expertise in identifying, forecasting, and formulating POV documents regarding emerging trends in the digital marketing /</li>
<li>media ecosystem</li>
<li>Strong analytical capabilities with aptitude for determining the optimal ways to setup, deliver, troubleshoot, and QA campaigns</li>
<li>across entire digital team</li>
<li>Comfortable in both strategic and executional roles, with the flexibility to adapt to changing priorities and demands.</li>
<li>Passion for a purpose-driven, team oriented, client-first, cross-functional culture</li>
<li>Ability to identify / recruit / retain top talent; experience positively managing personnel issues</li>
<li>Possess a desire for excellence and a passion to succeed in a rapid-paced, deadline-committed environment where everyone is</li>
<li>expected to be hands-on</li>
<li>Demonstrated critical thinking and problem-solving abilities; ability to convert and implement client direction into insights and</li>
<li>meaningful business impacts</li>
<li>Superior oral and written communication skills with the ability to articulate complex digital strategies to VP and C-suite</li>
<li>executives internally and externally; focused on fostering strong, collaborative relationships</li>
<li>High comfort level leading brainstorms and ideation, with an eye on follow-through and executional excellence</li>
<li>Ability to articulate and implement leadership and management styles to provide structure to digital team for optimal success</li>
<li>Dedication to completing projects and tasks with passion and a relentless pursuit of excellence; ability to excel in a complex and</li>
<li>changing marketplace</li>
<li>Excellent presentation skills with both colleagues and clients. Experience presenting on bi-weekly performance calls, QBRs and</li>
<li>pitches</li>
<li>Self-motivated and creative strategic thinker who thrives in fast-paced environment</li>
</ul>
<p><b>Employees can be expected to be paid an annualized salary range of $115,000-$130,000, based on variations in knowledge, skills, experience and market</b><br>
<b>conditions.</b></p>
<p><i>
#LI-DP1</i></p><div><br>
Rise and Quad are proud to be an equal opportunity employers. We are committed to creating a place of belonging &mdash; a space where employees do not need to sacrifice who they are to exist and grow in our workplace. Rise and Quad do not discriminate on any unlawful basis including race, religion, color, national origin, disability, gender, gender identity, sexual orientation, age, marital status, veteran status, genetic information, or any other basis prohibited by applicable federal, state, or local laws. Rise and Quad also prohibit harassment of applicants and employees based on any of these protected categories.</div></div>

Director, Investment, Digital

<div><div>Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.<br>
<br>
Join our team as the expert you are now and create your future.</div><div></div>
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation, and navigate constant change. We're seeking a Machine Learning Engineering Manager to join the Data Science &amp; Machine Learning team in our Commercial Digital practice, where you'll lead the design, development, and deployment of intelligent systems that solve complex business problems across Financial Services, Manufacturing, Energy &amp; Utilities, and other commercial industries.<br>
<br>
Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Remarkably versatile, our Managers also spend significant time mentoring junior staff on the engagement team&mdash;sharing expertise, feedback, and encouragement. This promote<br>
s a culture of respect, unity, collaboration, and personal achievement.<br>
<br>
This isn't a research role or a support function&mdash;you'll own the full ML solution lifecycle from problem definition through production deployment, while leading and developing a team of engineers and data scientists. You'll work on systems that matter: forecasting models that inform multi-million-dollar decisions, agentic AI systems that automate complex workflows, and operational ML solutions that transform how enterprises run. Our clients are Fortune 500 companies looking for partners who can deliver, not just advise.<br>
<br>
The variety is real. In your first year, you might lead an agentic demand forecasting system for a global manufacturer, oversee an intelligent knowledge processing pipeline for a financial services firm, and architect an energy grid demand simulation model for a utilities company&mdash;all while developing the next generation of ML talent at Huron. If you thrive on learning new domains quickly, shipping intelligent production systems, and building high-performing teams, this role is for you.<div></div><div>
What You'll Do</div><ul><li>
Lead and mentor junior ML engineers and data scientists&mdash;provide technical guidance, conduct code reviews, and support professional development. Foster a culture of continuous learning and high-quality engineering practices within the team.</li><li>
Manage complex multi-workstream ML projects&mdash;oversee project planning, resource allocation, and delivery timelines. Ensure projects meet quality standards and client expectations while maintaining technical excellence.</li><li>
Design and architect end-to-end ML solutions&mdash;from data pipelines and feature engineering through model training, evaluation, and production deployment. Make key technical decisions and own the overall solution architecture.</li><li>
Lead development of both traditional ML and generative AI systems, including supervised/unsupervised learning, time-series forecasting, NLP, LLM applications, RAG architectures, and agent-based systems using frameworks like Agent Framework, LangChain, LangGraph, or similar.</li><li>
Build financial and operational models that drive business decisions&mdash;demand forecasting, pricing optimization, risk scoring, anomaly detection, and process automation for commercial enterprises.</li><li>
Establish MLOps best practices&mdash;define and implement CI/CD pipelines, model versioning, monitoring, drift detection, and automated retraining standards to ensure solutions remain reliable in production.</li><li>
Serve as a trusted advisor to clients&mdash;build long-standing partnerships, understand business problems, translate requirements into technical solutions, and communicate results to both technical and executive audiences.</li><li>
Contribute to practice development&mdash;participate in business development activities, develop reusable assets and methodologies, and help shape the technical direction of Huron's DSML capabilities.</li></ul><div></div><div>
Required Qualifications</div><ul><li>
5+ years of hands-on experience building and deploying ML solutions in production&mdash;not just notebooks and prototypes. You've trained models, put them into production, and maintained them at scale.</li><li>
Experience leading and developing technical teams&mdash;including coaching, mentorship, code review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent.</li><li>
Strong Python and JavaScript programming skills with deep experience in the ML ecosystem (NumPy, Pandas, Scikit-learn, PyTorch or TensorFlow, etc.) and proficiency with JavaScript web app development.</li><li>
Solid foundation in ML fundamentals: supervised and unsupervised learning, model evaluation, feature engineering, hyperparameter tuning, and understanding of when different approaches are appropriate.</li><li>
Experience with cloud ML platforms, particularly Azure Machine Learning, with working knowledge of AWS SageMaker or Google AI Platform. We're platform-flexible but Microsoft-preferred.</li><li>
Proficiency with data platforms: SQL, Snowflake, Databricks, or similar. You're comfortable working with large datasets and architecting data pipelines.</li><li>
Experience with LLMs and generative AI: prompt engineering, fine-tuning, embeddings, RAG systems, or agent frameworks. You understand both the capabilities and limitations.</li><li>
Excellent communication and client management skills&mdash;ability to communicate technical concepts to non-technical stakeholders, lead client meetings, and build trusted relationships with executive audiences.</li><li>
Bachelor's degree in Computer Science, Engineering, Mathematics, Physics, or related quantitative field (or equivalent practical experience).</li><li>
Willingness to travel approximately 30% to client sites as needed.</li></ul><div></div><div>
Preferred Qualifications</div><ul><li>
Experience in Financial Services, Manufacturing, or Energy &amp; Utilities industries.</li><li>
Background in forecasting, optimization, or financial modeling applications.</li><li>
Experience with deep learning frameworks such as PyTorch, Tensorflow, fastai, DeepSpeed, etc.</li><li>
Experience with MLOps tools such as MLflow and Weights &amp; Biases.</li><li>
Contributions to open-source projects or familiarity with open-source ML tools and frameworks.</li><li>
Experience building agentic AI systems using Agent Framework (or predecessors), LangChain, LangGraph, CrewAI, or similar frameworks.</li><li>
Cloud certifications (Azure AI Engineer, AWS ML Specialty, or Databricks ML Associate).</li><li>
Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces.</li><li>
Master's degree or PhD in a quantitative field.</li></ul><div></div><div>
Why Huron</div><div>
Variety that accelerates your growth. In consulting, you'll work across industries and problem types that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy &amp; Utilities, and more&mdash;each engagement is a new domain to master and a new system to ship.</div><div>
Impact you can measure. Our clients are Fortune 500 companies making significant investments in AI. The models you build will inform real decisions&mdash;production schedules, pricing strategies, risk assessments, capital allocation. You'll see your work drive outcomes.</div><div>
A team that builds. Huron's Data Science &amp; Machine Learning team is a close-knit group of practitioners, not just advisors. We write code, train models, and deploy systems. You'll work alongside engineers and data scientists who understand the craft and push each other to improve.</div><div>
Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles.</div><div></div><div>
Position Level</div>
Manager<div></div><div>
Country</div>
United States of America</div>

Machine Learning Engineer (Manager)

<div><div>Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.<br>
<br>
Join our team as the expert you are now and create your future.</div><div></div>
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation, and navigate constant change. We're seeking a Data Science Manager to join the Data Science &amp; Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy &amp; Utilities, and other commercial industries.<br>
<br>
Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team&mdash;sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.<br>
<br>
This isn't a reporting role or a dashboard factory&mdash;you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.<br>
<br>
The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data&mdash;all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.<div></div><div>
What You'll Do</div><ul><li>
Lead and mentor junior data scientists and analysts&mdash;provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team.</li><li>
Manage complex multi-workstream analytics projects&mdash;oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor.</li><li>
Design and execute end-to-end data science workflows&mdash;from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible.</li><li>
Lead development of both traditional statistical and modern AI-powered analyses&mdash;including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis.</li><li>
Build predictive and prescriptive models that drive business decisions&mdash;customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises.</li><li>
Translate complex analytical findings into actionable insights&mdash;create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions.</li><li>
Serve as a trusted advisor to clients&mdash;build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value.</li><li>
Contribute to practice development&mdash;participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.</li></ul><div></div><div>
Required Qualifications</div><ul><li>
5+ years of hands-on experience conducting data science and advanced analytics&mdash;not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact.</li><li>
Experience leading and developing technical teams&mdash;including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent.</li><li>
Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks.</li><li>
Solid foundation in statistics and machine learning: hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions.</li><li>
Experience with deep learning and modern neural architectures&mdash;understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows.</li><li>
Proficiency with data platforms: Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance.</li><li>
Exceptional communication and data storytelling skills&mdash;ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable.</li><li>
Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience).</li><li>
Willingness to travel approximately 30% to client sites as needed.</li></ul><div></div><div>
Preferred Qualifications</div><ul><li>
Experience in Financial Services, Manufacturing, or Energy &amp; Utilities industries.</li><li>
Background in experimental design, A/B testing, and causal inference methodologies&mdash;including propensity score matching, difference-in-differences, or instrumental variables.</li><li>
Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures&mdash;including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications.</li><li>
Experience building AI-assisted analytical workflows&mdash;leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data.</li><li>
Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts.</li><li>
Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc.</li><li>
Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications.</li><li>
Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty).</li><li>
Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces.</li><li>
Master's degree or PhD in Statistics, Applied Mathematics, Economics, or related quantitative field.</li></ul><div></div><div>
Why Huron</div><div>
Variety that accelerates your growth. In consulting, you'll work across industries and analytical challenges that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy &amp; Utilities, and more&mdash;each engagement is a new domain to master and a new problem to crack.</div><div>
Impact you can measure. Our clients are Fortune 500 companies making significant investments in analytics and AI. The insights you generate will inform real decisions&mdash;pricing strategies, customer segmentation, operational improvements, strategic investments. You'll see your analysis drive outcomes.</div><div>
A team that thinks deeply. Huron's Data Science &amp; Machine Learning team is a close-knit group of practitioners, not just advisors. We develop hypotheses, analyze data, and deliver insights that hold up to scrutiny. You'll work alongside data scientists and engineers who care about getting the answer right and telling the story clearly.</div><div>
Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles.</div><div></div><div>
Position Level</div>
Manager<div></div><div>
Country</div>
United States of America</div>

Data Scientist (Manager)

<div><div>Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future.<br>
<br>
Join our team as the expert you are now and create your future.</div><div></div>
Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation, and navigate constant change. We're seeking a Data Engineering Manager to join the Data Science &amp; Machine Learning team in our Commercial Digital practice, where you'll lead the design, development, and delivery of data infrastructure that powers intelligent systems across Financial Services, Manufacturing, Energy &amp; Utilities, and other commercial industries.<br>
<br>
Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team&mdash;sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.<br>
<br>
This isn't a maintenance role or a ticket queue&mdash;you'll own the full data lifecycle from source integration through analytics-ready delivery, while leading and developing a team of data engineers. You'll build systems that matter: real-time data architectures that feed mission-critical ML models, transformation layers that turn messy enterprise data into trusted datasets, and orchestration systems that ensure reliability at scale. Our clients are Fortune 500 companies looking for partners who can engineer and lead, not just advise.<br>
<br>
The variety is real. In your first year, you might lead a lakehouse implementation for a global manufacturer's IoT data, oversee a real-time streaming architecture for a financial services firm's trading analytics, and architect a data mesh strategy for a utility company's distribution systems&mdash;all while developing the next generation of data engineering talent at Huron. If you thrive on solving complex data challenges, shipping production systems, and building high-performing teams, this role is for you.<div></div><div>
What You'll Do</div><ul><li>
Lead and mentor junior data engineers&mdash;provide technical guidance, conduct code reviews, and support professional development. Foster a culture of continuous learning and high-quality engineering practices within the team.</li><li>
Manage complex multi-workstream data engineering projects&mdash;oversee project planning, resource allocation, and delivery timelines. Ensure projects meet quality standards and client expectations while maintaining technical excellence.</li><li>
Design and architect end-to-end data solutions&mdash;from source extraction and ingestion through transformation, quality validation, and delivery. Make key technical decisions and own the overall data architecture.</li><li>
Lead development of modern data transformation layers using dbt&mdash;implementing modular SQL models, testing frameworks, documentation, and CI/CD practices that ensure data quality and maintainability at scale.</li><li>
Architect lakehouse solutions using open table formats (Delta Lake, Apache Iceberg) on Microsoft Fabric, Snowflake, and Databricks&mdash;designing schemas, optimizing performance, and implementing governance frameworks.</li><li>
Establish DataOps best practices&mdash;define and implement CI/CD pipelines for data assets, data quality monitoring, observability, lineage tracking, and automated testing standards to ensure data infrastructure remains reliable in production.</li><li>
Serve as a trusted advisor to clients&mdash;build long-standing partnerships, understand business problems, translate data requirements into technical solutions, and communicate architecture decisions to both technical and executive audiences.</li><li>
Contribute to business development&mdash;participate in business development activities, develop reusable assets and methodologies, and help shape the technical direction of Huron's data engineering capabilities.</li></ul><div></div><div>
Required Qualifications</div><ul><li>
5+ years of hands-on experience building and deploying data pipelines in production&mdash;not just ad-hoc queries and exports. You've built ETL/ELT systems that run reliably, scale, and are maintained over time.</li><li>
Experience leading and developing technical teams&mdash;including coaching, mentorship, code review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent.</li><li>
Strong SQL and Python programming skills with deep experience in PySpark for distributed data processing. SQL for analytics and data modeling; Python/PySpark for pipeline development and large-scale transformations.</li><li>
Experience building data pipelines that serve AI/ML systems, including feature engineering workflows, vector embeddings for retrieval-augmented generation (RAG), and data quality frameworks that ensure model reproducibility. Familiarity with emerging agent integration standards such as MCP (Model Context Protocol) and A2A (Agent-to-Agent), and the ability to design data services and APIs that can be discovered and consumed by autonomous AI agents.</li><li>
Experience with modern data transformation tools, dbt particularly. You understand modular SQL development, testing, documentation practices, and how to implement these at scale across teams.</li><li>
Experience with cloud data platforms and lakehouse architectures&mdash;Snowflake, Databricks, Microsoft Fabric, and familiarity with open table formats (Delta Lake, Apache Iceberg). We're platform-flexible but Microsoft-preferred.</li><li>
Proficiency with workflow orchestration tools such as Apache Airflow, Dagster, Prefect, or Microsoft Data Factory. You understand DAGs, scheduling, dependency management, and how to design reliable orchestration at scale.</li><li>
Solid foundation in data modeling concepts: dimensional modeling, data vault, normalization/denormalization, and understanding of when different approaches are appropriate for different use cases.</li><li>
Excellent communication and client management skills&mdash;ability to communicate technical concepts to non-technical stakeholders, lead client meetings, and build trusted relationships with executive audiences.</li><li>
Bachelor's degree in Computer Science, Engineering, Mathematics, or related technical field (or equivalent practical experience).</li><li>
Willingness to travel approximately 30% to client sites as needed.</li></ul><div></div><div>
Preferred Qualifications</div><ul><li>
Experience in Financial Services, Manufacturing, or Energy &amp; Utilities industries.</li><li>
Background in building data infrastructure for ML/AI systems&mdash;feature stores (Feast, Databricks Feature Store), training data pipelines, vector databases for RAG/LLM workloads, or model serving architectures.</li><li>
Experience with real-time and streaming data architectures using Kafka, Spark Streaming, Flink, or Azure Event Hubs, including CDC patterns for data synchronization.</li><li>
Familiarity with MCP (Model Context Protocol), A2A (Agent-to-Agent), or similar standards for AI system data integration.</li><li>
Experience with data quality and observability frameworks such as Great Expectations, Soda, Monte Carlo, or dbt tests at enterprise scale.</li><li>
Knowledge of data governance, cataloging, and lineage tools (Unity Catalog, Purview, Alation, or similar).</li><li>
Experience with high-performance Python data tools such as Polars or DuckDB for efficient data processing.</li><li>
Cloud certifications (Snowflake SnowPro, Databricks Data Engineer, Azure Data Engineer, or AWS Data Analytics).</li><li>
Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new problem spaces.</li><li>
Contributions to open-source data engineering projects or active participation in the dbt/data community.</li><li>
Master's degree or PhD in a technical field.</li></ul><div></div><div>
Why Huron</div><div>
Variety that accelerates your growth. In consulting, you'll work across industries and data architectures that would take a decade to encounter at a single company. Our Commercial segment spans Financial Services, Manufacturing, Energy &amp; Utilities, and more&mdash;each engagement is a new data ecosystem to master and a new platform to ship.</div><div>
Impact you can measure. Our clients are Fortune 500 companies making significant investments in data infrastructure. The pipelines you build will power real decisions&mdash;the ML models that drive production schedules, the dashboards that inform pricing strategies, the data products that enable self-service analytics. You'll see your work become the foundation others build on.</div><div>
A team that builds. Huron's Data Science &amp; Machine Learning team is a close-knit group of practitioners, not just advisors. We write code, build pipelines, and deploy platforms. You'll work alongside engineers and data scientists who understand the craft and push each other to improve.</div><div>
Investment in your development. We provide resources for continuous learning, conference attendance, and certification. As our DSML practice grows, there's significant opportunity to take on technical leadership, shape our capabilities, and advance to senior leadership roles.</div><div></div><div>
Position Level</div>
Manager<div></div><div>
Country</div>
United States of America</div>

Data Engineer (Manager)

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