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Work for the IMF. Work for the World. The Office of Budget and Planning (OBP) is part of the Office of the Managing Director and oversees the Fund's administrative and capital budgets, working with an interdepartmental budget community. OBP's work involves budget formulation, negotiation of spending envelopes with each of the Fund's departments and offices, monitoring budget execution, and making mid-year adjustments as needed. The Office is often called on to assess the budget implications of internal policies and new work streams, as well as the consequences of changes in the external environment. Job Summary Under the guidance of the Budget Manager, the selected candidate will perform day-to-day administration of data management in accordance with established procedures in OBP. The incumbent will participate in data management activities and will be involved, amongst other tasks, in data analytics, data visualization, data quality management and other budget system-related activities and initiatives. Responsibilities will span across systems such as Costing, Time Reporting (PeopleSoft), Budget Planning and Analytics (IBM TM1), Budget Reporting (Power BI), interfaces with HR systems (Workday), Capacity Development (Clarizen), Peoplesoft Financials, Travel Management (PeopleSoft), and more generally other Fund wide modernization projects. As new budget-related technologies are rolled out across the Fund, the incumbent will be involved in assessing requirements, business process impact, and data needs, and will participate in solution design and implementation on behalf of OBP. Major Duties and Responsibilities Assists with tasks to support the efficient and effective use of budget systems and performs data management tasks in support of departmental and/or Fund-wide usage. Assists with maintaining relevant technical information and database environments in coordination with ITD, and with ensuring accuracy of data and programs. Assists with designing, building, and optimizing enterprise-grade analytics and visualization solutions using Power BI and Microsoft's (SQL) data stack. The role focuses on transforming complex financial and operational data into actionable insights that support strategic decision-making and operational reporting. Assists with analyzing requirements and ongoing assessments of departmental business needs, and with identifying and implementing technical solutions to simplify business functions and improve information sharing, working collaboratively with ITD. Participates in implementing changes in work processes to improve efficiency and productivity. Participates in the design, development, modification, testing, and implementation of systems and datasets, including functional capabilities, data security, and backup/recovery specifications. Assists with performing ongoing reviews and assessments of the adequacy, suitability, and performance of current budget systems and quality of data. Assists with information and knowledge gathering from internal and external sources. Retrieves and prepares data in response to internal and external data requests. Analyzes and manipulates data with end-user tools and systems to produce necessary data-driven reports and presentations. Uses data visualization in modernizing products. Utilizes advanced knowledge in the field of computer science or software engineering along with advanced knowledge of software development and methodologies to develop prototype solutions for Budget teams. The incumbent supports the inventory and technical assessment of OBP's SQL-based applications, databases, and reports by analyzing SQL objects, mapping data flows and dependencies, and documenting integration points and manual processes. The role evaluates the business needs behind existing shadow systems, identifies redundancies and gaps, and reviews alignment with enterprise platforms such as TM1, IBBIS, Adaptive Planning, the Costing Solution, and Power BI. Based on these analyses, the incumbent recommends strategies for consolidation, migration, optimization, or retirement of SQL-based solutions, and develops decommissioning roadmaps-including timelines, resource needs, and risk mitigation-while producing clear technical documentation such as system inventories, entity relationship diagrams, data flow maps, and gap analyses. Performs other job-related duties as assigned. Minimum Qualifications Educational development, typically acquired through the completion of a university degree, or equivalent, in programming/systems, computer science, statistics, finance, mathematics, economics, or a related field of study, is required. Alternatively, a minimum of two (2) years of experience in a related position at Grade A05, or equivalent, is required. In addition to the qualifications set forth above, the following competencies are preferred: Information systems experience, with prior experience working on supporting financial and/or budget systems and data management. Experience in assessing business system needs, documenting business requirements, and participating in system development lifecycle activities. Experience in performing data analytics, and familiarity with data extraction, data validation and data visualization tools. Ability to plan, organize, and manage multiple activities, often under tight deadlines. Proven competence to handle sensitive and highly confidential matters with discretion and diplomacy. Experience conducting system analysis, documenting business requirements, performing fit-gap assessments, and participating in the system development lifecycle (SDLC). Specialized Skills/ Knowledge Visual Basic, Power Query, DAX, SQL, PL/SQL, Power BI are required and will be assessed through a technical test as part of the selection process. Prior experience with IBM Planning & Analytics (TM1) is desirable. Microsoft Certified Power BI Analyst | Java | JavaScript | Python | R would be an added advantage. Database architecture review, schema analysis, dependency mapping, data migration and archival strategies, data flow and ER diagram documentation. Only candidates who are currently residing in the Washington DC metro area will be considered. This is a one-year contractual appointment. Contractual appointments at the IMF are renewable for up to four years of cumulative contractual service, pending incumbent's performance, budget availability and continuous business need. Department: OBP Office of Budget and Planning Hiring For: A06, A07, A08 The IMF is guided by the principle that the employment, classification, promotion, and assignment of staff shall be made without discrimination against any person. We welcome requests for reasonable accommodations for disabilities during the selection process. Information on how to request accommodations will be provided during the application process.

Why Housecall Pro? Help us build solutions that build better lives. At Housecall Pro, we show up to work every day to make a difference for real people: the home service professionals that support America's 100 million homes. We're all about the Pro, and dedicate our days to helping them streamline operations, scale their businesses, and-ultimately-save time so they can be with their families and live well. We care deeply about our customers and foster a culture where our company, employees, and Pros grow and succeed together. Leadership is as focused on growing team members' careers as they expect their teams to be on creating solutions for Pros. Role Overview: As a Specialist, Data Operations at Housecall Pro, you're a meticulous data steward, ensuring the precision and completeness of our data. You are self motivated, with the ability to work autonomously. You're adept at identifying and resolving data anomalies, diving deep to tackle root causes. Your thirst for learning and commitment to accuracy make you an invaluable asset to our data operations team. Our team is patient, empathetic, hard working, and above all else focused on improving the lives of our service professionals (our Pros). Our success is their success. What you'll be each day: Analyze source and quality of data, identify potential issues and develop custom data migration action plan Resolve data migration issues and provide technical support for the data migration process Communicate consistent trends and opportunities to our product/engineering team for future improvements Create and maintain internal and external process documentation Communicate client information, trends and feedback cross-functionally Innovate on current processes and proactively seek ways to improve the Pro experience Qualifications: Bachelor's degree preferred 2-4 years of full-time customer success, implementation, engineering or data implementation experience Intermediate knowledge and experience with Microsoft Office Suite with proficiency in Excel or Google Sheets Experience with Python a plus Experience using or developing with conversational AI platforms (such as- ChatGPT, GPT-based tools, or other NLP models) a plus Demonstrated experience exceeding customer success or sales metrics Proven success working with cross-functional teams and building strong relationships internally and externally What will help you succeed: Meticulous attention to detail Excellent written/verbal communication skills Strong critical thinking and problem-solving skills Adaptability, drive, and a self-starting attitude Ability to excel in a fast-paced, team environment Founded in 2013, Housecall Pro helps home service professionals (Pros) streamline every aspect of their business. With easy-to-use tools for scheduling, dispatching, payments, and more, Housecall Pro enables Pros to save time, grow profitably, and provide best-in-class service. Housecall Pro's brand portfolio includes Business Coaching by Housecall Pro, a business coaching solution for home services businesses. Our brands are united by a singular mission to champion our Pros to success. We support more than 40,000 businesses and have over 1,800 ambitious, mission-driven, genuinely fun-loving employees across the United States and all over the world. If you want to do work that impacts real people, supported by a team that will invest in you every step of the way, we'd love to hear from you. Housecall Pro celebrates diversity and we are committed to creating an inclusive environment. We are an equal opportunity employer and do not discriminate on the basis of gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. #LI-remote Location Dependent information This role is open to candidates and the expected compensation range for this role is $21.55-$25.35 / hour + 10% variable. The specific hourly rate for the successful candidate will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible to participate in Housecall Pro's the following benefits: health care insurance (medical, dental, vision, disability), employee assistance program, 401(K), flexible time off, paid parental leave, tech reimbursement, and other company benefits. Housecall Pro is growing fast and we're scaling our team to help enable and accelerate our growth. Privacy Notice for California Job Candidates- Housecall Pro #LI-Remote

Make a Difference in YOUR Career! Our vision is both simple and ambitious: to put our drinks on every table. We are the leading global independent beverage solutions provider. We serve a broad range of national and international retailers as well as Global, National and Emerging (GNE) brands. Our products are distributed worldwide from our production sites in Europe, North America, and Australia. Although our own branding may not appear on the labels of the beverages we produce, there is a good chance you are reading this while sipping one of our drinks. Our ambition is to continually improve and it’s what keeps us at the top of our game. We are solutions-based. We are innovative. We seek out new challenges and conquer them. This is our company ethos, but it’s our people’s too: Refresco is at the cutting edge of a fast-moving industry because we have passionate people pushing the boundaries of what’s best. Stop and think: how would YOU put our drinks on every table? Summary: This role leads our North American Master Data Management (MDM) team, which is comprised of analysts, senior analysts, and managers. The MDM team resides within the larger North American Information Systems team, with this role reporting to the leader of Information Systems. Primary areas of focus are the execution of MDM strategy, people development, and enhancing business value derived from master data through strong data governance and stewardship. The MDM team is responsible for the product, equipment, customer, vendor, and financial data domains. Key to success in this role is the ability to anticipate obstacles and problem solve preemptively, while effectively managing conflict and risk. This role is charged with driving a culture of continuous improvement through measurement and optimization. As we continue to execute our growth strategy over the coming years, this position will play an active role in owning the master data preparation and migration in support of the integration of acquired businesses to our SAP platform. Essential Functions: Lead the work activities with full management responsibility for the performance and development of the MDM team. Participate in development and maintenance of data dictionaries, to include identification of business-critical fields. Monitor and extend the peer review program to all data domains Provide reporting coupled with suggested actions to leaders whose teams provide master data inputs, to reduce data quality issues, non-value record maintenance, and process deviation. Identify solutions which improve data architecture, quality, and processes as well as drive the implementation of such solutions. Promote and act to further SAP as the single-version of the truth for master data. Develop understanding of Refresco’s data domains and their integration points. Ensure SOX and process controls are adhered to by all team members through active monitoring and review of team’s work. Conduct root cause analysis for data quality issues through engagement of technical and business teams to identify, sequence, and implement solutions which prevent recurrence. Identify and manage data cleanup projects to improve data accuracy. Responsible for designing and delivering the Master Data Management technology foundation across the entire company. Develop and implement global data management systems, processes and procedures to ensure data accuracy. Measure progress toward business goals by creating clear MDM program metrics, setting a baseline and linking these metrics to business benefit and data value metrics Serve as lead authority on data governance and stewardship for all data domains. Develop and implement a periodic review, inclusive of robust reporting, of all master data to ensure data is current and accurate across business functions, conforms to business rules, and meets data quality standards. Leadership Responsibilities & Competencies: Leads and directs the work of other employees and has responsibility for personnel actions including hiring, performance management, and termination. Supervision may be provided through a team of subordinate supervisors and/or managers. Provides training, direction and instruction and conducts performance evaluations. Provides guidance and training on work standards and expected outcomes. Accountable for planning and evaluating performance, staff training and development, recruitment and may contribute to pay recommendations. Competencies: Leadership - Foster a culture of empowerment by building relationships based on trust, lead courageously on a day-to-day basis, and inspire growth with a clear and ambitious vision that guides the collective effort toward success. Guided by a process & controls centric mindset. Comfortable operating in a dynamic, complex, and changing environment. Able to work independently, adapting as necessary in a change-oriented culture with multiple projects, shifting priorities, and deadline pressure. Strong balance of technical and people skills, demonstrating excellent communication and interpersonal skills; ability to lead cross-functionally and communicate appropriately with diverse stakeholder groups. Proven ability to learn, transfer knowledge, and stay aware of current industry trends and developments. Proactive approach to system, team, and process effectiveness; with an ability to identify, couple, and sequence continuous improvement solutions in a logically balanced manner. Strong desire to solve complex business problems through understanding of business processes, data architecture, business/resource constraints, and system capabilities. Required Skills: Demonstrated mid-level or above proficiency with MS Office Excel, analyzing and manipulating large datasets. Strong oral and written communication skills, including presentation skills (MS Visio, MS PowerPoint). Strong business aptitude, problem solving and troubleshooting skills. Experience participating in technology implementation projects. Strong analytical abilities with experience extracting data and developing reports in an ERP environment. Deep understanding of how the business cycles of order-to-cash, source-to-pay, plan-to-inventory, and record-to-report are managed in an ERP environment Experience leading an MDM team across multiple data domains Understanding of the business functions of a manufacturing enterprise from a finance, supply chain, or business analysis perspective. Strong understanding of how data is used for reporting and transactional activities. Education and Experience: Bachelor’s degree (or significant relevant work experience) and 7 years of relevant professional experience, including 4 years of supervisory experience. 4+ years of hands-on experience as a business or technical user of a large ERP system. Bachelor’s Degree in Business, Mathematics, Engineering, Computer Science, Decision Sciences, or similar field of study preferred Experience in manufacturing or similar industry preferred. Experience with SAP MM, IM/WM, PP, and SD preferred. Project management experience leading cross-functional projects. Experience with defining, writing and implementing business processes and data standards. Demonstrated ability to quickly understand complex technical matters as well as the ability to convey to stakeholders. Certification preferred include: CPA, Six Sigma, PMP, APICS, or similar. A Career with Refresco Refresco is passionate about empowering leaders who reflect our core values and live by our leadership behaviors. These behaviors encourage effective leadership within the business, and focus on leading courageously, empowering individuals, and driving company growth as one team. Joining our team as a people manager means you’ll be encouraged to evolve as a leader who prioritizes the success of both you and your team, to deliver results, whilst bringing your authentic self to work. Refresco offers a competitive salary and comprehensive benefits, which include: Medical/Dental/Vision Insurance    Health Savings Accounts and Flexible Spending Accounts Life and AD&D Insurance   Pet Insurance Legal Benefits 401(k) Savings Plan with Company Match   12 Paid Holidays, Vacation, and Paid Time Off    Well-being Benefits   Discount and Total Reward Programs Join Refresco TODAY and enjoy a rewarding CAREER! Any employment agency, person, or entity that submits a résumé to this career site or a hiring manager does so with the understanding that the applicant's résumé will become the property of Refresco Beverages, Inc. Refresco Beverages, Inc. will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person, or entity. Employment agencies that have agreements with Refresco Beverages, Inc., and have been engaged in a search shall submit résumé to the designated Refresco recruiter or, upon authorization, submit résumé to this career site to be eligible for placement fees. Refresco Beverages US, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity, gender expression, Veteran status, or any other classification protected by federal, state, or local law.

Use Your Power for Purpose Our mission is straightforward: support healthcare decisions that ensure the safe and effective use of medications. Whether you are developing the framework to ensure our evidence is scientifically robust, providing unbiased and medically essential expertise, or exploring ways to bridge data gaps, your role is vital. By ensuring our evidence is sound and offering necessary medical insights, we strive to improve patient care and treatment efficacy. What You Will Achieve In this role, you will: Contribute to moderately complex projects, managing time effectively to meet targets and develop short-term work plans. Take on the role of Data Manager for clinical trials, overseeing Data Monitoring and Management (DMM) activities. Collaborate with partners and colleagues to ensure operational excellence and apply standards while developing data cleaning reports. Maintain high standards across all DMM deliverables and ensure data quality and completeness as specified in the Data Management Plan. Document and share lessons learned during studies to promote cross-study learning. Build strong relationships with local and global subject matter experts (SMEs) to leverage their expertise in systems and processes, proactively identifying issues and developing solutions. Here Is What You Need (Minimum Requirements) BA/BS with at least 2 years of experience or MBA/MS with any years of experience Relevant pharmaceutical industry experience Demonstrated knowledge of data management processes and principles Proficiency in web-based data management systems Working knowledge of electronic document management systems Familiarity with the International Conference on Harmonization, particularly Good Clinical Practices Thorough understanding of clinical study management and regulatory operations processes Effective verbal and written communication skills Bonus Points If You Have (Preferred Requirements) Master's degree Experience using data visualization tools Proficient experience using commercial clinical data management systems and/or EDC products Awareness of regulatory requirements and relevant data standards Strong analytical and problem-solving skills Ability to work collaboratively in a team environment Excellent organizational and time management skills Work Location Assignment: This is a hybrid role requiring you to live within commuting distance and work on-site an average of 2.5 days per week. The annual base salary for this position ranges from $80,300.00 to $133,900.00. In addition, this position is eligible for participation in Pfizer's Global Performance Plan with a bonus target of 10.0% of the base salary. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life's moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site - U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. Relocation assistance may be available based on business needs and/or eligibility. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. Medical

COMPANY OVERVIEW KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR's insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR's investments may include the activities of its sponsored funds and insurance subsidiaries. POSITION OVERVIEW KKR is building out an enterprise Data Operations group to collect, manage, and harness the power of data across our diverse business activities. The Data Operations Center of Excellence (CoE) is a cross-functional team dedicated to formulating and driving KKR's enterprise data strategy while also providing the operating leverage required to bring these strategies and frameworks to life. We are hiring a Vice President within the Data Operations CoE to lead Finance Reporting & Data. This individual will be responsible for driving a transformation program to consolidate financial reporting across multiple internal sources and external fund administrators, creating a unified and scalable reporting model for Finance. The VP will balance strategic leadership and hands-on execution, shaping the roadmap for Finance reporting while also designing, implementing, and running the processes and solutions required for BAU reporting on an ongoing basis. The role requires deep knowledge of finance and fund reporting, strong technical fluency with modern reporting platforms and data tools, and the ability to partner with stakeholders across Finance, Operations, and Technology to deliver timely, accurate, and actionable reporting. ROLES AND RESPONSIBILITY Transformation Leadership: Drive a firmwide program to consolidate and modernize financial reporting across internal sources and fund administrators Reporting Delivery: Own the design, build, and execution of financial reporting processes and outputs (management, investor, and regulatory), ensuring accuracy, timeliness, and consistency Hands-On Solutioning: Actively design reporting models, dashboards, and data pipelines leveraging Snowflake and BI/reporting platforms BAU Oversight: Run day-to-day Finance reporting processes, ensuring robust controls, efficiency, and scalability Stakeholder Partnership: Collaborate with Finance, Operations, and Technology to capture requirements, align priorities, and deliver high-quality reporting outputs Process Improvement: Identify opportunities to automate reporting, reduce manual intervention, and standardize outputs across Finance Data Integration: Oversee integration of administrator and third-party data into core Finance reporting models to enable consolidated views Metrics & Transparency: Define and publish KPIs on reporting timeliness, accuracy, and process efficiency for senior stakeholders QUALIFICATIONS Substantial experience in finance reporting, financial operations, or data/reporting management within asset management with a preference towards alts. Deep expertise in finance reporting processes, including management reporting, fund/investor reporting, and regulatory reporting Hands-on experience with Snowflake (or equivalent cloud data warehouse) and BI/reporting tools (e.g., Power BI, Sigma, Tableau) Proven ability to lead transformation programs that unify reporting across disparate data sources and third-party administrators Strong problem-solving and solution-design skills, with the ability to translate finance requirements into reporting processes and outputs Experience balancing strategic program leadership with hands-on execution in reporting delivery Excellent organizational and communication skills, with the ability to present reporting outputs and insights clearly to senior stakeholders Demonstrated leadership skills, including team management, stakeholder influence, and cross-functional collaboration Strong cultural fit - teamwork, results-oriented, proactive/self-starter, and high integrity PREFERRED QUALIFICATIONS Background in alternative investments or complex multi-asset platforms Experience working directly with fund administrators and integrating administrator data into reporting processes Familiarity with financial systems and their integration into enterprise reporting solutions This is the expected annual base salary range for this New York-based position. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance. Base Salary Range $150,000 - $185,000 USD KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.

Senior Clinical Data Scientist - Applied Data Enablement Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . Truveta was born in the Pacific Northwest, but we have employees who live across the country. Our team enjoys the flexibility of a hybrid model and working from anywhere. In person attendance is required for one week during the year for Truveta Planning Week. For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time. #LI-remote Who We Need Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. This Opportunity We are s e eking a h ighly ski lled and motivated Senior Clinical Data Scientist to join our Catalysts team. This pivotal role focuses on enabling our customers to make informed decisions based on high-quality tutorials and insights into Truveta Data . As a Senior Clinical Data Scientist, you will primarily focus on developing tutorials and enablement studies (approximately 75% of your time), leveraging your expertise in data exploration, analysis, and validation. The remaining 25% of your work will involve presenting and teachi ng these materials to customers, delivering actionable insights that enhance research outcomes. Responsibilities Data expertise: Develop a deep understanding of Truveta Data, its characteristics, and its applications in clinical research. Reporting and recommendations: Create customer-facing reports and tutorials that summarize findings and provide actionable recommendations for research studies utilizing Truveta Data, driven by a prioritization list derived from customer and internal stakeholder needs. Templates and intelligence : Design tailored artifacts and templates for multiple skill levels, serving as key inputs to enhance Truveta’s AI initiatives. Communication: Present findings in both written and oral formats to diverse audiences, including executive-level customers, detail-oriented analysts, and internal product and engineering teams. Engage with customers to understand research needs and effectively communicate results. Studio expertise: Develop a deep understanding of Truveta Studio, our analytical platform. Code development: Write high-quality, reproducible analysis code in SQL, R, Python, and Spark, and share it with internal teams and customers for educational purposes. Required Skills Education: Bachelor’s degree or equivalent in a quantitative field such as computer science, engineering, statistics, mathematics, or economics. Technical skills: Minimum of 3 years of hands-on experience in data analytics, including proficiency in SQL, Spark, R, and/or Python, with a focus on executing data exploration, profiling, and validation projects. Collaboration experience: Proven track record of working effectively with cross-functional teams and communicating complex findings to diverse audiences. Self-motivated: Ability to thrive in a fast-paced environment, demonstrating initiative and delivering high-quality results. Communication skills: Exceptional written and verbal communication skills, with the ability to convey project status, timelines, and project outcomes clearly. AI skills : Proficient in applying generative AI and related tools across workstreams to enhance efficiency and scalability. Preferred Qualifications Healthcare data : Experience working with and analyzing large-scale healthcare data. Teaching experience: Background in teaching coding and data analysis techniques to diverse audiences. Statistical expertise: Experience with statistical programming and methodologies, including time series, survival, and longitudinal analyses . Scientific contributions: Proven track record of publication in peer-reviewed literature, including as first author. Why Truveta? Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together. We Offer: Interesting and meaningful work for every career stage Great benefits package Comprehensive benefits with strong medical, dental and vision insurance plans 401K plan Professional development & training opportunities for continuous learning Work/life autonomy via flexible work hours and flexible paid time off Generous parental leave Regular team activities (virtual and in-person as soon as we are able) The base pay for this position is $155,000 to $170,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options. If you are based in California, we encourage you to read this important information for California residents linked here. Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements. Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.

Senior Data Analyst/Data Analyst Full-Time, Hybrid Summary The Child Health and Development Institute (CHDI) is seeking a Data Analyst or Senior Data Analyst to work on projects related to prevention-focused evidence-based practices in youth substance use and mental health. This position will be primarily responsible for receiving, cleaning, managing, analyzing, and reporting data to support projects in youth substance use and mental health. Responsibilities will also include working closely with community-based providers (e.g., local health districts and departments), schools, and other initiative partners and subcontractors (e.g., project evaluator); supporting trainers with coordination of training plans and materials; supporting training coordination and quality assurance activities; ensuring communication between project staff, trainers, and partners receive training/technical assistance, and providing other technical assistance and support as needed. The hired applicant will have significant experience in public health and epidemiology, and be proficient in database management, data analysis, and reporting at federal, state, and local levels. The individual selected for this position will work on grant- and contract-funded projects at CHDI. Candidates may be considered for the Senior Data Analyst position if they have five or more years of experience in directly related work including lead development of large-scale data projects, project management, and staff supervision. Required Education and Skills Master’s degree in public health in epidemiology and at least three (3) years of post-degree experience in epidemiology, biostatistics, psychology, youth development, or a closely related field. Intermediate to high levels of experience in receiving, cleaning, organizing, and merging large data sets using SPSS/Stata, Excel, and Power BI. A high degree of proficiency with database management, data analysis and statistics, including hands-on experience modifying and maintaining syntax, formulas, and scripts. Experience identifying data trends and writing reports that present data and describe findings. Excellent interpersonal, communication, and project and time management skills Experience creating and managing large data systems used to collect provider-level data. Additional skills and experience that are preferred, but not required, include: doctoral degree; supervisory experience; managing and maintaining online database systems; experience with online survey tools (e.g., Alchemer, Qualtrics, Vertex AI Studio); Machine Learning (ML)/Large Language Models (LLMs); QGIS/mapping; evaluation methods; quality improvement methods; program implementation; advanced statistical analysis; evidence-based practices and training; research methodology; and knowledge of and/or lived experience with youth substance use and health prevention. Specific responsibilities will likely include: Create/collect/manage large datasets, and prepare data for analysis and reporting (e.g., identify missing data, identify and correct data entry errors, merge datasets). Develop and manipulate datasets (e.g., create and use formulas/algorithms and calculations, develop and update scripts/syntax, merge across datasets), analyze data and identify trends using statistical and data visualization software (e.g., SPSS/Stata, Excel, Power BI). Coordinate with community-based providers for technical assistance, such as answering questions and ensuring accurate and timely data entry. Create and manage data systems used to collect provider-level data, including working with data system developers at the state and federal level. Produce reports on one or more grant- or contract-funded projects in youth substance use and mental health that include professional-quality tables, graphs, and figures and written interpretation of findings. Respond to ad hoc data analysis requests both internally and from other stakeholders, and translate findings into actionable steps or recommendations. Provide or support the delivery of feedback to health care providers, school staff, and other state and community partners to support quality improvement processes. Communicate findings, in written and verbal formats, to internal and external stakeholders, which may include conducting data presentations to a variety of audiences as well as opportunities to co-author CHDI and/or peer-reviewed publications. Attend or lead internal and external team meetings to update teams on progress toward deliverables. Collaborate with teams to translate findings into quality improvement and evaluation activities. Other duties as assigned. Compensation This is a full-time position with a salary range of $62,000-$68,000 for a Data Analyst and $72,000–$78,000 for a Senior Data Analyst. Compensation will be determined based oncandidate qualifications and includes a generous benefits package: 403b with employer contribution up to 10%, generous cost sharing of 85% of medical/dental insurance premiums including dependents, life insurance, long-term disability coverage, several ancillary/voluntary benefit plans, 9 paid holidays, up to 22 paid time off days, and paid sick time. About Us The Child Health and Development Institute (CHDI) is an independent, nonprofit organization located in Farmington, CT. CHDI is dedicated to improving the behavioral health and well-being of children in Connecticut and beyond by providing policymakers, providers, educators, and partners with a bridge to better and more equitable systems, practices, and policies. Our core initiative areas include system development and integration, evidence-based and best practice treatment dissemination, comprehensive school mental health, and data analysis & quality improvement. Primary strategic work activities include project coordination and management, data analysis, evaluation, quality improvement, research, consultation, training, technical assistance, and policy/system advocacy. CHDI’s core values of anti-racism, respect, accountability, collaboration, and equitable action have been intentionally and collaboratively designed to reflect the culture we strive to embody and the ways that we approach our work. We aspire to uphold these values to function as change agents who transform our organization, as well as the systems, practices, and policies that promote and support the behavioral health and well-being of children. CHDI is an equal opportunity employer. It’s our policy to provide equal opportunity to qualified individuals, at all levels of employment, regardless of race, color, religious creed, age, sex, gender identity or expression, marital or civil union status, national origin, ancestry, present or past history of mental disability, intellectual disability, learning disability, physical disability, including, but not limited to, blindness, military service, veteran status, pregnancy, genetic information, or sexual orientation. This commitment to equal opportunity applies to decisions related to all aspects of employment. In 2022, 2023, 2024, and 2025, CHDI was named one of the Best Places to Work in Connecticut by the Hartford Business Journal. We are currently operating in a flexible, hybrid work environment with the expectation that employees work from our Farmington, CT office at least one day per week. Therefore, candidates should reside within a commutable distance of Farmington. How to Apply To apply, click the "apply" button in this post. Please upload (1) a Detailed cover letter of interest, and (2) a resume/Curriculum Vitae. NOTE: The job application form may limit you to one document upload. You may either copy & paste your cover letter into the text field provided and upload your resume/CV, or combine your cover letter and resume/CV into a single PDF or Word document before uploading. Applications will be reviewed on a rolling basis until the position is filled. The position is contingent upon continued funding. To view all current openings and learn more about working at CHDI, please visit www.chdi.org/careers. Please note: CHDI requires applicants to have current legal authorization to work in the United States and is unable to sponsor applicants for work visas. The successful candidate's employment is contingent upon the successful completion of a pre-employment criminal background check. Powered by JazzHR

Job Title: Business Analyst (Data Governance and Data Quality Management) Location: Auburn Hills, MI.  Must be local or relocation (out of pocket from day 1).  No exceptions.  HEAVY preference for locals in this group.  NO West Coast candidates (PST) will be considered Duration:  Long-term    Job Type: Contract – W2 Work Type: Hybrid/Onsite Hybrid / on-site 2 days a week in Auburn Hills, MI NOTE: Highlighted Job duties ARE the  REQUIRED SKILLS , please make sure that they have details around these types of duties clearly outlined in their resumes.  Thank you. Location:  Auburn Hills, MI (at least two days on site per week) Business Analyst (Data Governance and Data Quality Management) · Partner with Data Stewards and Information Architects in support of Data Governance and Data Quality Management activities  for the Chief Data & Analytics Office.  · Collaborate with business and technical stakeholders to query/research data sources, and analyze data for various initiatives, include regulatory and operational reporting.  · Responsible for  researching, gathering, and documenting data, metadata, and reference data in our Collibra Data Catalog  to ensure it  aligns with regulatory expectations. · Meet with various stakeholders to gather information, facilitate meetings, conduct research, and document information . · Financial Services / Banking experience preferred .     Kindly please share your resumes to ‪ srikar@isofttekinc.com or ‪(707) 435-3471

Senior Data Modeler/Data Architect Location: Mount Laurel, NJ Duration: Fulltime / Contract Experience: 14-15 + Years Primary Skills: Data Vault, Data modeling with Data analysis and modeling tools (e.g. Power Designer, ERWin, ER/Studio) Job Description: We are seeking a skilled Sr. Data Modeler to join our team and contribute to the design and implementation of scalable and efficient data models. The ideal candidate will have experience with Data Vault techniques, proficiency in Cloud Azure, and good to have working knowledge with Databricks. Responsibilities: Data Modeling: Design and develop data models using Data Vault methodologies to ensure robust, scalable, and flexible data architectures. Create and maintain conceptual, logical, and physical data models to support business requirements. Collaborate with stakeholders to understand data requirements and translate them into effective data models. Implement best practices for data modeling, including normalization, denormalization, and data integration. Data Vault Implementation: Utilize Data Vault techniques to build enterprise data lake and lake house and integrate disparate data sources. Design and implement Hubs, Links, and Satellites to ensure comprehensive data capture and historical tracking. Optimize data vault models for performance and scalability. Cloud Azure: Design and deploy data models on Azure Data Services, including Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics. Ensure data security, compliance, and best practices in Azure environments. Collaboration and Communication: Work closely with data engineers, data scientists, and business analysts to understand data needs and ensure data model alignment. Provide technical guidance and support on data modeling best practices and Data Vault principles. Document data models, data flows, and integration processes clearly and comprehensively. Data Modelling tools Azure: Data analysis and modeling tools (e.g. Power Designer, ERWin, ER/Studio) Requirements: Bachelor s degree in Computer Science, Information Systems, or a related field (Master s degree preferred). Proven experience in data modeling, with a strong focus on Data Vault techniques. Proficiency in Cloud Azure services, including Azure Data Lake, Azure SQL Database, and Azure Synapse Analytics. Understand/Knowledge with Databricks and its ecosystem. Strong understanding of data warehousing concepts, Data Lake house, ETL processes, and data integration techniques. Excellent analytical and problem-solving skills with attention to detail. Strong communication and collaboration skills to work effectively with cross-functional teams. Relevant certifications in Azure and Databricks are a plus.

The Data Engineering and Architecture team at UJA-Federation of New York is seeking an experienced Data Engineer . The ideal candidate will bring strong expertise in Python development for data-intensive applications, coupled with familiarity in Azure DevOps practices and some familiarity with Infrastructure as Code (IaC) approach. This role involves building scalable data pipelines, improving data quality and reliability, and collaborating with cross-functional teams to support analytics, reporting, and machine learning initiatives.  Key Responsibilities Design, build, and maintain robust ETL/ELT pipelines and data workflows using Python.  Implement best practices for data architecture, modeling, and processing at scale.  Collaborate with team members to leverage Azure DevOps for CI/CD, release management, and automated testing.  Ensure compliance with data governance, quality, and security standards.  Mentor junior engineers and contribute to the growth of engineering best practices.  Partner with stakeholders (data scientists, analysts, business teams) to deliver reliable data solutions.  Qualifications 5+ years of professional experience in data engineering or related roles.  Strong proficiency in Python , with proven experience in data-focused frameworks (e.g., Pandas, PySpark, Dask, SQLAlchemy).  Hands-on experience designing and consuming RESTful APIs or GraphQL endpoints.  Solid understanding of cloud environments (Azure preferred).  Hands-on experience with Azure DevOps tools: pipelines, repositories, boards, and artifacts.  Proficiency in SQL and relational databases (e.g., SQL Server, PostgreSQL, MySQL).  Solid experience with data lakes and warehouses (Fabric Data Lakes and warehouses preferred).  Strong knowledge of CI/CD pipelines and version control (Git)  Excellent problem-solving, communication, and collaboration skills.  Preferred Skills Exposure to machine learning workflows and MLOps practices.  Experience using donor management systems (Salesforce NPSP in particular)  Knowledge of containerization a plus (Docker/Kubernetes).  Some familiarity with Infrastructure as Code (IaC) tools such as Terraform, Bicep, or ARM templates is a bonus.  Reports To: Director, Technical Architect Salary Range: $90,000 - $100,000, commensurate with experience and qualifications listed above.  

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries. In this role, the Associate will support the U.S. Banks Data Quality Program by driving compliance with the Firm’s Data Quality Policy and procedures, with a focus on BCBS 239 requirements across Risk and Finance. The Associate role is in the U.S. Banks First Line Business Risk team. This team is responsible for managing risks associated with Data Quality. This role requires regular interaction with other divisions across firm, technology, Bank Business partners, Bank Data Stakeholders, Compliance, Second Line Risk and Internal Audit. Primary Responsibilities Include: Ensure compliance with the Global Data Quality Policy and BCBS 239 standards for prioritized data domains across U.S. Banks. Partner with the Firm Data Office, Divisional Data Offices, and Technology teams to: Conduct data flow analysis. Assess and monitor data quality controls. Identify data owners and catalog metadata in Collibra. Manage annual re-attestation processes. Define solutions including dashboards, automated communications, and data quality management processes. Partner with project and technology teams to enhance controls and optimize data processes. Develop and maintain dashboards and performance metrics for periodic reporting to management committees and senior leadership. Maintain procedural documentation, including desktop procedures, to support consistent execution. Partner with technology teams to ensure data sourcing from authoritative systems to improve data quality. Communicate project progress, risks, and issues to stakeholders with clarity and consistency. Qualifications Bachelor’s degree in Business, Finance, or a related field. Minimum 2 - 3 years of professional experience, ideally within the financial services industry, with demonstrated expertise in data management, governance, quality, lineage, and issue remediation. Advanced proficiency in Microsoft Excel, PowerPoint, Outlook, Word, Visio and other MS Office Tools. Proven ability to collaborate across functions and manage multiple priorities in a fast-paced, Agile environment. Strong Attention to detail and the ability to handle, prioritize multiple tasks and projects concurrently. Highly motivated / self-starter with a sense of accountability & ownership, willingness to learn, and ability to work independently. Excellent written and verbal communication skills. Experience performing business analysis, writing business requirement document, and creating mock dashboards. The ability to work effectively within a local and global team, as well as independently. WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser. Expected base pay rates for the role will be between $57,000 and $115,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

Job Family : Data Science Consulting Travel Required : Up to 25% Clearance Required : Ability to Obtain Public Trust What You Will Do : We are seeking an experienced Data Engineer to join our growing AI and Data practice, with a dedicated focus on the Federal Civilian Agencies (FCA) market within the Communities, Energy & Infrastructure (CEI) segment. This individual will be a hands-on technical contributor, responsible for designing and implementing scalable data pipelines and interactive dashboards that enable federal clients to achieve mission outcomes, operational efficiency, and digital transformation. This is a strategic delivery role for someone who thrives at the intersection of data engineering, cloud platforms, and public sector analytics. Client Leadership & Delivery Collaborate with FCA clients to understand data architecture and reporting needs. Lead the development of ETL pipelines and dashboard integrations using Databricks and Tableau. Ensure delivery excellence and measurable outcomes across data migration and visualization efforts. Solution Development & Innovation Design and implement scalable ETL/ELT pipelines using Spark, SQL, and Python. Develop and optimize Tableau dashboards aligned with federal reporting standards. Apply AI/ML tools to automate metadata extraction, clustering, and dashboard scripting. Practice & Team Leadership Work closely with data architects, analysts, and cloud engineers to deliver integrated solutions. Support documentation, testing, and deployment of data products. Mentor junior developers and contribute to reusable frameworks and accelerators. What You Will Need : US Citizenship is required Bachelor’s degree is required Minimum TWO (2) years of experience in data engineering and dashboard development Proven experience with Databricks, Tableau, and cloud platforms (AWS, Azure) Strong proficiency in SQL, Python, and Spark Experience building ETL pipelines and integrating data sources into reporting platforms Familiarity with data governance, metadata, and compliance frameworks Excellent communication, facilitation, and stakeholder engagement skills What Would Be Nice To Have : AI/LLM Certifications Experience working with FCA clients such as DOT, GSA, USDA, or similar Familiarity with federal contracting and procurement processes What We Offer : Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Benefits: 401(k) matching Competitive salary Health insurance Paid time off About this Role: The Data Architect / Enterprise Data Analyst will provide data strategy, architecture, and analytics expertise to support enterprise data initiatives across the U.S. Department of Health and Human Services (HHS). This role will define and implement data architecture frameworks, data governance standards, and enterprise data management (EDM) solutions to improve data quality, accessibility, security, and interoperability across systems and organizations. The ideal candidate will have experience working in federal data environments, including designing enterprise data models, developing data integration strategies, and supporting data modernization and cloud migration projects. The role also requires strong collaboration skills to work with IT leadership, system owners, data stewards, and mission stakeholders to enable informed decision-making through trusted and well-governed data. Key Responsibilities: · Develop logical data models aligned to HRIT product lines, ensuring full compliance with HHS data governance policies to support the modernization of Human Capital Management (HCM) capabilities. · Develop a comprehensive Data Migration Plan, including a phased migration strategy, data transformation protocols, validation and testing procedures, and rollback contingencies to support the transition to the Target State of HRIT modules. · Support the design, development, testing, and deployment of HRIT applications and APIs, ensuring seamless data integration across a consolidated and modernized HCM platform. · Deliver a comprehensive data integrity approach, ensuring robust data quality checks are in place to support the unified platform. · Collaborate with the Data Governance Architect to establish a robust Data Stewardship framework. · Support the technical team in developing and testing integrations between enterprise systems, leveraging technologies such as Web Services, REST/SOAP APIs, and Integration Broker. Perform rigorous testing to ensure accurate and reliable data transmission across interconnected applications. · Develop reports, queries, and analytics solutions to support business intelligence and operational insights. · Create and maintain technical documentation for all configurations, customizations, and integrations. · Collaborate with functional analysts, DBAs, and infrastructure teams to optimize system performance and reliability. · Support upgrades, patches, and maintenance activities with minimal operational disruption. · Apply federal compliance best practices, including security (NIST), accessibility (Section 508), and records management. · Provide mentorship to junior developers and contribute to team knowledge through code reviews and technical guidance. Qualifications and Skills: · Bachelor’s degree in Computer Science, Information Technology, or a related discipline. · Proficient in SQL and relational database design, supporting scalable and efficient data solutions. · Proven success working within federal government systems or comparable enterprise environments. · At least 10 years of experience working as a Data Analyst, Data Modelling and/or Business Intelligence Domain. · Eligible to obtain and maintain a Public Trust clearance/ must be a US Citizen · Certified in data governance and management (e.g., CDMP, DGCP). · Hands-on experience implementing the Federal Data Strategy and supporting open data initiatives. · In-depth knowledge of the Federal Enterprise Architecture Framework, including HHS EA (HHS-OCIO-OES-2024-10-005). · Skilled in conducting data privacy impact assessments and applying NIST data security guidelines. · Familiar with AI governance, and responsible machine learning practices. · Proficient in cloud-based data governance, master data management, and data architecture principles. · Experienced with business intelligence and data visualization tools. · Knowledgeable in records management standards and federal compliance procedures. Desired Skills and Competencies: Experience supporting HHS or other federal health agencies (CMS, NIH, HRSA, FDA, CDC). Familiarity with federal data policies such as the Federal Data Strategy and CDO requirements. Experience with enterprise data warehouses or data lakes . Certifications such as CDMP, AWS Data Analytics, Azure Data Engineer, or DAMA . Knowledge of FHIR, HL7, NIEM or federal data interoperability standards. Experience with API integrations, service-oriented architecture (SOA), or microservices . Flexible work from home options available. Compensation: $155,000.00 - $160,000.00 per year About Us Our Approach We firmly believe in the uniqueness of every business, necessitating a personalized approach to transformation. This conviction drives us to invest time in comprehending an organization's historical challenges and operational framework. Our commitment is to foster innovation by adopting a tailored strategy that optimizes the utilization of an organization's human resources and data assets. With a wealth of experience, we specialize in guiding organizations through the implementation of post-quantum security, protocols for autonomy, and artificial intelligence. We are committed to working with clients to positively disrupt, modernize, and transform their organizations and business processes. Noteworthy achievements include initiatives aimed at enhancing human resilience in the food supply chain, leveraging autonomy for streamlined operations, establishing root-of-trust capabilities for high-quality, trusted data, and designing ecosystems and tools for securing and transferring digital value through digital wallets. . Our proficiency extends to using artificial intelligence and data to fortify security and enhance visibility in data assets, aiding in the management of health issues at local, state, and national levels. We've developed a modern security posture to effectively mitigate risks associated with cyber attacks from nation-states. Our wealth of experience is underpinned by collaborative work with diverse multidisciplinary teams, thriving in highly complex and rapidly changing environments. Our Mission Imagineeer's mission is to empower transformation through the operationalization of intuition. We establish an innovation pipeline, reimagining operations by delving into data analysis to optimize outcomes for our valued customers. Collaborating closely with our clients, we strive to actualize the inherent genius embedded within their organizational structure. Our efforts focus on the transformation of organizations, emphasizing the development of foundational strengths in key areas, including data, personnel, hypothesis development, and the cultivation of a learning-from-failure mindset.

Transform healthcare with us. At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change. This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board. Join us in shaping the future of healthcare. Job Summary: We're looking for a Staff Healthcare Data Scientist to bridge our robust data infrastructure with high-impact AI applications. You'll analyze downstream use cases, design optimal feature mappings from standardized healthcare data models, and develop sophisticated data transformations that maximize AI application performance. Working at the intersection of clinical knowledge and technical excellence, you'll ensure our platform delivers reliable, actionable insights to healthcare providers. Key Responsibilities: Conduct comprehensive analysis of downstream AI applications to identify optimal data requirements and feature specifications Design and implement featurized data mappings from standardized healthcare data models (FHIR, Epic Clarity, HL7) to application-specific datasets Develop optimized data transformations within Azure Databricks that enhance AI application performance and clinical accuracy Build scalable PySpark workflows that efficiently process large-scale healthcare data while maintaining data integrity Partner with data analysts to develop comprehensive data QC checklists tailored to specific healthcare applications Design and implement automated data quality notebooks and monitoring systems to ensure completeness and clinical validity Collaborate with clinical stakeholders to translate healthcare workflows into optimized data structures and validate feature engineering approaches Establish reusable feature engineering frameworks and data quality metrics aligned with healthcare regulatory requirements Required Qualifications: 6+ years of experience in healthcare data science with demonstrated expertise in clinical data analysis and outcomes research Deep domain knowledge of healthcare data standards (FHIR r4, HL7v2, ICD-10, CPT, SNOMED-CT) and EHR data structures, particularly Epic Clarity Advanced degree in Data Science, Biostatistics, Epidemiology, or related quantitative field Expert-level proficiency in Python data science stack (pandas, scikit-learn, scipy, statsmodels) Extensive hands-on experience with Azure Databricks and PySpark for large-scale healthcare data processing Strong background in statistical modeling, machine learning, feature engineering, and advanced analytics techniques Solid understanding of modern data warehouse architectures and ETL patterns Outstanding communication skills with ability to explain complex analytical findings to both technical and clinical audiences Experience collaborating with cross-functional teams including clinicians, data engineers, and product managers Desirable Skills: PhD in Biostatistics, Epidemiology, Health Informatics, or related field Experience with real-world evidence studies and AI/ML applications in healthcare Background in healthcare regulatory frameworks (HIPAA, HITRUST, FDA guidelines) Experience with clinical decision support systems and quality improvement initiatives Relevant healthcare analytics or data science platform certifications Published research in healthcare informatics or clinical data science Technical Environment: Our data science infrastructure leverages: Azure Databricks + PySpark for large-scale data processing Azure Data Factory for data integration GitHub Actions + Terraform for CI/CD and infrastructure automation Impact & Growth Opportunity: As a Staff Healthcare Data Scientist, you'll play a pivotal role in ensuring our AI platform delivers clinically meaningful insights to healthcare providers. You'll directly influence how cutting-edge AI technologies are applied to real healthcare challenges while working with advanced healthcare datasets. This position offers significant visibility and growth potential as we scale across major health systems. Why Join Qualified Health? This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers. Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation. Our Commitment to Diversity Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status. Pay & Benefits: The pay range for this role is between $170,000 and $240,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits. Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.

About Sprinter Health At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can’t get to a doctor’s office. For many, the ER becomes their first touchpoint with the healthcare system—driving over $300B in avoidable costs every year. By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we’ve supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway. Data is core to how we deliver care, allocate clinicians, and understand population risk—and we’re now building the team to scale that impact. About the Role We’re hiring a Senior / Staff Data Scientist to tackle high-impact problems across logistics, patient behavior, clinical operations, and population health. This is a 0→1 role where your work directly shapes how care is delivered, optimized, and scaled. You’ll turn messy, real-world healthcare data into insights that drive product direction, operational efficiency, and patient outcomes. If you like asking hard questions and using data to solve problems that matter in the real world, this is that opportunity. Office Location We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We care about work-life balance and understand that there will be times where flexibility is needed. What you will do Explore clinical, operational, and patient engagement data to surface actionable insights Analyze routing, capacity planning, and supply-demand dynamics across regions Identify drivers of preventive care engagement and patient follow-through Predict cancellations, risk, and future care needs using behavioral and clinical signals Design and evaluate A/B experiments across product, growth, and operations Support internal teams with dashboards, analytics, and ad hoc decisions Help shape the Data function’s standards, tooling, and processes as an early leader What you have done 5+ years in data science, advanced analytics, or applied data modeling Worked with large, messy datasets to answer ambiguous, high-stakes questions Built dashboards or visualizations using Looker, Tableau, Grafana, Superset, or similar Written high-quality SQL across warehouses like BigQuery, Snowflake, or Redshift Influenced product, ops, or strategy decisions through data insight and storytelling Presented findings to leadership and collaborated with cross-functional teams What gives you an edge Experience with Python, Pandas, Scikit-learn, or ELK (Elasticsearch + Kibana) Exposure to GCP data tools like BigQuery, DataFlow, or DataForm Familiarity with healthcare data (claims, HL7, CCDAs, HIEs) Experience with logistics, routing, or operational optimization problems Designed or analyzed growth experiments or user behavior funnels Communicated insights to C-level stakeholders or mentored junior talent Our Tech Stack Python SQL Superset, Looker, Tableau, Grafana BigQuery, Snowflake, Redshift Elasticsearch / Kibana FHIR, HL7, claims data (bonus) Pandas, Scikit-learn, DataForm, DataFlow What we offer Meaningful pre-IPO equity Medical, dental, and vision plans 100% paid for you and your dependents Flexible PTO + 10 paid holidays per year 401(k) with match 16-week parental leave policy for birthing parent, 8 weeks for all other parents HSA + FSA contributions Life insurance, plus short and long-term disability coverage Free daily lunch in-office Annual learning stipend Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes. Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here . All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. Please ensure that you’re only replying to emails that end with @sprinterhealth.com.

Job Family: Data Science Consulting Travel Required: Up to 10% Clearance Required: Ability to Obtain Public Trust About our AI and Data Capability Team Our consultants on the AI and Data Analytics Capability team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science services, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as intelligent automation. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness. What You Will Do: Design and lead AI/ML and analytics solutions using best-in-class tools and platforms. Translate business challenges into actionable use cases and scalable data and AI products and services. Translate complex business challenges into actionable AI/ML and data solutions using platforms such as Snowflake, Databricks, Azure, AWS, and GCP. Lead client engagements from strategy through implementation, ensuring delivery excellence and measurable outcomes. Mentor and lead multidisciplinary teams including scientists, engineers, and consultants. What You Will Need: US Citizenship is required Bachelor's degree is required. Minimum FIVE (5) years of experience delivering technical solutions and programs to public sector organizations. Experience in data and AI system development, with a proven ability to design scalable architectures and implement reliable models. Strong foundational knowledge and experience in statistics, probability, and experimental design. Experience applying data governance concepts and techniques to assure greater data quality and reliability. Hands-on experience with Python, SQL, and modern ML frameworks. Strong understanding of best practices and techniques to support data and AI products across their entire lifecycle. Knowledge of generative AI and large language models (LLMs) for enterprise use cases. The knowledge and interest to remain current on emerging trends and techniques in the fields of data science and Artificial Intelligence. Strong communication skills to bridge technical and business worlds. What Would Be Nice To Have: Experience with MLOps and CI/CD pipelines for AI/ML deployment. Demonstrated work experience within the public sector. Familiarity with data privacy regulations (GDPR, CCPA) and ethical AI frameworks. Advanced Degree (Master's or Ph.D.) in Data Science, Computer Science, AI, or related field. Experience with API development and integration for data services. Experience supporting business development including RFP/RFQ/RFI responses involving data science / analytics. The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Job Family: Data Science Consulting Travel Required: Up to 25% Clearance Required: Ability to Obtain Public Trust What You Will Do: We are seeking an experienced Data Engineer to join our growing AI and Data practice, with a dedicated focus on the Federal Civilian Agencies (FCA) market within the Communities, Energy & Infrastructure (CEI) segment. This individual will be a hands-on technical contributor, responsible for designing and implementing scalable data pipelines and interactive dashboards that enable federal clients to achieve mission outcomes, operational efficiency, and digital transformation. This is a strategic delivery role for someone who thrives at the intersection of data engineering, cloud platforms, and public sector analytics. Client Leadership & Delivery Collaborate with FCA clients to understand data architecture and reporting needs. Lead the development of ETL pipelines and dashboard integrations using Databricks and Tableau. Ensure delivery excellence and measurable outcomes across data migration and visualization efforts. Solution Development & Innovation Design and implement scalable ETL/ELT pipelines using Spark, SQL, and Python. Develop and optimize Tableau dashboards aligned with federal reporting standards. Apply AI/ML tools to automate metadata extraction, clustering, and dashboard scripting. Practice & Team Leadership Work closely with data architects, analysts, and cloud engineers to deliver integrated solutions. Support documentation, testing, and deployment of data products. Mentor junior developers and contribute to reusable frameworks and accelerators. What You Will Need: US Citizenship is required Bachelor's degree is required Minimum TWO (2) years of experience in data engineering and dashboard development Proven experience with Databricks, Tableau, and cloud platforms (AWS, Azure) Strong proficiency in SQL, Python, and Spark Experience building ETL pipelines and integrating data sources into reporting platforms Familiarity with data governance, metadata, and compliance frameworks Excellent communication, facilitation, and stakeholder engagement skills What Would Be Nice To Have: AI/LLM Certifications Experience working with FCA clients such as DOT, GSA, USDA, or similar Familiarity with federal contracting and procurement processes What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Medica is a nonprofit health plan with more than a million members that serves communities in Minnesota, Nebraska, Wisconsin, Missouri, and beyond. We deliver personalized health care experiences and partner closely with providers to ensure members are genuinely cared for. We're a team that owns our work with accountability, makes data-driven decisions, embraces continuous learning, and celebrates collaboration - because success is a team sport. It's our mission to be there in the moments that matter most for our members and employees. Join us in creating a community of connected care, where coordinated, quality service is the norm and every member feels valued. Design, build, implement, and maintain data storage structures and processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of sources. Develop robust and scalable solutions that transform data into a useful format for analysis, enhance data flow, and enable efficient, cost-effective consumption and analysis of data. Write complex SQL queries to support analytics needs. Evaluate and recommend tools and technologies for data infrastructure and processing, including modern cloud platforms such as Snowflake, Azure, AWS, and data integration tools like Apache Airflow, dbt, Informatica Intelligent Data Management Cloud (IDMC), and distributed processing frameworks such as Apache Spark. Key Accountabilities Designing and implementing scalable data pipelines and storage solutions to support enterprise analytics. Ensuring data quality, integrity, and security across all stages of the data lifecycle. Collaborating with stakeholders to define data requirements and translate them into technical specifications. Monitoring and optimizing performance of data systems and ETL processes. Supporting the deployment and maintenance of data infrastructure in cloud environments. Developing and maintaining complex SQL scripts and stored procedures for data transformation and reporting. Leveraging Informatica IDMC for cloud-native data integration, data quality, and governance workflows. In addition to engineering responsibilities, the Data Generalist component of this role includes: Performing exploratory data analysis and generating actionable insights. Creating dashboards and visualizations using tools like Power BI, Tableau, or Excel. Collaborating with cross-functional teams to align data efforts with business goals. Automating data workflows using scripting languages such as Python or R. Supporting business intelligence initiatives and translating data into strategic recommendations. Documenting data processes and contributing to data governance standards. Applying AI and machine learning techniques to enhance predictive analytics, automate decision-making, and uncover deeper insights from complex datasets. Utilizing preferred AI tools and platforms such as TensorFlow, Azure Machine Learning, scikit-learn, and PyTorch to build and deploy models that support enterprise analytics and innovation. Required Qualifications Bachelor's degree or equivalent experience in related field 5 years of work experience beyond degree Proficient use of SQL Preferred Qualifications Microsoft Certified: (or equivalent cloud) Azure Data Engineer Microsoft Certified: Azure Fundamentals Snowflake SnowPro Core Certification Snowflake Advanced Architect Certification This position is an Office role, which requires an employee to work onsite at our Minnetonka, MN office, on average, 3 days per week. The full salary grade for this position is $98,400 - $168,600. While the full salary grade is provided, the typical hiring salary range for this role is expected to be between $98,400 - $147,525. Annual salary range placement will depend on a variety of factors including, but not limited to, education, work experience, applicable certifications and/or licensure, the position's scope and responsibility, internal pay equity and external market salary data. In addition to base compensation, this position may be eligible for incentive plan compensation in addition to base salary. Medica offers a generous total rewards package that includes competitive medical, dental, vision, PTO, Holidays, paid volunteer time off, 401K contributions, caregiver services and many other benefits to support our employees. The compensation and benefits information is provided as of the date of this posting. Medica's compensation and benefits are subject to change at any time, with or without notice, subject to applicable law. Eligibility to work in the US: Medica does not offer work visa sponsorship for this role. All candidates must be legally authorized to work in the United States at the time of application. Employment is contingent on verification of identity and eligibility to work in the United States. We are an Equal Opportunity employer, where all qualified candidates receive consideration for employment indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. GEICO is looking for a customer-obsessed and results-oriented Product Manager to support our Data Ingestion and Movement platform. This role will help drive product direction for our data ingestion, ETL/ELT pipelines, and data movement services, focusing on enabling reliable data flow into our lakehouse and other data stores. The ideal candidate will have a technical background in data engineering and experience delivering scalable data platforms and data pipeline solutions. Description As a Product Manager for Data Ingestion and Movement, you will be responsible for supporting the product vision and execution for GEICO's data ingestion and movement products. To successfully shape a platform that enables pipeline-as-a-service and supports a scalable data mesh architecture, a strong technical understanding of data pipelines, data integration patterns, data orchestration, ETL/ELT processes, and platform engineering is essential. Your goal is to abstract complexity and empower domain teams to autonomously and efficiently build, deploy, and govern data pipelines. This role also requires stakeholder management skills and the ability to bridge technical solutions with business value. Key Responsibilities Support the development and execution of data ingestion and movement platform vision aligned with business goals and customer needs Help create and maintain a clear, prioritized roadmap for data ingestion and movement capabilities that balances short-term delivery with long-term strategic objectives Support evangelizing the Data Ingestion and Movement platform across the organization and help drive stakeholder alignment Stay abreast of industry trends and competitive landscape (Apache Kafka, Apache Airflow, AWS Glue, Azure Data Factory, Google Cloud Dataflow, etc.) to inform data ingestion strategy Support requirement gathering and product strategy for data ingestion, ETL/ELT pipelines, and data movement services Understand end-to-end data ingestion workflows and how data movement fits into the broader data ecosystem and downstream analytics Support data governance initiatives for data lineage, quality, and compliance in data ingestion and movement processes Ensure data ingestion and movement processes adhere to regulatory, compliance, and data quality standards Partner with engineering on the development of data ingestion tools, pipeline orchestration services, and data movement capabilities Help define product capabilities for data ingestion, pipeline monitoring, error handling, and data quality validation to improve reliability and performance Support customer roadshows and training on data ingestion and movement capabilities Build instrumentation and observability into data ingestion and movement tools to enable data-driven product decisions and pipeline monitoring Work closely with engineering, data engineering, and data teams to ensure seamless delivery of data ingestion and movement products Partner with customer success, support, and engineering teams to create clear feedback loops Translate data ingestion and movement technical capabilities into business value and user benefits Support alignment across multiple stakeholders and teams in complex, ambiguous environments Qualifications Required Understanding of data ingestion patterns, ETL/ELT processes, and data pipeline architectures (Apache Kafka, Apache Airflow, Apache Spark, AWS Glue, etc.) Experience with data integration APIs, connectors, and data pipeline orchestration tools Basic understanding of data pipeline monitoring, observability, and data quality validation practices Experience in cloud data ecosystems (AWS, GCP, Azure) Proven analytical and problem-solving abilities with a data-driven approach to decision-making Experience working with Agile methodologies and tools (JIRA, Azure DevOps) Good communication, stakeholder management, and cross-functional collaboration skills Strong organizational skills with ability to manage product backlogs Preferred Previous experience as a software or data engineer is a plus Strong business acumen to prioritize features based on customer value and business impact Experience with data ingestion tools (Apache Kafka, Apache NiFi, AWS Kinesis, Azure Event Hubs, etc.) Knowledge of data lineage, data quality frameworks, and compliance requirements for data ingestion Insurance industry experience Experience Minimum 5+ years of technical product management experience building platforms that support data ingestion, ETL/ELT pipelines, data engineering, and data infrastructure Track record of delivering successful products in fast-paced environments Experience supporting complex, multi-stakeholder initiatives Proven ability to work with technical teams and translate business requirements into technical product specifications Experience with customer research, user interviews, and data-driven decision making Education Bachelor's degree in computer science, engineering, management information systems, or related technical field required MBA/MS or equivalent experience preferred Annual Salary $88,150.00 - $157,850.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.