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The position is described below. If you want to apply, click the Apply Now button at the top or bottom of this page. After you click Apply Now and complete your application, you'll be invited to create a profile, which will let you see your application status and any communications. If you already have a profile with us, you can log in to check status. Need Help? If you have a disability and need assistance with the application, you can request a reasonable accommodation. Send an email to Accessibility (accommodation requests only; other inquiries won't receive a response). Regular or Temporary: Regular Language Fluency: English (Required) Work Shift: 1st shift (United States of America) Please review the following job description: The Risk Data and Reporting Senior Analyst II will deliver complex and comprehensive risk reporting, data, and business intelligence. The role is primarily aligned to support stakeholder needs, and initiatives within the Risk Management Organization, but may also support other areas of Truist. This position will sit in-office 4 days a week, and 1 remote. No remote option available. ESSENTIAL DUTIES AND RESPONSIBILITIES Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time. 1. Design, implement, and execute complex recurring or ad hoc reports, analyses, data, system-related, or operational tasks in accordance with departmental processes and controls. 2. Investigate and research unexplained variations in reports, data, systems, etc. Explain results of reports and research to department management and other stakeholders. 3. Develop and administer controls to ensure the integrity of departmental process. Evaluate and recommend improvements to departmental processes. 4. Assist with development of departmental documentation, particularly for highly complex and technical activities. 5. Serve as a consultative resource on risk reporting, data, system, or related issues. Engage with stakeholders to identify business objectives and scope solution requirements. 6. Lead moderate projects with heightened risks, complexity, and resource requirements; play significant roles in larger initiatives. 7. Mentor less experienced teammates to build their own technical expertise. QUALIFICATIONS Required Qualifications: The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 1. Bachelor's degree or equivalent 2. 7+ years of related experience or an equivalent combination of education and experience. 3. Deep specialized and/or broad knowledge within a professional discipline. Solid understanding of key business processes and strategies. 4. Knowledge of the industry's competitive landscape and an understanding of the market and regulatory factors that shape the industry. 5. Strong written and verbal communication skills. Ability to interpret and explain complex information to a range of audiences and build consensus among different stakeholders. 6. Ability to exercise judgment in solving technical, operational, and organizational challenges in the context of business objectives and priorities. 7. Ability to lead moderately complex projects. Ability to provide direction and mentor less experienced teammates. Preferred Qualifications: 1. Previous experience in reporting, business intelligence, systems, technology, data, risk, compliance or related areas 2. Advanced skills in data wrangling, data engineering, data science, or related areas. 3. Advanced experience and knowledge in Microsoft applications such as: Excel, Access, Word and PowerPoint 5. Experience reviewing complex data to ensure accuracy General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site . Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work. Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace. EEO is the Law Pay Transparency Nondiscrimination Provision E-Verify

Company Overview Mainspring Energy is revolutionizing power generation with the world’s most flexible and adaptable onsite power generator, the Mainspring Linear Generator. Commercial, industrial, and utility leaders are choosing Mainspring over traditional options like engines, turbines, and fuel cells to quickly and reliably deliver local power for EV charging, commercial facilities, data centers, and grid-scale operations. The Mainspring Linear Generator is fuel flexible, ramps up and down to meet demand, and utilizes a flameless technology with near-zero NOx emissions. Backed by top-tier investors such as Khosla Ventures, Bill Gates, American Electric Power, and Lightrock, Mainspring designs, manufactures and delivers its products to customers across the U.S. today, and we’re quickly scaling for international expansion. Inspired by our vision of the affordable, reliable, net-zero carbon grid, Mainspring is rapidly expanding within the $816B global electricity equipment market, and we’re hiring the best talent to meet growing customer demand around the globe. We welcome a broad range of backgrounds, experiences, and talents to bring fresh perspectives and ongoing innovation to our customers. We are looking to build relationships with people who share our values: Pragmatic Optimism. Building a new category of world-class power generation requires the optimism of ambition and creativity, balanced with practicality to solve problems efficiently. The challenges that arise are opportunities for growth. Excellence without Ego. We bring expertise and commitment to creating the best customer experience, from sales to deployment and service, just as we apply deep technical rigor to building and delivering world-class products. We strive for excellence and behave as leaders with the humility to acknowledge our challenges, both collectively and as individual contributors. Proactive Collaboration. The integration and cross-disciplinary nature of Mainspring’s business requires intentionally seeking out others who bring different skills, perspectives, and priorities. Our culture of inclusion and respect extends beyond our team to interactions with our partners and customers. More information can be found at www.mainspringenergy.com Job Overview The Sr. Sales Engineer- Data Center Markets, reports to the Senior Sales Engineering Manager. This role is expected to serve as the technical expert for developing cost estimates, preliminary designs, and system architecture. The Sales Engineering team is a subset of the Project Delivery team. A key enabler of Mainspring’s mission is the ability of this team to deliver solutions based on our linear generator technology that solve customer problems in the cross-section of resiliency and clean power supply. Responsibilities Deliver the highest value solution to customers optimizing cost-effective and robust design solutions Assist sales team in customer calls, on an as need basis, be a key contributor for customer interactions during sales cycle Travel to customer sites to perform site walks to determine site conditions and challenges for estimation and installation Collaborate with internal technical teams to create proposal documentation package (site/equipment layout diagrams, sales and estimating single line diagrams, etc.), thereby supporting the sales cycle Interface with internal cross-functional teams to understand and communicate technical requirements to customer Present turn keys project solutions with pricing estimates assumptions and exclusions Pivot and problem solve and identify solutions based on the customer requirements Deliver cost estimates and supporting documentation for multiple projects (5+) at a time, to project stakeholders Collect market data (BOM cost, commodity cost, wire and concrete market conditions ) and present to projects, sales and business development leads. Support the business development team during contract negotiations Be available as a consult for the project management during execution and installation Demonstrate an understanding of the datacenter market segment and industry as a whole: Understand datacenter operations, building power generation blocks, availability & reliability of datacenter power Have an understanding of combustion turbines & medium speed engines Qualifications Bachelor's degree in Engineering (Electrical or Mechanical preferred) Over 7 years of experience with sales engineering, front-end engineering and design (FEED), applications engineering, cost estimating, in electrical power systems or related industry Experience in distributed energy, solar, batteries, fuel cells, microgrids, a plus Ability to problem-solve, think creatively, and timely resolve personnel and project related issues Excellent organization, documentation, and communication skills Demonstrated experience with and full understanding of the following: System and component level solutions Proposal development EPC construction practices Bill of materials Electrical interconnection process/gas upgrade process with utilities (plus but not critical) Estimating Ability to travel nationally 25% max and be the face of Mainspring for site visits and sales presentations. $127,000 - $150,000 a year This position is remote . The salary will be adjusted to reflect local market conditions based on employee location as well as the experience of the employee. Along with the base salary, Mainspring offers pre-IPO stock options + benefits. Does your experience not meet all of our posted requirements? Studies have shown that some people are less likely to apply to positions unless they meet every listed requirement. At Mainspring, we are committed to building a diverse, inclusive, flexible, and collaborative environment, so if you want to help us transition the world to clean and affordable electricity, and don’t meet all posted requirements for a particular role, we’d still love to hear from you. Mainspring can sometimes be flexible enough to shift responsibilities for the right person, or otherwise identify open or upcoming roles that may better fit your professional background. In more traditional words, Mainspring Energy, Inc is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. This compensation and benefits information is based on Mainspring Energy's estimate as of the date of publication and may be modified in the future. We generally do not negotiate on salary once we have made an offer. The level of pay within the range will depend on a variety of job-related factors that may include location, relevant prior experience and/or education, or particular skills and expertise. New hires joining the company tend to be paid within the starting base pay range noted above, with opportunities to increase pay over time based on development of additional skills, competencies, and company-specific knowledge.

Ames Construction has built America for more than 60 years, and the exceptional people who make up our team are a vital factor in our success. We are a full-service, heavy civil and industrial general contractor that brings innovative solutions to many market segments, from highway and bridge construction to mining and rail. Ames is a family-owned company that retains its entrepreneurial spirit while offering the experience and stability of a proven construction industry leader. Equipped with our core values of People, Team, Our Bond, Persistence, and Vision, we make communities across the U.S. safer, keep supply chains moving, and lay the groundwork for a sustainable future. By joining Ames, you will be working with talented colleagues at an award-winning, nationally recognized top 75 general contractor. . Position Summary We are seeking a Data Entry/Accounting Specialist. This role will support our Accounting department with entering financial data . The ideal candidate will be organized and have good attention to detail. Essential Functions Receive, review, and process invoices in alignment with purchase orders, subcontracts, and customer accounts. Enter and route subcontract invoices for approval and follow up on unapproved/rejected invoices. Manage new vendor setup, including W-9 documentation. Update financial spreadsheets and reports as needed Employee file maintenance, time card review and payroll processing Perform additional administrative and accounting tasks as assigned. Qualifications Working towards a degree in accounting, finance, or a related field (preferred) 2+ years of accounts payable or payroll experience. Experience in the construction industry (preferred). Strong written and oral communication skills. Detail oriented with the ability to multitask. Strong organizational and time management skills. Ability to interact effectively with others. Proficient in Microsoft Office (Excel, Word, Outlook). Experience with the eCMS software is a plus. Working Conditions Location – This position will work out of our Burnsville, MN office. Compensation - $20-$24 an hour. Office environment – extensive sitting at desk and computer; some standing, bending at the waist, stooping and reaching required; ability to lift 5-20 pounds occasionally. . Ames Construction is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Join a team that values your ambition and empowers your growth At Corient, we help high- and ultra-high-net-worth individuals and families to enjoy a full life, while enabling them to preserve their wealth for future generations, and provide for the people, causes and communities they care about. We focus on exceeding expectations, simplifying lives, and establishing legacies that last for generations. We are always looking for talented and motivated individuals to join our team. If you want to work for a company that values your contributions and supports your growth, we would like to meet you. Maintain Internal Systems: Maintain Portfolio Management System (PMS) and all relevant Data and Reporting datapoints in the CRM Overseeing PMS account lifecycle activities (opening, closing, transfers, renaming) within the PMS Identify, understand, and provide input related to enhancements, system integrations and data transformation requirements Ensure data integrity. Deploy efficient audits through use of available tools for daily, monthly, and quarterly reconciliation of PMS data against custodian records and statements Uploading and verifying cost basis data for security transfers Monitoring and resolving undefined/missing sectors, prices, and security data Reviewing and managing corporate actions (e.g., splits, spin-offs) within the PMS Troubleshooting TWR/IRR performance discrepancies, including FX impacts Benchmark maintenance across accounts Documenting and testing PMS automations to enhance processes Reconciling and maintaining manual accounts and incoming asset data Coordinating with custodians to onboard new interfaces, ensuring all documentation is complete Attend webinars, workshops, and conferences to remain current on product releases and roadmaps User Support: PMS data and reporting liaison between business unit, corporate, and vendors Managing the client portal, including user access, uploads, troubleshooting, and vendor communication Manage user experience including creating, updating, and terminating users as well as setting up appropriate profiles and permission sets to adhere to firm’s compliance guidelines Provide users with support/training on PMS and its related information in CRM Support bulk data and reporting deliverable needs across the organization (transfer and renames of account records in PMS, uploading documents to client portal) Reporting and Billing: Maintain client performance reports within the PMS Provide business intelligence by creating/maintaining reports and dashboards Generate timely monthly/quarterly corporate data extract reports Generate ad hoc reports for internal and external stakeholders’ requirements Work with Billing team to maintain and clean billing -related data in PMS Physical Requirements This position requires the physical capabilities to work in an office environment, which may include prolonged periods of sitting at a desk and working on a computer. Corient seeks to make reasonable accommodations that enable individuals with disabilities to perform essential duties when possible. This position may require the ability to lift up to 15 pounds. This position is required to work onsite 4 days per week. U.S. Eligibility Requirements Must be 18 years of age or older. Must be willing to submit to a background investigation; any offer of employment is conditioned upon the successful completion of a background investigation. Must have unrestricted work authorization to work in the United States. For U.S. employment opportunities, Corient hires U.S. citizens or permanent residents. Exceptions to these requirements will be determined based on shortage of qualified candidates with a particular skill. Corient will require proof of work authorization. Corient participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9. Must be willing to execute Corient’s Employee Agreement or Confidentiality and Non-Disclosure Agreement, which require, among other things, post-employment obligations relating to non-solicitation, confidentiality, and non-disclosure. What You Can Expect from Us Our dedication to the Employee Experience at Corient is aimed at supporting, empowering, and inspiring our talented team through: 401(k) Plan with Employer Matching Four Medical Plan options that is generously subsidized by Corient Employer paid Dental, Vision & Life and AD&D Insurance Employer paid Short-term & Long-term Disability Paid Maternity & Parental Leave Flexible Spending Accounts & Health Savings Accounts Dependent Care FSA Commuter & Transit FSA Corporate Discount Program - Perkspot Training Reimbursement Paid Professional Designations Giving back to the community - Volunteer days Corient is an integrated national U.S. wealth management firm providing comprehensive solutions to ultra-high-net-worth and high-net-worth clients. We combine the personal service, creativity and objective advice of a boutique with the power of an exclusive network of experienced advisors, capabilities and solutions to create a profoundly different wealth experience. As fiduciaries, we put our clients at the center of everything we do. We focus on exceeding expectations, simplifying lives and establishing lasting legacies. Full participation of all employees in a safe, healthy and respectful environment is key to individual and company success. We are committed to fully utilizing the abilities of all our employees and expect each of our employees to honor this commitment in their daily responsibilities. We are an equal opportunity employer. All candidates will be recruited and, if applicable, selected and employed without regard to sex, race, religion, marital status, veteran status, age, national origin, sexual orientation, gender identity, color, creed, ancestry, disability, genetic information or any other basis prohibited by law.

Later is the enterprise leader in social media and influencer marketing software, services, and data, trusted by leading brands and agencies worldwide. Following our acquisition of Mavely , the Everyday Influencer Platform®, Later enables brands to scale creator partnerships from nano to premium influencers while managing social media content and campaigns across all major social and affiliate networks. Through proprietary performance data, marketing leaders can drive attributable sales and optimize social commerce with our software platform or award-winning services.  Later is founded on two success stories that began in 2014: Mavrck, the industry-leading  influencer marketing solution (now Later Influence™), and Later, the best social media management platform (now Later Social™) and first-to-market link in bio tool , Later Link in Bio. In 2024, Mavrck and Later officially joined together as one unified business, with a shared vision: to enable the world to make a living with their creativity. We’re trusted by the top social platforms, with partnerships and integrations with Meta, TikTok, X/Twitter, LinkedIn, YouTube, and Pinterest. We enable marketers to create high-performing content and engage in authentic collaborations with creators to reach new audiences, drive engagement, and generate predictable ROI.  About this position: As a Staff Data Engineer at Later, you will be at the forefront of designing and scaling our data platform, integrating multiple data sources, and ensuring high availability, efficiency, and security. You will drive architectural decisions, optimize large-scale data processing, and develop real-time analytics infrastructure. Partnering with cross-functional teams, including data science, product, and engineering, you will play a strategic role in shaping the company's data roadmap, implementing best practices, and influencing long-term data strategies. Your leadership and deep technical expertise will be essential in building a data-driven culture and empowering stakeholders with scalable and reliable data solutions. What you'll be doing: Lead the design and evolution of a scalable data architecture that meets analytical, machine learning, and operational needs. Architect and optimize data pipelines for batch and real-time data processing, ensuring efficiency and reliability. Implement best practices for distributed data processing, ensuring scalability, performance, and cost-effectiveness of data workflows. Define and enforce data governance policies, implement automated validation checks, and establish monitoring frameworks to maintain data integrity. Ensure data security and compliance with industry regulations by designing appropriate access controls, encryption mechanisms, and auditing processes. Drive innovation in data engineering practices by researching and implementing new technologies, tools, and methodologies. Work closely with data scientists, engineers, analysts, and business stakeholders to understand data requirements and deliver impactful solutions. Develop reusable frameworks, libraries, and automation tools to improve efficiency, reliability, and maintainability of data infrastructure. Guide and mentor data engineers, fostering a high-performing engineering culture through best practices, peer reviews, and knowledge sharing. Establish and monitor SLAs for data pipelines, proactively identifying and mitigating risks to ensure high availability and reliability. We are committed to building an inclusive, supportive place for you to do the best and most rewarding work of your career. If you identify with any of the following, we encourage you to apply! 10+ years of experience in data engineering, software engineering, or related fields. Proven experience leading the technical strategy and execution of large-scale data platforms. Expertise in cloud technologies (Google Cloud Platform, AWS, Azure) with a focus on scalable data solutions (BigQuery, Snowflake, Redshift, etc.). Strong proficiency in SQL, Python, and distributed data processing frameworks (Apache Spark, Flink, Beam, etc.). Extensive experience with streaming data architectures using Kafka, Flink, Pub/Sub, Kinesis, or similar technologies. Expertise in data modeling, schema design, indexing, partitioning, and performance tuning for analytical workloads, including data governance (security, access control, compliance: GDPR, CCPA, SOC 2) Strong experience designing and optimizing scalable, fault-tolerant data pipelines using workflow orchestration tools like Airflow, Dagster, or Dataflow. Ability to lead and influence engineering teams, drive cross-functional projects, and align stakeholders towards a common data vision. Experience mentoring senior and mid-level data engineers to enhance team performance and skill development. Preferred Qualifications: Experience with machine learning infrastructure and integrating ML models into data pipelines. Experience with Kappa/Lambda architectures for real-time data processing. Background in data observability, lineage tracking, and anomaly detection tools (Monte Carlo, Databand, Great Expectations, etc.). Experience working with decentralized data architecture (e.g., Data Mesh principles). How you work:  You’re proactive and results-driven, always taking initiative, aligning your actions with company goals, and delivering consistent outcomes.  Strategic and forward-thinking, you balance immediate needs with long-term opportunities to drive impactful, innovative results. Your curiosity fuels success, keeping you sharp on industry trends, competition, and our cross-functional business dynamics.  Adaptable and resourceful, you handle shifting priorities with ease, manage your time effectively, and know when to ask for support. You share insights to help the team stay ahead and make informed decisions. You bring positivity and resilience to every challenge, tackling obstacles with grit and optimism that inspires those around you.  You lead with emotional intelligence, building trust, supporting others, encouraging growth, and fostering strong relationships through empathy and collaboration.  Our approach to compensation: We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors. Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only. To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted.  Additionally, all permanent team members are granted stock options and are eligible to participate in various benefits plans as part of their overall compensation package. Salary Range:  $ 200,000- 228,000 USD   *Co-op team members, independent contractors, and freelancers are not eligible for company benefits.   #LI-Remote Where we work We have hubs in Boston, MA; Vancouver, BC; Toronto, ON; Chicago, IL; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located.  Diversity, inclusion, and accessibility At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit . We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change. We are committed to creating a diverse environment and are proud to be an equal opportunity employer . All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.

Token Metrics is seeking a multi-talented Senior Big Data Engineer to facilitate the operations of our Data Scientists and Engineering team. The Senior Big Data Engineer will be responsible to employ various tools and techniques to construct frameworks that prepare information using SQL, Python, R, Java and C++. The Senior Big Data Engineer will be responsible for employing machine learning techniques to create and sustain structures that allow for the analysis of data while remaining familiar with dominant programming and deployment strategies in the field. During various aspects of this process, you should collaborate with coworkers to ensure that your approach meets the needs of each project. Responsibilities Liaising with coworkers and clients to elucidate the requirements for each task. Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed. Reformulating existing frameworks to optimize their functioning. Testing such structures to ensure that they are fit for use. Building a data pipeline from different data sources using different data types like API, CSV, JSON, etc. Preparing raw data for manipulation by Data Scientists. Implementing proper data validation and data reconciliation methodologies. Ensuring that your work remains backed up and readily accessible to relevant coworkers. Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs. Requirements Bachelor's degree in Data Engineering, Big Data Analytics, Computer Engineering, or related field. A Master's degree in a relevant field is an added advantage. 3+ years of Python, Java or any programming language development experience 3+ years of SQL & No-SQL experience (Snowflake Cloud DW & MongoDB experience is a plus) 3+ years of experience with schema design and dimensional data modeling Expert proficiency in SQL, NoSQL, Python, C++, Java, R. Expert with building Data Lake, Data Warehouse or suitable equivalent. Expert in AWS Cloud. Excellent analytical and problem-solving skills. A knack for independence and group work. Capacity to successfully manage a pipeline of duties with minimal supervision. About Token Metrics Token Metrics helps crypto investors build profitable portfolios using artificial intelligence-based crypto indices, rankings, and price predictions. Token Metrics has a diverse set of customers, from retail investors and traders to crypto fund managers, in more than 50 countries.

Leading the future in luxury electric and mobility At Lucid, we set out to introduce the most captivating, luxury electric vehicles that elevate the human experience and transcend the perceived limitations of space, performance, and intelligence. Vehicles that are intuitive, liberating, and designed for the future of mobility.   We plan to lead in this new era of luxury electric by returning to the fundamentals of great design – where every decision we make is in service of the individual and environment. Because when you are no longer bound by convention, you are free to define your own experience.   Come work alongside some of the most accomplished minds in the industry. Beyond providing competitive salaries, we’re providing a community for innovators who want to make an immediate and significant impact. If you are driven to create a better, more sustainable future, then this is the right place for you. The Maintenance Data Specialist is responsible for leveraging data analytics to optimize maintenance strategies, improve equipment reliability, and reduce downtime. This role collects, analyzes, and interprets maintenance data from CMMS and production systems to support data-driven decision-making and continuous improvement efforts. You Will: · Develop and maintain dashboards and reports to monitor maintenance KPIs (MTTR, MTBF, uptime, compliance, etc.). · Analyze equipment failure trends and recommend predictive and preventive actions. · Support migration from time-based to condition- or cycle-based maintenance strategies. · Work closely with equipment OEM, automation engineers, maintenance supervisor, manufacturing engineers, and technicians to improve asset reliability. · Identify data gaps and improve CMMS data quality through audits and standardization. · Collaborate with IT and automation teams to integrate real-time data sources (e.g., SCADA, PLC, sensors). · Support implementation of predictive maintenance tools using vibration, temperature, and other condition-monitoring inputs. · Present actionable insights to maintenance and operations leadership for strategy alignment. · Contribute to annual maintenance budget planning with data-driven forecasts and historical analysis. You Bring: · Bachelor’s degree in engineering, Data Science, Industrial Technology, or related field. · Six Sigma Green Belt + or similar certification. · 4+ years of experience in maintenance, reliability, or data analytics in a manufacturing environment. · Strong experience with CMMS platforms (SAP PM, Fiix, Maximo, etc). · Proficient in data analysis tools (Excel, Power BI, SQL, Python/R is a plus). · Understanding of maintenance strategies (preventive, predictive, reliability-centered maintenance). · Strong problem-solving, communication, and collaboration skills. Preferred Skills: · Familiarity with IoT and Industry 4.0 technologies. · Knowledge of manufacturing systems (MES, PLCs). · Experience with failure mode and root cause analysis tools (FMEA, RCA, 5 Whys).       At Lucid, we don’t just welcome diversity - we celebrate it! Lucid Motors is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, national or ethnic origin, age, religion, disability, sexual orientation, gender, gender identity and expression, marital status, and any other characteristic protected under applicable State or Federal laws and regulations. By Submitting your application, you understand and agree that your personal data will be processed in accordance with our Candidate Privacy Notice . If you are a California resident, please refer to our California Candidate Privacy Notice . To all recruitment agencies : Lucid Motors does not accept agency resumes. Please do not forward resumes to our careers alias or other Lucid Motors employees. Lucid Motors is not responsible for any fees related to unsolicited resumes.   

NimbleRx is a technology company that enables people to live their best lives by improving access to reliable, affordable healthcare. Our mission is to bring pharmacies into the future by building a convenient and easy-to-use service that supports pharmacists and empowers patients. We are a fast-growing, technology-first startup doing over $1 billion in GMV annually, and our team stays rooted in a patient-first mentality; we aim to bring all of our patients convenient access to reasonably-priced medications without ever needing to step foot in a pharmacy. As a Senior Data Analyst , you will act as a core driver for projects spanning across all parts of the business. Data is a key component to how every function operates, and as a resident data expert/coach for your stakeholders, you will empower others to make data-driven decisions through analyses, insights, and setting a precedent for how data is used throughout the company. You will: Drive key business and product initiatives through actionable insights Own data analysis and visualization across the business Coach non-technical functions to leverage data for their goals Design data structures (events, tables, etc) that are efficient, logical, and forward-thinking Mentor junior data analysts Help create and maintain sustainable processes and practices for data usage across the company What you bring: Bachelor's Degree in business / economics, STEM (science, technology, engineering, mathematics / statistics), or similar fields 3+ years of data analytics experience Advanced experience with SQL Proficient in other languages/tools (i.e. R, Python, Excel, etc.) Excellent communication and storytelling skills for both technical and nontechnical collaboration Strong foundation in prioritization and stakeholder management Nice to have: experience with Kibana/Elasticsearch About you: You feel a strong sense of ownership over your work You have a bias for action and driving teams towards concrete goals You value mentorship and seek to better your teammates and yourself You have conviction in your decisions, but are ready and willing to listen to diverse perspectives What's in it for you: Compassionate and driven colleagues in a fun environment where success is celebrated Direct access to executives and a transparent company culture Rare opportunity to change an industry and lives of millions We are reinventing healthcare / pharmacy - your (grand)parents and your (grand)children will understand and appreciate what you do Medical / Dental / Vision / 401K package that fits your needs Generous Vacation Policy - work hard and take time when you need it 11 Paid Holidays At Nimble, we are dedicated to putting patients first and improving pharmacies across America. Join us on this exciting journey! Diversity, inclusion and belonging at Nimble: Nimble is building a diverse and inclusive work environment where we learn from each other. We pride ourselves on being an equal opportunity employer and welcome people of diverse backgrounds, abilities and perspectives.

About Kandji Kandji is the Apple device management and security platform that empowers secure and productive global work. With Kandji, Apple devices transform themselves into enterprise-ready endpoints, with all the right apps, settings, and security systems in place. Through advanced automation and thoughtful experiences, we’re bringing much-needed harmony to the way IT, InfoSec, and Apple device users work today and tomorrow. Some of the smartest money in tech has partnered with Kandji to realize our vision, including Tiger Global, Felicis, Greycroft, First Round Capital, and Okta Ventures. In July 2024, Kandji raised $100 million in capital from General Catalyst, bringing Kandji’s valuation to $850 Million. Since Kandji’s Series C in 2021, the company has seen a 600%+ increase in annual recurring revenue, and its customer base has grown nearly 4X across 40+ industries. Notable customers include Allbirds, Canva, and Notion, and the company has partnerships with such industry giants as ServiceNow, AWS, and Okta. Kandji was also named to Forbes’ Next Billion Dollar Startup List 2023 and recognized as a top venture-backed startup with the potential to reach unicorn status. The Opportunity We are hiring a Product Data Scientist to join our growing Growth & Experience team. Our mission is to empower users to independently discover, purchase, adopt, and thrive with Kandji’s solutions by delivering frictionless onboarding, intuitive tools, and automated processes that minimize barriers to success. You will leverage your technical skills and analytical business mindset to deliver an exceptional experience to our customers, shape product development, and quantify new opportunities that accelerate growth at Kandji.. You will work closely with cross-functional partners—including Product, Engineering, Data, Design, Marketing, Sales, Finance, and more—to identify and capture opportunities by delivering actionable recommendations that enhance user experience across all customer touchpoints. How You Will Make a Difference Day to Day: Work with large and complex datasets to analyze user behaviors, pain points, and opportunities for improved product experiences. Partner with Product, Engineering, and Design teams to measure the impact of new product features and user journey enhancements, providing data-driven recommendations for further improvements. Design and implement A/B testing strategies to evaluate product changes and enhancements, and interpret results to inform product decisions. Conduct exploratory data analysis on customer feedback, user flows, and product usage to identify patterns and trends that can inform product direction. Provide analytical support to leadership and product managers, helping to set product KPIs, forecast performance, and determine areas for optimization. Build and maintain dashboards, reports, and visualizations to communicate key metrics and insights across Product and GTM teams. Partner with the revenue and finance teams to support GTM strategies through data analysis, customer acquisition cost (CAC) assessment, and revenue forecasting. Maintain and refine data models that facilitate deeper analysis of product experience and growth metrics, contributing to data accuracy and consistency. Present data findings and insights to cross-functional teams, highlighting critical areas of opportunity and progress toward company goals. Tell data-driven stories to convince and influence partners using clear insights and recommendations. Participate in customer journey mapping sessions to ensure data-backed recommendations are integrated into planning and execution phases. Minimum Qualifications: Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field. 3+ years of experience in data analysis, preferably within a product-focused or SaaS environment. Strong proficiency in SQL, Python, or similar programming languages used for data analysis. Experience with data visualization tools such as Omni, Tableau, Looker, or similar platforms. Experience conducting A/B testing, interpreting the results to inform product decisions, and ability to customize test metrics and statistical structure. Demonstrated ability to analyze complex datasets and deliver clear, actionable insights that drive product improvements. Strong communication skills, with the ability to present data insights to both technical and non-technical audiences. Familiarity with product development processes and the role played by data in product management, design, and engineering. Required to work on-site 5x a week in our Miami office (Coral Gables). Nice to Haves, but NOT Required Experience in a SaaS environment focused on enhancing customer experience and streamlining processes like onboarding and billing automation. Knowledge of dbt for data modeling and experience with incremental models. Familiarity with analytics tools such as Pendo, Amplitude, or Mixpanel for tracking product usage and user behavior. Experience supporting GTM strategies, particularly in roles that intersect product, analytics, and revenue growth. Strong problem-solving skills and an analytical mindset, with a passion for using data to improve user experience and drive growth. Benefits & Perks • Competitive salary • 100% individual and dependent medical + dental + vision coverage • 401(k) with a 4% company match • 20 days PTO • Kandji Wellness Week the first week in July • Equity for full-time employees • Up to 16 weeks of paid leave for new parents • Paid Family and Medical Leave • Modern Health - Mental Health Benefits - Individual and Dependents • Fertility Benefits • Working Advantage Employee Discounts • Free onsite fitness center • Free parking • Lunch 5 days/week • Exciting opportunities for career growth • An outstanding, inclusive culture We are excited to be serving a significant need for a fast-growing market, and are proud of the high-performing team we have brought together so far. If you’re someone who wants to engage in new, exciting projects that will challenge your skills in the best way possible, we would love to connect with you. At Kandji we believe in fostering an inclusive environment in which employees feel encouraged to share their unique perspectives, leverage their strengths, and act authentically. We know that diverse teams are strong teams, and welcome those from all backgrounds and varying experiences. Kandji is proud to be an equal opportunity employer committed to diversity and inclusion in the workplace. Qualified applicants will be considered for employment without regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, physical or mental disability, protected veteran or military status or any other status protected by applicable law.

Be Challenged and Make a Difference In a world of technology, people make the difference. We believe if we invest in great people, then great things will happen. At AnaVation, we provide unmatched value to our customers and employees through innovative solutions and an engaging culture. Description of Task to be Performed: AnaVation is seeking an experienced Modeling Data Engineer – Ontologist to join an exciting work program. The successful candidate will be responsible for leading the design, development, and evolution of formal ontologies to represent complex domains, entities, relationships, and concepts to include the adaptation of proprietary data formats that capture real world entities in realistic, transportable, and explanatory data models. Additional responsibilities include developing changes to the data model to support continually evolving system and information requirements. These models must be able to support current and future enterprise applications system design, by capturing and communicating with all relevant systems the changes to the data model at consistent, and regular intervals consistent with the software development life cycle of the enterprise applications. The candidate will also be required to interface directly with data architects, software developers, and cross-functional teams to understand their data needs, provide expert guidance on semantic technologies and knowledge representation to ensure that the data model is able to capture the use cases that the software systems are responsible for. This position is currently hybrid (mostly remote, with up to two days per week on-site with our customer in Lorton, VA. Remote status is subject to change at the customer’s direction, but is expected to continue. This position requires an active Top-Secret clearance and the ability to obtain SCI access with a CI polygraph. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field of study Experience working as an ontologist within a federal law enforcement or Intelligence Community agency environment Experience creating and managing data models, ETL development, and data warehousing Software languages and software system development experience (Python, C#, and JavaScript) Familiarity and experience with search query languages (SQL, No-SQL) Knowledge of common data storage formats (JSON, XML, CSV) Familiarity with the software development cycle Extensive experience building unit tests Ability to work independently and as part of a team Preferred Qualifications: Digital forensic domain background. Normalizing data accounting for multiple organizational and operational concerns. Experience handling complex and conflicting customer requirements. Knowledge of data governance and data quality frameworks. Benefits · Generous cost sharing for medical insurance for the employee and dependents · 100% company paid dental insurance for employees and dependents · 100% company paid long-term and short term disability insurance · 100% company paid vision insurance for employees and dependents · 401k plan with generous match and 100% immediate vesting · Competitive Pay · Generous paid leave and holiday package · Tuition and training reimbursement · Life and AD&D Insurance About AnaVation AnaVation is the leader in solving the most complex technical challenges for collection and processing in the U.S. Federal Intelligence Community. We are a US owned company headquartered in Chantilly, Virginia. We deliver groundbreaking research with advanced software and systems engineering that provides an information advantage to contribute to the mission and operational success of our customers. We offer complex challenges, a top-notch work environment, and a world-class, collaborative team. If you want to grow your career and make a difference while doing it, AnaVation is the perfect fit for you! AnaVation is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Matillion is The Data Productivity Cloud. We are on a mission to power the data productivity of our customers and the world, by helping teams get data business ready, faster. Our technology allows customers to load, transform, sync and orchestrate their data. We are looking for passionate, high-integrity individuals to help us scale up our growing business. Together, we can make a dent in the universe bigger than ourselves. Matillion is launching a Military Leavers Technology Work Placement Programme designed specifically for service leavers transitioning into civilian tech careers. Whether you've had exposure to IT, data, or security systems in service, or you're just starting to explore the technology world, we're here to help you take your step. What the Programme Offers This 3 - 6 week placement programme offers hands-on exposure and experience across our Data, IT and/or Security teams. You'll work alongside experience professionals on impactful projects, with the support and mentorship you need to succeed with us, and post placement. Placement Areas and Example Projects Data ( Analytics, Data Governance, Data Engineering) Example Projects: Building analytics dashboards, designing and optimizing data pipelines, and implementing data governance frameworks to enhance data quality and integration. IT (Service Delivery, IT Governance, Systems Engineering) Example Projects: Supporting cloud migration initiatives, developing IT process improvements, and ensuring robust system uptime through proactive monitoring and service delivery enhancements. Security (Compliance, Security Operations, Application Security) Example Projects: Conducting vulnerability assessments, drafting and enforcing security policies, and implementing compliance protocols to safeguard our applications and data. What we're looking for A strong passion for technology and the drive and curiosity to learn new skills. Leadership, problem-solving, and teamwork skills developed in military service Basic understanding or interest in Data, IT, or Security – experience welcome but not essential The ability to adapt to new environments and collaborate across team Nice-to-have qualifications (Data) Experience with SQL and Python Familiarity with data visualization tools (e.g., Tableau, Power BI, ThoughtSpot). Basic understanding of data governance best practices or certifications like CDMP. Understanding of Cloud Data Warehousing (RedShift, Snowflake etc) Nice-to-have qualifications (IT) Experience with ITIL processes or certifications. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) or SaaS Applications Knowledge of system architecture and network troubleshooting. Nice-to-have qualifications (Security) Knowledge of cybersecurity frameworks (e.g., NIST, ISO 27001, SOC). Experience with security tools and scanners. Relevant certifications (e.g., CompTIA Security+, CISSP). If you’re ready to kick-start your tech career and translate your military skills into a new professional journey, apply now for a placement with Matillion! About Matillion Matillion has fostered a culture that is collaborative, fast-paced, ambitious, and transparent, and an environment where people genuinely care about their colleagues and communities. Our 6 core values guide how we work together and with our customers and partners. We operate a truly flexible and hybrid working culture that promotes work-life balance. Thousands of enterprises including Cisco, DocuSign, Slack, and TUI trust Matillion technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of our customers and the world. We are passionate about doing things in a smart, considerate way. We’re honoured to be named a great place to work for several years running by multiple industry research firms. We are dual headquartered in Manchester, UK and Denver, Colorado. Matillion is an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment for all of our team. Matillion prohibits discrimination and harassment of any type, Matillion does not discriminate on the basis of race, colour, religion, age, sex, national origin, disability status, genetics, sexual orientation, gender identity or expression, or any other characteristic protected by law.

***This is a full-time remote position with a Monday-Friday work week. KCL will currently consider applicants who reside in the following states: Arkansas, California, Colorado, Connecticut, Florida, Georgia, Idaho, Illinois, Iowa, Minnesota, Ohio, Pennsylvania, South Dakota, Texas, Utah, Virginia, Washington, or Wisconsin. The Krazy Coupon Lady (KCL) is a founder-led publisher for women who love finding great deals and want to shop smarter. Our teams of shopping experts curate and hand-test nearly a thousand deals per week, so there is always something new to discover each time you visit our website, app, and your inbox. With the growth KCL is experiencing, the Data Organization is in need of a Senior Data Engineer to join our Data Engineering team. You will be the senior technical figure and provide advice to business and technology leaders, an authority figure to your colleagues, providing guidance and expertise. You will be focused on piping impactful insights to the right people at the right time, supporting data driven decision makers, analytics, and data science initiatives. In this role, you will Design and implement Data Engineering deliverables, ensuring alignment with business objectives and timely delivery of high-impact data solutions. Responsible for delivery of data engineering projects, including design, architecture, scoping, and execution to meet business goals. Ensure timely and efficient execution of data pipeline development, maintenance, and optimization, driving continuous improvement in performance and scalability. Collaborate with cross-functional teams (Analytics, Engineering, Product, Sales, Marketing) to define data requirements, establish milestones, and deliver solutions on schedule. Report on your work progress, tracking key performance indicators (KPIs) and ensuring alignment with the overall program roadmap. Meet program timelines, ensuring projects are delivered on time, within scope, and within budget. Implement risk management and issue resolution best practices, identifying potential roadblocks early and proactively implementing corrective actions. Optimize and maintain cloud-based data platforms (e.g., Snowflake, BigQuery, Redshift) to ensure high availability, reliability, and cost efficiency for all data initiatives. Develop and implement data engineering best practices, including data governance, security, and quality assurance, across all project phases. Participate in regular status meetings and reviews with stakeholders, ensuring transparency in progress and ensuring expectations are met. Implementing both short-term and long-term integration strategies. Participate in a collaborative and high-performing team environment, providing guidance, mentorship, and delivering team objectives in alignment with broader business goals. Deliver timely and accurate documentation of engineering processes, project milestones, and system architecture for future reference and compliance. Participate in the evaluation of emerging tools and technologies, proposing new solutions or improvements to enhance the efficiency and impact of data engineering projects. About you Data Engineering Background: You’ve spent at least 7 years in Software/Data Engineering Development and/or Technological Leadership roles with an emphasis on implementing DWH and ETL/ELT industry best practices. You understand data platform architecture concepts and know how to design and develop a project from inception to delivery. Technology Leader: You take pride in your ability to share your expertise with others and participate in fulfilling their potential. You continuously learn and expand in your knowledge of your domain and provide innovative and cutting edge solutions. Self Driver: You require moderate guidance, and take the initiative whenever possible. You respond well to changing requirements and always keep your eyes on the goal, providing your business stakeholders with the best access to impactful data. Problem Solver: Your skills in problem solving are superior. You like to take on what others see as impossible. You are not deterred by obstacles or blockers and continuously look for the way forward while maintaining a high quality performance. Physical Requirements Use of Fingers: Picking, pinching, typing or otherwise working, primarily with fingers rather than with the whole hand or arm as in handling. Talking: Expressing or exchanging ideas by means of the spoken word; those activities where detailed or important spoken instructions must be conveyed to other workers accurately, loudly, or quickly. Hearing: Perceiving the nature of sounds at normal speaking levels with or without correction, and having the ability to receive detailed information through oral communication, and making fine discriminations in sound. The worker is required to have close visual acuity to perform an activity such as: preparing and analyzing data and figures; transcribing; viewing a computer terminal; extensive reading. At KCL, we believe in taking care of our team—both at work and beyond. Here’s a quick look at what we offer: 💻 Home Office Perks – We set you up for success with a company-provided laptop, a $450 home office stipend, and monthly reimbursements for internet and phone. 🌴 Time to Recharge – Enjoy 10 company holidays, a floating holiday, flexible PTO (or accrued PTO for select content roles), and a sabbatical every 5 years. ❤️ Health & Wellness – Choose from three insurance plans, with KCL covering 100% of medical and dental premiums (excluding the PPO buy-up). We also offer vision, life insurance, FSA, HSA contributions, fertility benefits, and an Employee Assistance Program. 💰 Financial & Retirement Benefits – A 401(k) with a 4% company match, multiple bonus opportunities, and professional development perks like certification reimbursement and public speaking bonuses. 👶 Family & Leave – Generous parental leave (12 weeks for carrying parents, 8 weeks for non-carrying), extended caregiver leave, and even time off if you're cast on Survivor ! 💡 Community & Culture – Regular team check-ins, company-wide meetings, and a commitment to giving back through our KCL Foundation and service initiatives.

Are you looking for a Data Scientist role whereby you will unlock insights from large-scale datasets and build models to drive success for one of our core business verticals? About the role: We are seeking a Data Scientist II to join our Acquisition and Retention Analytic team. In this role, you will apply advanced data science techniques to drive strategic decision-making, optimize marketing effectiveness, and elevate customer lifetime value in a highly competitive and evolving insurance landscape. As part of the Acquisition and Retention Analytics team, you’ll work cross-functionally with marketing, product, and vertical teams to unlock insights from large-scale datasets and build models that improve campaign performance, personalize customer engagement, and proactively reduce attrition. About the team; The Acquisition and Retention Analytics team work cross-functionally with marketing, product, and vertical teams to unlock insights from large-scale datasets and build models that improve campaign performance, personalize customer engagement, and proactively reduce attrition. This teams products help insurance carriers and financial institutions identify, attract, and retain high-value customers. This solution leverages advanced analytics, extensive data assets, and proprietary linking technology to optimize customer acquisition and retention strategies. Requirements: Current and extensive model development in Python or PySpark. Possess current work experience in statistical modeling and analysis. Possess domain expertise in Data Science and/or Statistical Analysis, with the capability to develop advanced models and collaborate with cross-functional teams to deploy them into production. Ability to design, scope, and implement new statistical methodologies with guidance and approval from leadership. Works across coding languages used in Data Science (e.g. Python, SQL, and R) Knowledge of machine learning models, with a preference for experience in Natural Language Processing (NLP) or Large Language Models (LLMs), is a plus. Responsibilities Designing and executing data-driven solutions to quantify the performance of acquisition and retention efforts. Identify opportunities to improve conversion, lower churn, and optimize lifetime value through segmentation, predictive modeling, and causal inference. Developing, deploying, and maintaining models (e.g., propensity, churn, response, uplift) using techniques such as logistic regression, random forest, XGBoost, and clustering methods. Working with structured and unstructured data from various sources (internal and external), ensuring quality, consistency, and readiness for modeling and analytics. Partnering closely with marketing, product, data engineering, and vertical business stakeholders to define requirements, align on business goals, and translate insights into actionable outcomes. Designing tests and interpret results to guide marketing strategies, product changes, and retention interventions. Communicating complex analyses and insights to technical and non-technical audiences. Build dashboards and presentations that drive decision-making and transparency. LexisNexis® Risk Solutions provides customers with innovative technologies, information-based analytics, decisioning tools and data management services that help them solve problems, make better decisions, stay compliant, reduce risk and improve operations. Headquartered in metro-Atlanta, Georgia it operates within the Risk market segment of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Benefits Section of Job Description: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: ● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits ● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan ● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs ● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity ● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits ● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts ● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120. Please read our Candidate Privacy Policy .

Our Company Oaktree is a leader among global investment managers specializing in alternative investments, with $203 billion in assets under management as of March 31, 2025.​ The firm emphasizes an opportunistic, value-oriented, and risk-controlled approach to investments in credit, equity, and real estate. The firm has more than 1,200 employees and offices in 23 cities worldwide.​ We are committed to cultivating an environment that is collaborative, curious, inclusive and honors diversity of thought. Providing training and career development opportunities and emphasizing strong support for our local communities through philanthropic initiatives are essential to our culture. For additional information please visit our website at www.oaktreecapital.com Responsibilities As a Senior Data Engineer within Oaktree's Information Solutions team, you will design, build, and maintain scalable and efficient data pipelines using Azure technologies, ensuring data quality, integrity, and availability for various business needs. You will play a crucial role in integrating data from diverse sources, transforming it into meaningful insights, and enabling data-driven decision-making across the organization. Responsibilities include: Designing and implementing scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services. Develop code using ETL and ELT processes to transform data from Bronze to Silver, and Gold layer of maturity of data Ensure DevOps for code development and deployment. Perform Unit testing, system testing, QA testing and integrated engineering. Automated testing. Managing and optimizing data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Synopse, Microsoft Fabric. Developing data models and maintaining data architecture to support data analytics and business intelligence reporting. Ensuring data quality and consistency through data cleaning, transformation, and integration processes. Analyses current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics Services. Technical Responsibilities: Develop and maintain robust data pipelines using Azure Data Factory, orchestrating the flow of data from various sources, including Bloomberg, FactSet, Morningstar, and internal systems. Utilize Azure Databricks (or similar Azure tech stack) to perform data transformations, cleansing, and aggregations, preparing data for analysis and reporting purposes. Implement data quality checks and validation rules to ensure the accuracy, completeness, and consistency of data throughout the data lifecycle. Develop and maintain data models for investment data, ensuring alignment with business requirements and supporting efficient data analysis and reporting. Optimize data storage and retrieval processes using Azure Data Lake Storage, Azure SQL Database, and Azure Cosmos DB, Azure Synopse, or Azure Fabric selecting the most appropriate storage solutions based on data characteristics and performance needs. Collaborate with data scientists and business analysts to understand data requirements and implement data solutions that meet those needs effectively. Contribute to the development and maintenance of documentation related to data pipelines, data models, and data quality processes. Qualifications Bachelor’s degree in Computer Science, Finance, or other relevant discipline. 10+ years of experience in data and analytics space and 8+ years of experience in job specific work. Knowledge of the asset management industry and asset classes to bridge business and technology for data solutions. Strong understanding of key data concepts (e.g., Portfolio Construction, Security/Account Reference data, AUM, Investment Results/Attribution, Index/Benchmark). Experience with industry data (e.g., Bloomberg, FactSet, Morningstar, ESG, Index, alternative data). Hands-on experience with data warehouse, data lake, and cloud solutions, collaborating with data engineering teams. Personal Attributes Relationship Building ; works effectively with strong, diverse teams of people with multiple perspectives, talents, and backgrounds. He or she is known for doing what is best irrespective of politics and is comfortable with consensus building (at multiple levels) and soliciting constructive feedback; ability to elicit cooperation from a wide variety of participants including upper management, clients, other departments, and 3rd party providers. Communication ; strong interpersonal and verbal/written communication skills; ability to present complex material. Independence & Collaboration ; experience at working both independently and in a team-oriented, collaborative environment; must be able to drive work effectively with limited supervision (at times) while representing department and executive management interests and concerns. Work Ethic ; focus on continual development, performance, accountability, and self-motivation. Flexibility & Organization ; adapt to shifting priorities, demands and timelines through analytical and problem-solving capabilities; proven ability to multi-task and efficiently manage time across competing activities/resources; able to effectively prioritize, execute tasks, and thrive in a high-pressure fast paced environment. Intellectual Curiosity ; energized by learning new things and engaging across a wide range of issues; must have strong problem solving skills; understand the importance of attention to detail, adept at conducting research into project-related issues and products; displays a technical aptitude that lends itself to learning and mastering new technologies. Driving Results ; sets aggressive timelines and objectives to drive results, conveys a sense of urgency, and drives issues to closure; is a self-starter committed to achieving results and has a strong sense of ownership and follow-through. Judgment ; makes recommendations and decisions that balance a variety of factors. Education Bachelor’s degree in Computer Science, Finance, or other relevant discipline. Base Salary Range $200,000 - $225,000 I n addition to a competitive base salary, you will be eligible to receive discretionary bonus incentives, a comprehensive benefits package and a flexible work arrangement. The base salary offered will be commensurate with experience and/or qualifications, industry knowledge and expertise, as well as prior training and education. Equal Opportunity Employment Policy Oaktree is committed to diversity and to equal opportunity employment. Oaktree does not make employment decisions on the basis of race, creed, color, ethnicity, national origin, citizenship, religion, sex, sexual orientation, gender identity, gender expression, age, past or present physical or mental disability, HIV status, medical condition as defined by state law (genetic characteristics or cancer), pregnancy, childbirth and related medical conditions, veteran status, military service, marital status, familial status, genetic information, domestic violence victim status or any other classification protected by applicable federal, state and local laws and ordinances. This policy applies to hiring, placement, internal promotions, training, opportunities for advancement, recruitment advertising, transfers, demotions, layoffs, terminations, recruitment advertising, rates of pay and other forms of compensation and all other terms, conditions and privileges of employment. This policy applies to all Oaktree applicants, employees, clients, and contractors. Staff members wishing to report violations or suspected violations of this policy should contact the head of their department or Human Resources. For positions based in Los Angeles For those applying for a position in the city of Los Angeles, the firm will consider for employment qualified applicants with a criminal history in a manner consistent with applicable federal, state and local law.

Serverfarm is a leading developer and operator of data centers with over 750+ locations and key customer relationships in 45 countries. We're revolutionizing how data centers operate across North America, Western Europe, and Israel, serving the world's leading technology and hyperscale companies. With Manulife Investment Management's acquisition in 2023 and our award-winning InCommand platform we're positioned for explosive growth as AI adoption and cloud migration drive unprecedented demand for data center capacity. A career at Serverfarm means being at the forefront of digital infrastructure innovation, where your work directly impacts how the world's data is managed and secured. As we target 4x growth over the next four years, you'll have unprecedented opportunities to take on new challenges, develop cutting-edge skills, and grow your career across our expanding global operations. Join our team of innovators and help shape the future of sustainable data centers while building a career without boundaries. Role This role will support delivery of the Ops Engineering 2025 Goals. The Senior Field Engineering role will directly be responsible for conducting postmortems following all Impacting Events and Near misses and adjust the commissioning deliverables accordingly to improve initial system quality. Senior Engineers are hands-on builders and the most senior individual contributors working on innovative solutions for our most challenging problems. The Data Center Senior Field Engineer will support all SERVERFARM data center facilities’ designs to define high-standards and enforce delivering quality and constant improvement for all operational, business and customer requirements for Serverfarm’s global data center portfolio. Authors, champions and advises leadership and engineering teams on standards, best practices and innovative solutions for the most challenging problems to improve quality, reliability, availability, operational efficiencies to support growth. Key Accountabilities Develop and maintain global consistent colocation design standards to drive equivalent resilience in new and existing data centers. Support the deployment of new ServerFarm products in colocation data centers in a consistent way, including liquid cooling and high-density racks and systems to support hyperscale requirements for Cloud-compute, Machine Learning and AI services. Reviews and updates global design standards and generational data center template designs. Support development and operational engineering teams to review and accept proposed changes to site-specific infrastructure at ServerFarm data centers to validate standards, and to identify and document Accepted Deviations when appropriate. Work with internal and external global teams to drive consistent standard solutions to expedite review processes and drive cost efficiency. Set up global strategies to deploy specific customer products or design, and to drive consistency and efficiencies for delivering customer requirements. Functionally decompose complex problems into simple, straight-forward solutions. Documentation, release and management of design guides, standards, specifications and procedures. Assist in the career development of others, actively mentoring individuals and the community on advanced technical issues and helping managers guide the career growth of their team members. 35% domestic and international travel. Required Skills Bachelor’s degree in mechanical, electrical or closely aligned engineering discipline, or commensurate industry experience or military experience in lieu of degree may be acceptable. 5+ years of electrical non-intern engineering experience in Mission Critical facilities including, but not limited to data centers, power generation, oil/gas, and other mission critical facilities and/or infrastructure. (Experienced Engineer) 3+ years of experience defining system-level architecture, performance, and equipment requirements, conceptual designs, project documentation and project delivery and hand-off. 2+ years of experience in developing and presenting business case analysis to senior leadership. Preferred Skills Chartered or Professional Engineer (PE). Experience of working with large global data center providers in multiple regions globally. Knowledge of local building codes and safety regulations in multiple jurisdictions. Ability to develop new concepts through exploration, design, testing and into deployment/mass production. Proven track record in creating and releasing high quality, consistent documentation for processes, standards and procedures. 5+ years of leading root cause analysis of equipment or system failures as well as incident support management. Knowledge of critical data center equipment (Generators, Uninterruptible Power Supplies, Switchgear, Transformers, Power Feeders, Chillers, Plumbing, Fire Detection/Suppression, Air Handling Units, Computer Room Air Handling/Conditioning Units, Chillers, UPS, CRAH, CRAC…). Demonstrated knowledge of electrical design codes in different locations, knowledge working with SPOF. Strong record of mentoring and growing teams. Excellent verbal and writing communication skills. Travel Requirements Regular travel (30% - 25% domestic/5% international) to data center locations to meet with local authorities/utility leaders and internal customers. Occasional travel (5%) to industry conferences to maintain key partner and customer relationships. $160,000 - $180,000 a year The listed salary range for this position is an estimate based on the competitive job market. Final compensation will be based on your own individual skills, experience, and location. The above statements are intended to describe the general nature and level of work being performed in this role. They are not intended to serve as an exhaustive list of all possible responsibilities and duties. We encourage you to apply even if your experience isn't an exact match to the job description.

Company Description PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries—a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare –perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees. Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world’s most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success. Our Mission: We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action. Our Values: To put Human Experience at the heart of organizations so every person can be seen and understood. Energize the customer relationship: Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions. Success starts with me: Personal ownership fuels collective success. We each play our part and empower our teammates to do the same. Commit to learning: Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow. Dare to innovate: We challenge the status quo with creativity and innovation as our true north. Better together: We check our egos at the door. We work together, so we win together. We are seeking an experienced Staff Data Engineer to join our team. The ideal candidate will be responsible for designing, developing, and maintaining our company's data infrastructure, which includes data warehouses, data pipelines, and data integration platforms. The Staff Data Engineer works directly with the data science, analytics, and data quality teams to ensure that the data infrastructure supports the company's business objectives. Duties & Responsibilities: Design, develop, and maintain our data infrastructure, which includes data warehouses, data pipelines, and data integration platforms. Work with the data science, analytics, and data quality teams to ensure that the data infrastructure supports the company's business objectives. Develop and maintain ETL pipelines and data integration workflows. Optimize and fine-tune data structures and queries to ensure high performance and scalability. Develop and maintain data quality and data governance processes. Collaborate with cross-functional teams to define and implement data models that support business requirements and new analytic models and algorithms. Ensure that data is collected, stored, and processed in compliance with data privacy regulations. Develop and maintain documentation for all data-related processes and systems. Stay up-to-date with emerging trends and technologies in the data engineering field. Qualifications Technical Skills: Expertise in SQL and NoSQL databases, data warehousing, and data modeling. Fluency in Python and SQL. Additional data or system languages (e.g. Java, Scala, Go, R) a plus. Experience with data warehousing technologies such as Google BigQuery, Delta Lake, Amazon Redshift or Snowflake. Experience using data pipeline frameworks such as Apache Beam or Apache Spark at scale. Experience with data orchestration / automation frameworks such as Airflow, Databricks and MLFlow. Experience with data modeling and data governance best practices. Experience with data visualization tools such as Tableau or Power BI. Minimum Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 5+ years experience in data engineering, with a track record of designing, developing, and maintaining large-scale data infrastructure. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Preferred Qualifications: Master’s degree in Computer Science, Engineering, or a related field. Experience in machine learning or data science. Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Additional Information for US based jobs: Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class. Pay Transparency Non-Discrimination Notice – Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. The expected base salary for this position ranges from $140,000 to $160,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results. All your information will be kept confidential according to EEO guidelines. Our privacy policy can be found here: https://www.pressganey.com/legal-privacy/

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. Plaid’s Data team is building data insights and models that improve how millions of users understand and grow their financial lives. We're looking for data scientists with experience applying state-of-the-art data analytics techniques to different product areas. We value not only technical know-how, but also creativity, user empathy, and teamwork. You’ll be a data scientist as a part of the Data org, contributing to diverse, high-impact data insights and machine learning challenges. Specifically, you will focus on driving business impact, and production directions through data analysis and potentially help evaluate and improve ML solutions and systems. If you're interested in building state-of-the-art Data/ML solutions to unblock financial freedom for everyone, let's chat! We're guided by our principles including impact, growing together, embracing openness and positivity, and inventing tomorrow; we’re looking for leaders who are motivated by those same principles. Responsibilities Applying your expertise in quantitative analysis, data mining, and data visualization to find insights for improving our API products Conducting large-scale A/B experiments Identifying useful signals that can be fed into machine learning models. Informing and influencing product and engineering teams through your data analysis and presentations Making long-term data science roadmap decisions like how machine learning and data science iteration should be done at Plaid Championing a data-first approach toward decision-making across the entire organization. Qualifications 5+ years of industry experience in a product-focused Data Science role Deep familiarity with SQL and data visualization tools Experiencing conducting large-scale A/B experiments, analyzing results, and translating them into concrete recommendations Familiarity with the AWS stack Understanding of modern machine learning techniques, such as classification, clustering, optimization, deep neural network, and natural language processing Proven ability to tailor your solutions to business problems in a cross-functional team Ability to code and iterate independently in Python to conduct exploratory data analysis Experience building data pipelines in DBT or Airflow is a plus Bachelor's degree or equivalent work experience in Computer Science, Statistics, Engineering, Economics, or a closely related field Target base salary for this role is between $155,520 and $232, 200 per year. Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com. Please review our Candidate Privacy Notice here .

Planned Parenthood is the nation’s leading provider and advocate of high-quality, affordable sexual and reproductive health care for all people, as well as the nation’s largest provider of sex education. With more than 600 health centers across the country, Planned Parenthood organizations serve all patients with care and compassion, with respect, and without judgment, striving to create equitable access to health care. Through health centers, programs in schools and communities, and online resources, Planned Parenthood is a trusted source of reliable education and information that allows people to make informed health decisions. We do all this because we care passionately about helping people lead healthier lives. Planned Parenthood Federation of America (PPFA) is a 501(c)(3) charitable organization that supports the independently incorporated Planned Parenthood affiliates operating health centers across the U.S. Planned Parenthood Action Fund is an independent, nonpartisan, not-for-profit membership organization formed as the advocacy and political arm of Planned Parenthood Federation of America. The Action Fund engages in educational, advocacy, and electoral activity, including grassroots organizing, legislative advocacy, and voter education. Planned Parenthood values the experience of employees, and our cultural ethos is “In This Together” which aims to support a workplace culture that centers on belonging, learning, and individual recognition. PPFA and the Action Fund seek a Director, Data Architecture & Engineering . This individual will report to the National Director, IT Enterprise Architecture in the Office of the Chief Information Officer (OCIO). Purpose: The Director, Data Architecture and Engineering will play a pivotal role in guiding the organization's technology strategy. By providing expertise and aligning data architecture with the broader enterprise goals, this individual ensures that technology investments are optimized to meet both current operational needs and future strategic objectives. This is achieved through the following actions: ● Enabling business and IT leaders to make investment decisions that balance and prioritize current operational demands, disruptions, and opportunities with the longer-term strategic vision of the organization ● Providing technology guidance, roadmaps, principles, standards, and best practices related to data architecture and engineering ● Supporting the Tech Business Partner team by providing expertise and guidance on data solutions ● Ensuring alignment of data architecture and engineering with the overall enterprise architecture strategy Delivery: This individual will be expected to: ● Develop and maintain a comprehensive data architecture framework that aligns with PPFA's business strategy and supports the organization's data management needs. ● Provide technical leadership and guidance on data engineering projects, ensuring adherence to architectural principles, standards, and best practices. ● Collaborate with stakeholders across the organization to gather data requirements, analyze business needs, and translate them into actionable data solutions. ● Design, implement, and maintain data models, data pipelines, and data storage solutions that meet PPFA's current and future data needs. ● Evaluate and recommend new and emerging data technologies, tools, and techniques to enhance PPFA's data capabilities. ● Champion automation in data engineering workflows to improve efficiency and reduce manual intervention. ● Contribute to the development and maintenance of data governance processes and policies to ensure data quality, integrity, and security. Engagement: This individual will engage with others around the organization in the following ways: ● Partner with the National Director, IT Enterprise Architecture, to ensure alignment of data architecture and engineering with the overall enterprise architecture strategy. ● Collaborate with the Tech Business Partner team to provide expertise and guidance on data solutions, ensuring alignment with business needs and strategic goals. ● Work closely with IT teams, including application development, infrastructure, and security, to ensure seamless integration of data solutions into PPFA's technology ecosystem. ● Engage with business stakeholders to understand their data needs, provide technical guidance, and foster a data-driven culture within the organization. ● Partner with business stakeholders and data analytics teams to support the delivery of data-driven insights and capabilities. ● Communicate effectively with technical and non-technical audiences, translating complex data concepts into clear and concise language. Knowledge, Skills, and Abilities (KSAs): ● 8+ years of experience in data architecture, data engineering, or related roles is required. ● Strong understanding of cloud principles, data modeling techniques, data warehousing principles, and data integration patterns is required. ● Experience with data engineering tools and technologies, including ETL processes, data pipelines, and data storage solutions is required. ● Knowledge of data security best practices and experience implementing data protection measures is required. ● Excellent communication, interpersonal, and collaboration skills are required. ● Bachelor's degree in computer science, information systems, or a related field is preferred, but not required. Travel: 0-10%, as needed Total offer package to include generous vacation + sick leave + paid holidays, individual/family provided medical, dental and vision benefits effective day 1, life insurance, short/long term disability, paid family leave and 401k. We also offer voluntary opt-in for Flexible Spending Account (FSA) and Transportation/Commuter accounts. We value a truly diverse workforce and a culture of inclusivity and belonging. Our goal is to attract qualified candidates and encourage applications from all individuals without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital status, sexual orientation, gender identity, or any other characteristic protected by applicable law. We're committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. PPFA participates in the E-Verify program and is an Equal Opportunity Employer. #LI-SY1 PDN-HR Roles that are denoted as NYC, DC, or both will work a hybrid schedule and are expected to work in their assigned PPFA office a minimum 2 days per week unless the role is denoted as onsite, which requires working onsite full time or 5 days per week.

Mutual of America Financial Group Job Title: VP, Head of Data Management & AI Location: New York, NY or Boca Raton, FL (hybrid) Who We Are: At Mutual of America Financial Group, we help people build the assets they need to achieve greater financial security. Our Company is built upon a solid foundation of integrity, excellence, and social responsibility. We were founded in 1945 to provide small and mid-sized nonprofit organizations with pension and retirement-related services, along with leading customer support. Today, we provide these services also to for-profit companies, as well as to governmental entities, Tribal enterprises, institutional investors, and individuals. We work diligently to understand the needs of our customers so we can help them achieve their financial savings goals. We are committed to bringing talented and motivated people together to help our customers achieve a financially secure future. Role Summary: We are looking for a Head of Data Management & AI to join us to lead a team dedicated to driving value for the business by leveraging data and artificial intelligence to enhance decision-making, performance, and operational efficiency. This leader will own the development and execution of the data and AI strategy, ensuring that all available data is transformed into actionable insights through advanced machine learning models and optimization algorithms. The role encompasses overseeing the creation and evolution of data platforms, supporting business groups in data projects, and building scalable AI solutions that can be used across the organization. The role requires exceptional leadership, communication, and organizational skills, with the ability to balance strategic direction and hands-on execution. You will ensure that data and AI initiatives align with the broader organizational goals and deliver measurable value. Responsibilities: Define data and AI vision, strategy and associated practices. Lead the creation (and assure the ongoing relevance) of the Company’s data and analytics strategy in collaboration with the business. Build partnerships with executive leadership and senior team members to execute on the vision for managing data as a company asset — to exploit data and AI capabilities to maximize the value derived from data assets. Maintain authority and accountability for exploiting the value of enterprise data, and of the AI systems used to augment decision-making. Foster the creation of a data-driven culture and data literacy across the organization. Lead these efforts by developing the small technical team talent and maturing the capability of the organization. Overseeing the collection, storage, management, quality, and protection of data. Implementing data privacy policies and complying with data protection regulations. Manage and support data governance frameworks with continuous improvement to data quality. Effectively communicate the status, value, and importance of data collection to executive members and staff. Oversee data platform execution, lead the implementation and continuous optimization of the organization’s defined data platform, ensuring it efficiently supports AI, machine learning, and analytics capabilities across all departments. AI strategy implementation and scaling, oversee the execution and scaling of the pre-defined AI strategy, ensuring that AI models, algorithms, and processes are deployed effectively across key areas. Manage the development, refinement, and deployment of cutting-edge AI models and pipelines across various applications. Develop and implement comprehensive AI governance frameworks, including policies, standards, and best practices. Collaborate with internal stakeholders (e.g. engineers, data scientists, product managers) to integrate AI governance principles into project development and deployment. Data-driven optimization: Lead efforts to apply AI for performance optimization across the business, including leveraging machine learning for real-time simulations, anomaly detection, and data-driven optimization Cross-functional AI integration: Work closely with technical and business teams to ensure AI solutions are effectively integrated into workflows. Innovation and continuous improvement: Ensure that the AI and Data teams remain on the cutting edge by exploring emerging technologies thus promoting a culture of innovation to maintain a competitive edge. Collaborate on data projects: Partner with business units to ensure successful execution of critical data projects that have already been scoped. Leadership & team development: Manage and mentor a team of AI and Data specialists, data scientists, and engineers, providing guidance to ensure the team delivers impactful results while fostering a culture of high performance, innovation, and adaptability. Required Qualifications: Proven experience in developing and deploying AI/machine learning models and optimization algorithms across multiple domains. Strong leadership skills, with the ability to build, lead, and mentor teams while navigating a dynamic business landscape. Experience building and scaling data platforms that support AI, data engineering, and analytics projects across an organization. Experience working with Amazon data management products and services. Expertise in defining and implementing data strategy, governance, and data management best practices. Strong knowledge of Qlik business intelligence tool Knowledge of relevant cloud-based solutions, particular experience building data strategies in Amazon Knowledge of business intelligence tools such as Qlik Strong knowledge of AI and data technologies including Python Experience with NLP and model interpretability libraries, bringing explain-ability to complex models. Excellent communication and collaboration skills, with the ability to work cross-functionally and manage relationships with multiple business and technical stakeholders. The ability to present complex data and AI insights in a concise, clear manner, making data understandable and actionable to non-technical stakeholders. Demonstrated ability to manage multiple projects, prioritize effectively, and deliver results in a fast-paced environment. Preferred Qualifications: 10 years of leading data teams at an enterprise level 5 years of leading AI teams at an enterprise level Strong knowledge of data warehousing, data lakes and big data technologies Strong knowledge of cloud based (preferably Amazon) data management tools Proficiency in data analysis tools and programming languages like SQL, Python, R. Understanding of data modeling and data architecture principles Proficient with data governance best practices What we offer you: Competitive base salary Annual Bonus Comprehensive Benefits Package (medical, dental, and vision) that starts day one of employment 401(k) Match: 100% Employer Match on up to 6% of employee contributions (Salary and Incentive Comp) Parental Leave: 8 weeks fully paid Paid time off: 28 days plus two floating personal holidays The salary range below describes the minimum to maximum base salary range for this role. The role is also eligible for an annual bonus, whereby total compensation may exceed this range depending on individual and / or company performance. Base Salary Range: $188,800 - $283,100 Visit www.mutualofamerica.com/careers for additional details about life at Mutual of America. You can also follow us on Twitter: @mutualofamerica | Facebook: @mutualofamerica Mutual of America Financial Group provides equal employment opportunity to all qualified employees and applicants for employment regardless of race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, or any other classification prohibited by applicable law.