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principal, data analytics engineering

director ai data engineering

The Hartford

<div>Dir Data Engineering - GE06AE<p></p><p>
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future.</p><p></p><p><br>
The Employee Benefits Data team is looking to hire a Director, AI Data Engineering, to join our team. This role requires strategic thinking, expertise in data engineering practices, knowledge of AI technologies, The candidate should be versed in real-time data streaming, agentic frameworks, Data APIs, vector stores, and RAG architectures, and have a track record of enabling self-serve analytics and AI use cases. This role will be a hands on leadership role.</p><p></p><p>
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. <b><i>Must be eligible to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position</i></b></p><p></p><p><b>
Responsibilities:</b></p><ul><li>
Lead Execution of a complex and large Data and Analytics portfolio.</li><li>
Data Modernization: Develop and implement a strategic roadmap to modernize legacy data and analytics ecosystems using Cloud and AI. Solve for data complexity by enabling data domains and data products for all consumption architypes and stakeholders including reporting, data science, AI/ML and analytics.</li><li>
Architecture and Solution: Ensure data architecture and solutions align with enterprise-wide standards for Data, AI and Analytics.</li><li>
Effectively communicate strategy, execution progress, and outcomes to diverse stakeholders and promote data capabilities through thought leadership and presentations.</li><li>
AI Data Engineering leader responsible for Implementing AI data pipelines that integrate structured, semi-structured, and unstructured data to support AI and Agentic solutions.</li><li>
Real-Time Data Streaming: Design, build and maintain scalable real-time data pipelines for efficient ingestion, processing, and delivery.</li><li>
Drive best practices in AI data engineering by establishing standardized processes, promoting cutting-edge technologies, and ensuring data quality and compliance across the enterprise.</li><li>
Data and Analytics Management: Oversee the design, development, and maintenance of data pipelines, data warehouses, data lakes and reporting systems.</li><li>
Expertise in data engineering practices, knowledge of AI technologies, and the ability to lead cross-functional teams. Expertise in real-time data streaming, agentic frameworks, Data APIs, vector stores, and RAG architectures, self-serve analytics and AI.</li><li>
Leadership: Build, mentor, and lead a high-performing team including business data analysts, data engineers and release train engineers.</li><li>
Drive efficiency and Productivity: Identify and champion developer productivity improvements across the end-to-end data management lifecycle. This includes researching and implementing innovative solutions such as AI-driven auto-generation of data pipelines, advanced DevOps practices for data and automated data quality frameworks.</li><li>
Technology Evaluation &amp; Adoption: Stay current with emerging trends in data engineering and AI/ML, design prototypes and conduct experiments, and recommend innovative tools and technologies to enhance data capabilities enabling business strategy.</li><li>
Data Governance, Stewardship and Quality: Define and implement robust data management frameworks to ensure successful adoption of Enterprise Data Governance and Data Quality practices.</li><li>
Budget Management: Effectively manage the budget and financials for the portfolio.</li><li>
Develop deep partnerships and alignment with the portfolio and agile value stream frameworks. Experience with Agile at Scale and iterative development through cross-functional teams.</li><li>
Partners with Technology, Data, AI Platform, ML Ops and Architecture teams to influence technology, data, platform and tooling strategy.</li></ul><h3 class="jobSectionHeader"><b>
Qualifications:</b></h3><ul><li>
12+ years in data engineering, data management and building large-scale data ecosystems.</li><li>
Bachelor's or Master&rsquo;s degree in Computer Science, Data Science or a related field.</li><li>
3+ years in senior leadership roles managing large and complex data and analytics portfolio with large size teams.</li><li>
Proven strategic and innovative thinker with a track record of enabling transformative data capabilities.</li><li>
Mastery level data engineering and architecture skills, including deep expertise in data architecture patterns, data warehouse, data integration, data lakes, data domains, data products, business intelligence, and cloud technology capabilities along with data governance</li><li>
Technical expertise in LLMs, AI platforms, prompt engineering, LLM optimization, Retrieval-Augmented Generation (RAG) architectures and vector database technologies (Vertex AI, Postgres, OpenSearch, Pinecone etc.).</li><li>
Experience with ETL required</li><li>
Strong experience with GCP, Vertex AI or AWS required.</li><li>
Experience in multi cloud environment.</li><li>
Experience in Lang chain, AI agents, Vertex AI and Google Agent ecosystem.</li><li>
Strong experience with the design and development of complex data ecosystems leveraging next-generation cloud technology stack across AWS or GCP Cloud and Snowflake.</li><li>
Exceptional presentation and verbal/written communication skills; must be able to communicate effectively at all levels across the organization.</li><li>
Ability to lead successfully in a lean, agile, and fast-paced organization, leveraging Scaled Agile principles and ways of working.</li><li>
Excellent negotiation, influencing, and conflict resolution skills; adept at building strong cross-functional relationships.</li><li>
Preferred experience in the Property &amp; Casualty insurance industry.</li></ul><p></p><p><b>
Compensation</b></p><p>
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:</p><p></p>
$156,000 - $234,000<p></p><p>
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p><p></p><p>
About Us | Our Culture | What It&rsquo;s Like to Work Here | Perks &amp; Benefits</p></div><p></p>

Director, AI Data Engineering

BMO US

320 S Canal Street Chicago Illinois,60606
<br>
<div><p><b>About the Team</b></p><p>
BMO&rsquo;s Applied AI team sets the standard for safe, high-performing AI systems across the bank, building BMO&rsquo;s leading-edge AI products and capabilities. Our work enables BMO&rsquo;s strategic outcomes, bridging business needs with scalable and responsible AI. If you thrive on technical challenges and want to make a strategic impact, this role is for you.</p><div></div><p><b>
About the Role</b></p><p>
As an Engineering &amp; Data Science Specialist in Applied AI Evaluations, you will design, implement, and optimize evaluation frameworks and pipelines that measure the quality, safety, and performance of advanced AI systems at BMO. You&rsquo;ll work closely with the Product Owner and collaborate with engineering, research, and business teams to translate evaluation standards into robust, scalable solutions.</p><p>
Your work will directly impact model development, deployment, and continuous improvement cycles&mdash;ensuring that evaluation signals are deeply integrated into experimental and production systems. You&rsquo;ll contribute to the development of reusable tools, agents, and harnesses that support responsible AI practices and regulatory compliance.</p><div></div><p><b>
Key Responsibilities</b></p><ul><li>
Develop, implement, and maintain evaluation pipelines and harnesses for AI models, ensuring reliability, reproducibility, and scalability for banking applications.</li><li>
Collaborate with the Product Owner to translate evaluation standards and business requirements into technical solutions.</li><li>
Prototype and validate evaluation methods using real banking workflows, integrating feedback into model training and deployment.</li><li>
Integrate evaluation metrics and signals into research, training, and production systems to drive measurable improvements in model performance and customer outcomes.</li><li>
Partner with engineering, research, and product teams to shape model interaction paradigms and deployment strategies.</li><li>
Build reusable tools and systems that enable contributions from across BMO and raise the quality bar for AI solutions.</li><li>
Ensure all evaluation frameworks adhere to regulatory, compliance, and Responsible AI requirements.</li><li>
Document processes, share knowledge, and contribute to a culture of continuous learning and responsible innovation.</li></ul><div></div><p><b>
Qualifications</b></p><ul><li>
3+ years of experience in engineering or data science roles, preferably in AI, machine learning, or data-driven product environments.</li><li>
Strong programming skills (e.g., Python, Java, or similar) and experience with ML/AI frameworks (e.g., PyTorch, TensorFlow).</li><li>
Experience building and maintaining evaluation pipelines for large language models (LLMs) and/or other AI systems, including multi-agent workflows, tool use, or long-context scenarios.</li><li>
Solid understanding of deep learning concepts, model training, and deployment practices.</li><li>
Familiarity with MLOps, CI/CD, and cloud-based AI infrastructure is a plus.</li><li>
Strong analytical and problem-solving skills, with the ability to communicate technical concepts to both technical and non-technical audiences.</li><li>
Motivated by high-impact collaboration and able to thrive in fast-paced, ambiguous environments.</li><li>
Commitment to BMO&rsquo;s values of inclusion, integrity, and responsible innovation.</li></ul>
<p><b>Salary:</b></p><p>
$122,400.00 - $228,000.00</p><p><b>
Pay Type:</b></p><p>
Salaried</p><p>
The above represents BMO Financial Group&rsquo;s pay range and type.</p><p>
Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group&rsquo;s expected target for the first year in this position.</p><p>
BMO Financial Group&rsquo;s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: https://jobs.bmo.com/global/en/Total-Rewards</p>
<p><b>About Us</b></p><p>
At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.</p><p>
As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one &ndash; for yourself and our customers. We&rsquo;ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we&rsquo;ll help you gain valuable experience, and broaden your skillset.</p><p>
To find out more visit us at https://jobs.bmo.com/us/en
</p><p>BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law.</p><p>
BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to BMOCareers.Support@bmo.com and let us know the nature of your request and your contact information.</p><p>
Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.</p></div>

Engineering & Data Science Specialist, Applied AI Evaluations

Cabrera Capital Markets LLC

<div><p>We are seeking an experienced and visionary Director of Programming to lead our programming team and drive technology solutions that enhance efficiency, accuracy, and innovation across the firm. This individual will oversee the development, deployment, and optimization of programming tools and workflows supporting critical functions in Equities, Fixed Income, Municipal Bonds, Origination &amp; Investment Banking, Accounting, Operations, and Management.</p><p>
The ideal candidate will bring deep industry experience, strong programming expertise, and demonstrated ability to build, mentor, and scale technical teams.</p><p><b>
Essential Duties And Responsibilities</b></p><ul><li>
Provide strategic leadership and direction for the programming team, ensuring alignment with firm-wide business objectives.</li><li>
Oversee the design, development, and deployment of programming solutions to automate workflows, improve data integrity, and drive decision-making.</li><li>
Partner with senior leaders across business units (Equities, Fixed Income, Origination, etc.) to understand technical needs and deliver impactful solutions.</li><li>
Build and manage a high-performing programming team: recruiting, mentoring, and providing career development opportunities.</li><li>
Ensure best practices in code management, data security, documentation, and process standardization.</li><li>
Lead the adoption of new technologies, tools, and methodologies to stay ahead of industry standards.</li><li>
Manage projects end-to-end, ensuring delivery within timelines and budgets.</li><li>
Represent the programming function in executive discussions and provide insights on technology strategy.</li><li>
All other duties as assigned</li></ul><ul><li>
Advanced programming expertise in Python (pandas, NumPy, automation scripting); experience with SQL and data visualization tools.</li><li>
Proven leadership experience managing technical teams in financial services, capital markets, or related industries.</li><li>
Strong understanding of financial workflows, trading systems, and regulatory requirements.</li><li>
Ability to translate complex technical concepts into business solutions for stakeholders.</li><li>
Excellent project management, communication, and decision-making skills.</li><li>
Knowledge of emerging technologies such as machine learning, AI, or cloud-based solutions preferred.</li></ul></div>

Director - Programming

<div>Sr Staff Data Engineer - GE07DE<p></p><p>
We&rsquo;re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals &ndash; and to help others accomplish theirs, too. Join our team as we help shape the future.</p><p></p><p><br>
The Enterprise Data Services Department&rsquo;s Customer Data Ecosystem Operations Team is looking for a skilled Sr. Staff AI Data Engineer (Tech Lead) to join our team. This is an exciting opportunity to join us on our multi-year Cloud Modernization journey. The role focuses on integrating data from multiple systems, curating and transforming it into high-quality data products for actionable insights, using a mix of solutions spanning AI and Cloud tools and technologies. You uphold data integrity, accessibility, and compliance while creating curated Data Products to support diverse analytics needs&mdash;including descriptive, diagnostic, predictive, and prescriptive use cases for visualization and advanced data science.</p><p></p><p>
Ideal candidates bring deep expertise in data engineering frameworks and tools (e.g., Spark, Snowflake), proficiency in programming languages (Python, SQL, PL/SQL), and experience with DevOps / DataOps pipelines, cloud platforms (AWS services), and agile methodologies (Scrum, Kanban). Familiarity with data warehousing, streaming technologies, and modern architecture such as Lakehouse and Data Mesh is highly desirable. Strong problem-solving, communication, and collaboration skills are essential, along with a proactive mindset and the ability to thrive in complex, fast-paced environments.</p><p></p><p>
To succeed in this role, you should be a strong critical thinker, technical acumen and be able to derive the root causes of business problems.</p><p></p><p>
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).</p><p></p><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li><p>
Design, develop, and optimize ETL/ELT pipelines for both structured and unstructured data.</p></li><li><p>
Mentor junior team members and engage in communities of practice to deliver high-quality data and AI solutions while promoting best practices, standards, and adoption of reusable patterns.</p></li><li><p>
Partner with architects and stakeholders to influence and implement the vision of the AI and data pipelines while safeguarding the integrity and scalability of the environment.</p></li><li><p>
Ingest and process large-scale datasets into the Enterprise Data Lake and downstream systems.</p></li><li><p>
Curate and publish Data Products to support analytics, visualization, and machine learning use cases.</p></li><li><p>
Collaborate with data analysts, data scientists, and BI teams to build data models and pipelines for research, reporting, and advanced analytics.</p></li><li><p>
Apply best practices for data modeling, governance, and security across all solutions.</p></li><li><p>
Partner with cross-functional teams to ensure alignment and delivery of high-value outcomes.</p></li><li><p>
Monitor and fine-tune data pipelines for performance, scalability, and reliability.</p></li><li><p>
Automate auditing, balance, reconciliation, and data quality checks to maintain high data integrity.</p></li><li><p>
Develop self-healing pipelines with robust re-startability mechanisms for resilience.</p></li><li><p>
Schedule and orchestrate complex, dependent workflows using tools like MWAA, Autosys, or Control-M.</p></li><li><p>
Leverage CI/CD pipelines to enable automated integration, testing, and deployment processes.</p></li><li><p>
Lead Proof of Concepts (POCs) and technology evaluations to drive innovation.</p></li><li><p>
Develop AI-driven systems to improve data capabilities, ensuring compliance with industry best practices.</p></li><li><p>
Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure.</p></li><li><p>
Implement data observability practices to proactively monitor data health, lineage, and quality across pipelines, ensuring transparency and trust in data assets.</p></li></ul><p></p><p><b>
Required Skills &amp; Experience</b>:</p><ul><li><p>
Bachelor&rsquo;s or master&rsquo;s degree in computer science or a related discipline.</p></li><li><p>
5+ years of experience in data analysis, transformation, and development, with ideally 2+ years in the insurance or a related industry.</p></li><li><p>
3+ years of experience developing and deploying large-scale data and analytics applications on cloud platforms such as AWS and Snowflake.</p></li><li><p>
Strong proficiency in SQL, Python, and ETL tools such as Informatica IDMC for data integration and transformation (3+ years).</p></li><li><p>
Experience designing and optimizing data models for Data Warehouses, Data Marts, and Data Fabric, including dimensional modeling, semantic layers, metadata management, and integration for scalable, governed, and high-performance analytics (3+ years).</p></li><li><p>
3+ years of hands-on experience in processing large-scale structured and unstructured data in both batch and near-real-time environments, leveraging distributed computing frameworks and streaming technologies for high-performance data pipelines.</p></li><li><p>
Strong technical knowledge (AI solution leveraging Cloud and modern solutions)</p></li><li><p>
3+ years of experience in Agile methodologies, including Scrum and Kanban frameworks.</p></li><li><p>
2+ years of experience in leveraging DevOps pipelines for automated testing and deployment, ensuring continuous integration and delivery of data solutions.</p></li><li><p>
Proficient in data visualization tools such as Tableau and Power BI, with expertise in creating interactive dashboards, reports, and visual analytics to support data-driven decision-making.</p></li><li><p>
Ability to analyze source systems, provide business solutions, and translate these solutions into actionable steps.</p></li></ul><p></p><p><b>
Nice to Have</b></p><ul><li><p>
Certifications in AWS Data &amp; Analytics Services, Snowflake, and Informatica IDMC.</p></li><li><p>
Experience in building and integrating AI agents into data workflows.</p></li><li><p>
Strong knowledge of data governance, including metadata management and lineage tracking, with hands-on experience collaborating with the Data Governance Office.</p></li></ul><p></p><p><b>
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.</b></p><p></p><p><b>
Compensation</b></p><p>
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford&rsquo;s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:</p><p></p>
$135,040 - $202,560<p></p><p>
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age</p><p></p><p>
About Us | Our Culture | What It&rsquo;s Like to Work Here | Perks &amp; Benefits</p></div><p></p>

Senior Staff AI Data Engineer (Tech Lead)

Dentsu

<div>The purpose of this role is to lead and manage the implementation and execution of SEO strategies and the day-to-day communication with clients to help achieve their goals.<div></div><div>
Job Description:</div><div>
Merkle Cardinal Path, part of Dentsu Aegis Network, is a leading digital analytics and marketing firm focused on delivering insight, understanding and outcomes that create competitive advantage for our clients. We engage at the strategic, business, and technical levels to generate tangible and quantifiable value for our partners. Cardinal Path&rsquo;s mission is: To know. To Share. To be our Partners&rsquo; competitive advantage. And our company culture reflects the importance of our people&rsquo;s expertise, wellness, and happiness in everything we do.</div><div>
Role Overview</div><div>
We&rsquo;re looking for a data-savvy, AI-aware SEO Staff Consultant to support our growing SEO team. This role is ideal for someone who understands the evolving search landscape and is eager to apply both technical and content-driven strategies to improve organic visibility and performance.</div><div>
Key Responsibilities</div><ul><li><div>
Execute and support technical SEO audits; monitor site health, Core Web Vitals, and structured data implementation.</div></li><li><div>
Conduct advanced, intent-focused keyword research using industry-standard SEO tools and sources.</div></li><li><div>
Develop and implement internal and external linking strategies that align with semantic SEO and topical authority.</div></li><li><div>
Collaborate cross-functionally with content, UX, analytics, and development teams to ensure SEO is embedded in all digital initiatives.</div></li><li><div>
Stay ahead of algorithm updates and AI search trends, including voice search, and visual search optimization.</div></li><li><div>
Create and present performance reports using tools like Looker Data Studio; provide actionable insights based on data.</div></li><li><div>
Support content optimization with a focus on E-E-A-T principles, entity-based SEO, and user intent.</div></li><li><div>
Evaluate and test emerging SEO tools and AI technologies to improve workflow efficiency and performance.</div></li></ul><div>
Qualifications</div><ul><li><div>
Bachelor&rsquo;s degree or equivalent experience in digital marketing, communications, or a related field.</div></li><li><div>
2&ndash;4 years of hands-on SEO experience (agency or in-house).</div></li><li><div>
Strong understanding of modern SEO: semantic search, structured data, Core Web Vitals, and the implications of JavaScript heavy websites.</div></li><li><div>
Proficiency with tools like Screaming Frog, Ahrefs, Semrush, MajesticSEO and more for SEO workflows.</div></li><li><div>
Experience with GA4 (or other Analytics platforms such as Amplitude or Adobe),</div></li><li><div>
Google Search Console, Looker Studio. Familiarity with SQL or BigQuery is a plus.</div></li><li><div>
Comfortable working across CMS platforms (e.g., WordPress, Shopify, Contentful) and basic HTML/CSS.Strong communication skills with the ability to explain technical concepts to non-technical stakeholders.</div></li><li><div>
Bonus: Familiarity with AI content workflows, prompt engineering, or SEO</div></li><li><div>
automation tools.</div></li></ul><div><div>
The annual salary range for this position is ($51,000-$83,375). Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.</div></div><div><div>
Benefits available with this position include:</div></div><div><ul><li>Medical, vision, and dental insurance,</li></ul></div><div><ul><li>Life insurance,</li></ul></div><div><ul><li>Short-term and long-term disability insurance,</li></ul></div><div><ul><li>401k,</li></ul></div><div><ul><li>Flexible paid time off,</li></ul></div><div><ul><li>At least 15 paid holidays per year,</li></ul></div><div><ul><li>Paid sick and safe leave, and</li></ul></div><div><ul><li>Paid parental leave.</li></ul></div><div></div><div><div><br>
Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com.</div></div><div><div>
To begin the application process, please click on the &ldquo;Apply&rdquo; button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.</div></div><div><div>
#LI-MS3 #LI-Remote</div></div><div></div><div>
Location:</div>
Chicago<div></div><div>
Brand:</div>
Cardinal Path<div></div><div>
Time Type:</div>
Full time<div></div><div>
Contract Type:</div>
Permanent<div></div><div><div><div>
Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.</div></div><div></div><div><div><br>
Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to <div>ApplicantAccommodations@dentsu.com</div> by clicking on the link to let us know the nature of your accommodation request and your contact information. We are here to support you.</div></div></div></div>

Staff Consultant, SEO

Uber

<div><b>About the Role
</b><br>
<br>
Global Learning &amp; Development (L&amp;D) within Global Support Operations (GSO) is seeking a Program Manager to serve as the technology, strategy, and transformation partner for the Global L&amp;D function.
<br>
<br>
This role sits at the intersection of technology enablement, strategic planning, and organizational transformation, ensuring that the L&amp;D function keeps pace with the rapidly evolving learning landscape and industry best practices. You will drive digital transformation through the implementation of innovative tools and processes, establish governance and operational excellence frameworks, and partner with L&amp;D leadership to define and execute strategic priorities that shape the future of learning at Uber.
<br>
<br>
The ideal candidate will be strategic yet hands-on, with a balance of analytical thinking, executional rigor, and curiosity for how learning is evolving through AI, automation, and personalization. With thousands of support agents and learning partners across the globe, this role ensures that our L&amp;D function operates with strategic clarity, technological excellence, and future readiness.
<br>
<br>
<b>What You'll Do<br>
</b><br>
<br>
<ul><li>Strategy, Planning &amp; Transformation
</li></ul><ul><li>Serve as the strategy and planning arm of the Global L&amp;D function-owning annual goal-setting, OKR alignment, strategic roadmaps with L&amp;D leadership.
</li><li>Lead strategic transformation initiatives that modernize the L&amp;D function, aligning people, processes, and technology to meet global scalability and efficiency needs.
</li><li>Benchmark Uber's L&amp;D capabilities against industry standards and emerging trends (e.g., adaptive learning, AI-enabled performance support, skills-based learning ecosystems) to inform strategic decisions.
</li><li>Support the creation of a 3-5 year L&amp;D transformation roadmap, integrating technology modernization, data-led decision making, and learner experience innovation.
</li><li>Partner with cross-functional teams (Enablement, QA, Content, WFM, broader L&amp;D functions) to ensure L&amp;D priorities are embedded within GSO's broader transformation goals.
</li><li>Technology &amp; Operational Excellence
</li></ul><ul><li>Lead end-to-end implementation of L&amp;D technologies-from discovery and business case development to testing, deployment, adoption, and continuous improvement.
<br>
Build and scale governance and standardization frameworks for L&amp;D tools, systems, and processes to ensure global consistency and operational excellence.
</li><li>Manage vendor partnerships and compliance processes (TPRM, EngSec, Legal, Procurement), ensuring Uber's data and security standards are upheld.
</li><li>Leverage AI and automation to optimize learning delivery, personalization, and content lifecycle management.
</li><li>Partner with the Global Learning Operations Lead to evolve operational models, streamline workflows, and establish global best practices for delivery, deployment, and measurement.
</li><li>Innovation &amp; Continuous Improvement
</li></ul><ul><li>Conduct research, data analysis, and user testing to evaluate L&amp;D processes, tools, and learner experiences.
</li><li>Introduce industry-leading methodologies such as learning experience design, skills intelligence, and digital adoption frameworks to drive continuous improvement.
</li><li>Partner with Product, Engineering, and Data Science teams to identify opportunities for GenAI integration, analytics automation, and insights generation within L&amp;D.
</li><li>Build a culture of data-driven decision-making by operationalizing metrics on adoption, efficiency, quality, and learner impact.
</li><li>Champion experimentation through A/B testing and pilot programs, scaling successful innovations globally.
</li></ul><b>Basic Qualifications
</b><ul><li>Bachelor's degree with 5+ years of experience in L&amp;D, technology program management, or strategic operations roles. Proven experience in leading transformation programs or strategic initiatives within global or matrixed organizations.
</li><li>Familiarity with L&amp;D technologies (LMS, LCMS, DAPs, or AI-powered tools) and experience driving their adoption and governance.
</li><li>Basic understanding of GenAI applications in learning, learning analytics, and content automation trends.
</li></ul><b>Preferred Qualifications
</b><ul><li>Master's degree or certifications in Project Management (PMP, ScrumMaster), Learning Technologies, or Business Strategy
</li><li>Experience with digital adoption platforms (DAPs), Learning Experience Platforms (LXPs), or skills-based talent ecosystems.
</li><li>Track record of executing large-scale, multi-stakeholder projects that combine technology, learning, and operational impact.
</li><li>Background in education, L&amp;D, or customer operations (BPO, contact centers, or service enablement).
</li><li>Exposure to organizational design and transformation frameworks (e.g., OKR systems, EFQM, Lean Six Sigma, Design Thinking).
</li><li>Proven ability to manage global stakeholder relationships and navigate complex cross-functional environments.
</li><li>Strong analytical mindset with proficiency in Google Sheets, Gemini, dashboards, and performance measurement tools.
</li><li>Experience in strategic planning, portfolio management, and change enablement.
</li><li>Excellent written, verbal, and visual communication skills, with the ability to synthesize and present insights to executive audiences.
</li></ul><b>Why This Role Matters
</b><br>
<br>
This role is the strategic and transformational backbone of Global L&amp;D in GSO.
<br>
You will not only implement technology but shape how the L&amp;D function evolves to meet the future of work-driving modernization, agility, and measurable impact. Your leadership will ensure that Uber's L&amp;D ecosystem remains industry-leading, continuously adapting to emerging trends in AI, skills transformation, and digital learning experience design.<br>
<br>
<br>
<br>
For Chicago, IL-based roles: The base salary range for this role is USD$116,000 per year - USD$128,500 per year. For Phoenix, AZ-based roles: The base salary range for this role is USD$103,000 per year - USD$114,500 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits.</div>

Learning Program Manager - Technology and Standards

UpEquity

<div><p><b>About UpEquity</b><br>
At UpEquity, we are pioneers in the real estate industry, dedicated to empowering individuals and businesses with innovative solutions that make home buying and selling more achievable for everyone. Our culture is rooted in collaboration, innovation, and a relentless commitment to making a meaningful impact.</p><br>
<p><b>
The Opportunity</b><br>
UpEquity is seeking a strategic and data-driven Director, Demand Generation to join our growing team. You will lead top of funnel initiatives and work with Sales, RevOps, and Data stakeholders to optimize conversion.</p><p></p><p><br>
This is a highly visible role, ideal for someone who enjoys problem solving, testing copy and sequencing, and works well across disciplines.<br>
<br>
<br>
</p><p><b>Key responsibilities include:</b></p>
<ul>
<li>Strategize, plan, and manage the day-to-day content of all email and SMS marketing initiatives that contribute to overall communications goals and drive engagement and conversion</li>
<li>Build and execute email campaigns, including list building, and A/B testing</li>
<li>Own the full-funnel demand gen engine: digital, email, ABM, events, and campaigns</li>
<li>Design and drive campaigns to increase engagement and activation with our partners leading to improved conversion</li>
<li>Design and execute lead outreach initiatives, and test against incumbent outgoing strategies</li>
<li>Develop and execute ABM playbooks</li>
<li>Continuously drive conversion improvement by developing new hypotheses and testing against them</li>
<li>Develop and own KPIs and benchmarks, spec clearly laid out dashboards to track success</li>
<li>Generate buy-in from key stakeholders and members of the executive team for campaigns and initiatives</li></ul><br>
<p></p>
<p><b>
Who You Are</b></p>
<ul>
<li>6-8 years of progressive demand generation experience, ideally in financial services</li>
<li>Proven track record owning top of funnel and executing integrated campaigns that convert</li>
<li>Hands-on experience managing content-driven lead generation campaigns</li>
<li>Analytical thinker with strong funnel intuition&mdash;you can model impact and optimize to the number</li>
<li>Comfortable in startup environments: you&rsquo;re resourceful, move fast, stay flexible, and thrive in ambiguity</li>
<li>Excellent collaborator across Sales, Data, and RevOps</li>
<li>Comfortable with CRM (HubSpot), marketing automation, analytics dashboards, paid media platforms, and web tools&mdash;plus whatever&rsquo;s new and useful.</li>
<li>A power user of AI tools in your workflow&mdash;but you value clarity, insight, and story over sheer volume.</li>
<li>Mortgage, fintech and/or Proptech experience preferred</li>
<li>Strong verbal and written communication skills</li>
<li>Strong organizational skills with ability to manage multiple priorities and projects, perform duties under time pressures, prioritize workflow and follow up, meet deadlines.</li>
<li>Proficient in MS Office Suite, including Excel, Word, and Outlook.</li></ul><br>
<p><br>
<b>Why Join UpEquity?</b></p>
<ul>
<li>Competitive salary and benefits package</li>
<li>A collaborative and supportive work environment</li>
<li>Opportunity for professional development and career advancement</li>
<li>The ability to help shape processes and procedures from the ground up</li></ul><br>
<p></p>
<p><b>
Important Details:</b></p>
<ul>
<li>You must reside in Chicago</li>
<li>Ability to work in a hybrid capacity from our Chicago office</li></ul><br>
<p></p>
<p>
For information on UpEquity, including more information on employee benefits and our company culture, visit our website at www.upequity.com.</p><p></p><p><i><br>
UpEquity is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.</i></p></div>

Director, Demand Generation

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