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Over the last 20 years, Ares' success has been driven by our people and our culture. Today, our team is guided by our core values - Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy - and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry. Job Description The VP, Product: Data and AI is a senior product leader within the central hub, responsible for defining what the firm builds with AI and why - translating the needs of investment professionals, operations teams, IR, legal, and compliance into a coherent AI use-case portfolio that delivers measurable business value. This role owns the AI use-case roadmap, the intake-to-delivery lifecycle, and the AI governance gate process that moves use cases from concept through Legal, Compliance, Risk, and Cyber sign-off into production. The VP serves as the connective tissue between business stakeholders who surface problems, the vertical technology teams, and AI Engineering hub that builds the platform to solve them. This is a strategic and execution-oriented role in equal measure. You will partner with vertical PM tech teams and run discovery with deal teams, IR, and operations; write crisp product specs that engineering can execute against; define success metrics; and manage the use-case funnel across investment and corporate functions. The AI Product Management function owns the demand side of the AI platform: what gets built, in what order, and with what definition of success. Vertical spoke teams in each investment vertical surface use-case demand; the VP, AI Product Management qualifies, prioritizes, and shepherds the most valuable use cases through delivery as centrally-built platform capabilities, applying the two-vertical rule as the primary governance lens for hub vs. spoke build decisions. Key Responsibilities AI Use-Case Strategy & Roadmap Own the enterprise AI use-case roadmap across all firm functions - deal execution, portfolio operations, investor relations, legal & compliance, and firm-wide productivity - with prioritization aligned to business leadership Apply the two-vertical rule as the governing framework: when a use case is applicable across two or more verticals or functions, lead the business case for centralizing on the hub platform rather than rebuilding in each spoke Define and maintain the AI use-case intake funnel: structured discovery, feasibility scoring, value estimation, and sequencing logic that balances strategic impact with engineering capacity Translate high-level business goals (analyst time savings, decision support, operational efficiency) into a portfolio of AI initiatives with clear owners, milestones, and success criteria Stay current on generative AI and agentic capabilities; proactively identify where emerging platform primitives (MCP integrations, A2A workflows, new model capabilities) unlock net-new use cases for the firm Discovery, Scoping & Requirements Lead structured discovery sessions with deal teams, portfolio operations, IR, legal, compliance, and senior stakeholders to surface high-value AI opportunities and translate them into product requirements Produce well-structured product specifications: user stories, workflow diagrams, acceptance criteria, context layer definitions (Firm/Deal/User), retrieval scope, and output format requirements - written to the standard AI Engineering executes against Distinguish between use cases suited for RAG-based retrieval, agentic orchestration, structured extraction, or analytical AI - and articulate the distinction clearly to both technical and business audiences Own MNPI sensitivity classification for each use case; partner with Data Governance, Legal and Compliance during scoping to determine information barrier requirements before engineering engagement For portfolio operations and reporting use cases, collaborate with Data Product Management to ensure Gold-layer data products required for AI retrieval are defined and on roadmap before engineering begins AI Governance Gate & Compliance Own the AI governance gate process end-to-end: producing the use-case submission package for Legal, Compliance, Risk, and Cyber sign-off and driving each use case through the gate to approved status Support the governance submission template and ensure all AI use cases - regardless of vertical or function - follow a consistent review process before production deployment Manage ongoing governance obligations post-deployment: monitoring thresholds, model change notifications, and periodic reviews required by compliance stakeholders Partner with Data Governance on AI-specific policy: retrieval permissioning, audit log requirements, acceptable use definitions, and model output disclaimers Serve as the business-side point of contact for ARB (Architecture Review Board) submissions on AI use cases, coordinating with AI Engineering on technical evidence packages Delivery Partnership & Use-Case Lifecycle Partner with the Principal AI Engineer and AI Engineering team through the full use-case lifecycle: from approved spec through build, evaluation, staged rollout, and production launch Define evaluation criteria and user acceptance tests for each use case - retrieval quality benchmarks, output format adherence, latency thresholds, and qualitative review with business stakeholders Own the feedback loop post-launch: structured user feedback collection, monitoring of observability metrics, and iteration prioritization with AI Engineering Track time-to-value for each use case from intake to production; report use-case portfolio status and business impact to business leadership on a regular cadence Manage the transition of use cases from spoke-built prototypes to hub platform capabilities, coordinating change management with vertical teams and their stakeholders Stakeholder Engagement & Change Management Build and maintain trusted relationships with senior stakeholders across investment verticals -deal professionals, operations, IR, and Legal and Compliance - as the face of the AI product function Run structured demos, pilots, and feedback sessions with business users; translate qualitative feedback into actionable product decisions and communicate decisions back to stakeholders with clear rationale Develop and execute change management plans for AI use-case launches, including user training, adoption tracking, and escalation pathways for issues Partner with the Data & AI PMO on cross-functional coordination, sprint ceremonies, and executive reporting across the AI use-case portfolio Champion responsible AI use within the firm: communicating model limitations, output uncertainty, and appropriate human-in-the-loop requirements to business users Product & Domain Experience 8+ years in product management; 3+ years in an AI, ML, or data product role with direct ownership of LLM or generative AI use cases from discovery through production Demonstrated experience translating complex, knowledge-intensive workflows (legal review, research, financial analysis, report generation) into AI product requirements that engineering teams can execute against Track record of managing multi-stakeholder use-case portfolios with competing priorities across business functions - not just a single product line Experience operating in or closely with regulated industries (financial services, legal, healthcare): familiar with governance gate processes, compliance review requirements, and the discipline of shipping AI responsibly Strong understanding of RAG architectures, agentic workflows, prompt design tradeoffs, and retrieval quality concepts - sufficient to write precise requirements and hold technical conversations with AI Engineering Skills & Competencies Exceptional written communication: able to produce crisp product specs, executive memos, board-ready summaries, and governance submission packages with equal fluency Strong analytical reasoning: able to build business cases, quantify expected value (time savings, risk reduction, revenue support), and defend prioritization decisions with data Highly organized with strong program management instincts - able to run a multi-use-case intake funnel, track parallel workstreams, and keep stakeholders aligned without losing velocity Comfortable operating at both the strategic level (roadmap, prioritization, executive alignment) and the tactical level (writing acceptance criteria, reviewing retrieval results, coordinating rollout) High accountability: takes ownership of outcomes, communicates blockers early, and builds trust with both technical and business partners Preferred Qualifications Private equity, investment banking, asset management experience - familiarity with deal workflows, IC memo process, fund reporting cycles, LP communications, or portfolio monitoring Experience managing AI governance or responsible AI review processes in a regulated environment, including interactions with Legal, Compliance, or Risk functions Familiarity with Databricks, Unity Catalog, or enterprise data platforms - sufficient to understand how data product maturity constrains AI use-case delivery Experience with LLM evaluation frameworks (e.g., RAGAS, LLM-as-judge . click apply for full job details

Job Description Supports and enhances products on larger, more complex or multiple products for enterprise resource planning, budgeting, data warehousing, and financial reporting. Collaborates with Finance and vendors to ensure products and solutions are properly supported. Provides support to ensure all products are functioning optimally, data integrity is intact and financial reports are in alignment with are produced timely and accurately. Participates in implementing or enhancing products and solutions following the hybrid product/project development and implementation lifecycle. Highly Preferred: Epic Security Certified Job Responsibilities: Supports various financial systems within the portfolio, following the support model, while providing excellent customer service to all customers and end users. Analyzes and troubleshoots production problems; escalates issues and executes solutions. Works as a project / product lead on larger, more complex projects and/or on multiple projects and solutions. Collaborates with multiple product teams and solution teams, IT and Business Product Managers, IT Business Solutions Leads, and other key stakeholders. Implements or enhances systems, following the software and solution delivery lifecycle and hybrid project management methods. Maintains direct responsibility for successful outcome of assigned project(s) and solutions; interacts with end users to assist in collecting, documenting, and analyzing business requirements; communicates clearly and timely with customers and end users. Creates clear, technical designs, and specifications; develops solutions and communicates requirements to external developers. Develops, coordinates, and executes detailed test plans. Trains end users and documents processes for knowledge transfer. Identifies and documents solution related risks and issues; providing guidance and documentation, including scope of work, objectives, timelines, and quality of deliverables. Follows policies to ensure business requirements are appropriately translated and communicates risks to stakeholders. Keeps current with new functionality or technical offerings related to financial systems as well as with accounting concepts pertinent to healthcare finance. Recommends and implements improvements to end user processes as they relate to financial systems. Operates under limited guidance and work assignments involve moderately complex to complex issues where the analysis of situations or data requires in-depth evaluation of variable factors. Performs related duties as required. All responsibilities noted here are considered essential functions of the job under the Americans with Disabilities Act. Duties not mentioned here, but considered related are not essential functions. Job Qualification Bachelor's Degree required, or equivalent combination of education and related experience. Master's degree in Computer Science, Business, or Engineering, preferred. 3-5 years of relevant experience, required. Excellent strategic thinking, project management, and time management skills, preferred. Strong organization, communication, and collaboration skills, preferred. Additional Salary Detail The salary range and/or hourly rate listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future.When determining a team member's base salary and/or rate, several factors may be considered as applicable (e.g., location, specialty, service line, years of relevant experience, education, credentials, negotiated contracts, budget and internal equity).

Wintrust provides community and commercial banking, specialty finance and wealth management services through its 16 bank charters and nine non-bank businesses. Wintrust delivers the sophisticated solutions of a large bank while staying true to the relationship-focused, personalized service of our community banking roots. We serve clients in all 50 states with more than 200 branch banking locations in Illinois, southwestern Florida, northwestern Indiana, west Michigan and southern Wisconsin and commercial banking offices in Chicago, Denver, Milwaukee, Grand Rapids, Mich., and in key branch banking locations throughout Illinois. Our people are the heart of our business and we are proud to rank consistently as a top place to work. Wintrust is a $66 billion financial institution based in Rosemont, Illinois, and listed on the NASDAQ Global Select Market under the symbol "WTFC." Why join us? An award-winning culture! We are rated a Top Workplace by the Chicago Tribune (past 12 years) and Employee Recommended award by the Globe & Mail (past 6 years) Competitive pay and discretionary or incentive bonus eligible Comprehensive benefit package including medical, dental, vision, life, a 401k plan with a generous company match and tuition reimbursement to name a few Promote from within culture Why join this team? This position has the opportunity to interface with and have a positive impact on multiple areas of Wintrust's business We hold ourselves accountable to high standards, share wins, operate ethically, and have fun The Senior Cloud Architect helps to develop, maintain and govern Cloud architecture and the technology portfolio roadmaps across multiple Cloud application portfolios. Work across all architectural disciplines, including business (processes/activities/functions/information), application, data, integration, infrastructure, security and technology, and creates and maintains related best practices, patterns and reference architectures. The Senior Cloud Architect facilitates the development, implementation and maintenance of standards, guidelines and statements of direction for company IT system architectures, establishing a framework that constrains the design of systems for the purpose of integration of Hybrid Cloud systems and accessibility of data supporting various interdependent business processes and functions. Works closely with applications system architects, data architects, network technologists, business analysts and other stakeholders to ensure consensus on direction, in line with global strategies for future integration. Focus is often on establishing and maintaining a reusable Cloud architectural blueprint to reduce business costs, improve time-to-market of products and services, improved product quality, and customer satisfaction. Design, architect and implement new Cloud capabilities that address any gaps and provide integrated end to end scalable, enterprise-class services. Has a proven capability to analyze existing products and infrastructure, understand how to leverage existing investments and introduce best of breed, emerging Cloud infrastructures: IaaS, PaaS and SaaS across Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP) or other major cloud computing services. What You'll Do Architectural Blueprinting: Lead the design of scalable, highly available, and fault-tolerant systems and ecosystems in AWS, Azure and GCP. Cloud Strategy: Develop and maintain the cloud roadmap, ensuring alignment with business goals and industry best practices (Well-Architected Framework) Governance & Compliance: Establish guardrails for resource provisioning to ensure security compliance (HIPAA, GDPR, SOC2, etc.) and operational consistency. Infrastructure as Code (IaC): Drive the transition towards a fully automated environment using tools (e.g. Terraform, Pulumi, or CloudFormation) to eliminate manual configuration drift. Migration Orchestration: Lead the strategy for migrating legacy workloads to the cloud (Re-Hosting, Re-Platforming, and Re-Architecting). CI\CD Integration: Partner with DevOps teams to integrate architectural patterns into automated deployment pipelines. Performance tuning: Identify bottlenecks in current architecture and implement caching, CDN, and load-balancing strategies to optimize latency. Technical leadership: Act as final escalation point for complex cloud technical hurdles. Stakeholder Communication: Translate complex architectural decisions into business terms for C-suite executives and non-technical stakeholders. Mentoring: Level up our Cloud Engineers through design reviews, pair programming and architectural workshops. Contribute to the definition of architectural cloud strategies and plans for enterprise's information technology. Conduct assessments, studies, and/or surveys to obtain data; analyzes data to advise and recommend cloud solutions. Participate in key planning sessions to advise and clarify capabilities, limitations, and trade-offs of established enterprise architectures and technology in general. Develop and maintain a strong understanding of enterprise's businesses. Understand current and future needs of the business and align cloud technology roadmap to deliver upon those needs. Identify, analyze, and communicate cloud architecture and integrations options and make recommendations to management. Analyze project requirements with development teams and influence the appropriate technical design at the project level maintaining consistency with architecture vision. Develop architectural diagrams that document project plans and production systems. Develop documentation on recommended cloud solutions that would include relevant research, cost analysis data, risk information, implementation strategies and industry positions. Conduct industry research and evaluations in order to develop cloud solutions to resolve business needs. Contribute to the Architecture Standards and Review Board (ASRB); ASRB capabilities, documentation and processes Responsible for third-party vendor relationships related to area of responsibility. Qualifications 10+ years of experience. 7+ years of experience in Software Engineering or System Administration, with at least 5+ years of Cloud Architecture experience. IT Cloud Architecture, Design, and Implementation utilizing Microsoft Azure, AWS, GCP. Cloud Proficiency: Expert-level mastery of AWS, Azure and or GCP. Deep knowledge of core services (Computing, Storage, Database, Networking, Cloud Governance). IaC Mastery: Proven experience managing production environments via IaC tools (e.g. Terraform, Ansible etc.) Containerization: Deep expertise in Kubernetes (EKS/AKS/GKE) and Docker orchestration. Networking: Strong understanding of VCPs, Subnets, Transit Gateways, DNS, and Hybrid-Cloud connectivity. Multi-Cloud Experience: Experience designing redundancy across two or more cloud providers. Serverless Architecture: Proven track record of deploying event-driven architecture using Lambda, Azure Functions, or Google Cloud Functions. Deep understanding of cloud computing technologies, applications, and trends. Strong cloud migration and cloud management skills with emphasis on cloud resource management and security. Must have excellent written and verbal communication skills, along with interpersonal, customer service skills and leadership skills. Strong knowledge of software development life cycle (SDLC), architecture frameworks, design patterns, and programming concepts. Experience in designing and implementing enterprise-scale cloud systems and applications. Experience in project management, including budget and time management. Ability to work effectively in a fast-paced, dynamic environment with changing priorities. Certifications or 10+ years of experience across a wide range of Information Technology disciplines. Must have at least one of the following Certifications: Professional level Cloud Certifications (e.g. AWS Certified Solutions Architect-Professional) Certifications in Architecture Frameworks (e.g TOGAF, Zachman) Benefits Medical Insurance • Dental • Vision • Life insurance • Accidental death and dismemberment • Short-term and long-term Disability Insurance • Parental Leave • Employee Assistance Program (EAP) • Traditional and Roth 401(k) with company match • Flexible Spending Account (FSA) • Employee Stock Purchase Plan at 5% discount • Critical Illness Insurance • Accident Insurance • Transportation and Commuting Benefits • Banking Benefits • Pet Insurance Compensation The estimated salary range for this role is $117,000.00 - $158,000.00, along with eligibility to earn an annual bonus. Actual salaries may vary based on several factors, such as a candidate's qualifications, skills and experience. From our first day in business, Wintrust has been proud to serve a variety of unique communities and people from all walks of life. To build a company that reflects the communities we serve, we believe that fostering a unique and inclusive workplace where everyone feels valued and empowered to succeed will support our ongoing success. Wintrust Financial Corporation, including community banking and financial services subsidiaries, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability, veteran status . click apply for full job details

Job Description: VP, DATA SCIENCE - GenAI Technology Note: Fidelity will not provide immigration sponsorship for this position The Role This is an individual contributor data science (with a focus on GenAI) role. The Applied GenAI Technology team within Fidelity's Asset Management Technology is looking for a motivated data scientist with proven experience in GenAI-related projects, machine learning, and data science. In this role, the individual leads GenAI projects with diverse scope and complex business and technical challenges. Coordinates with senior business and technology partners to develop solutions to the most complex business analytical needs. Oversees end-to-end process to push code from research to production. Delivers results with clear and measurable impact to the business. Consults with senior business and technology partners to identify priorities and establish analytic goals, as well as form alignment on next steps. Executes on direction for data identification, collection and qualification activities. Presents reports and findings to senior technical and non-technical audiences. Enjoys collaboration and revels in working as part of a team to solve deep applied problems. Able to execute on multiple initiatives in parallel. Plays an active mentorship role to others in the team. You will have: PhD or Master's in Data Science, Computer Science, Statistics, Physics, or Finance (with a background in Statistics), with 7 plus years of industrial experience. Experience working with LLMs for solving data science problems, information retrieval applications, clustering, and coding; emphasis on putting (or working with) LLM-based applications in production Experience working and closely collaborating with an Engineering team, sharing best development practices under a common goal of shipping reliable software Deep expertise in Python, as well as data-centric techniques including engineering principles for building efficient inference tools Experience taking an application from research to production and realizing measurable value from it to the team or firm Ability to work on and drive progress for multiple projects or initiatives at the same time Experience guiding business on identifying AI/ML use cases and optimally contributing to brainstorming sessions or consulting sessions Desires to create a climate that values and rewards contributions, drive, ownership, initiative, and achievement of results Excellent planning, project management, communication, leadership, and research skills Experience communicating results to business stakeholders with a focus on clear, concise, and understandable delivery including conveying statistical findings through data visualizations Enthusiasm for learning new skills and domains, including applying state-of-the-art ML research and LLMs to real-world data challenges The Team We are a GenAI technology team within the Quantitative Research and Investment Technology division in the Asset Management vertical. We partner with investment professionals, portfolio managers, analysts, quants, traders, and other technology teams to build AI/ML and LLM-based solutions that provide insight and drive measurable value. We focus on applied problems that can be taken from the exploratory phase all the way to production. We enjoy learning new skills and appreciate the challenges that come from working with state of the art AI models in a rapidly evolving space. Fidelity's Onsite Working Model Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles. The base salary range for this position is $140,000-285,000 USD per year. Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors. Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation. We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted. Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories. Certifications: Category: Data Analytics and Insights

Job Description: Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead - our policyholders count on us to be there when it matters most. It's a big ask, but it's one that we have the power to deliver when we work together. We collaborate and innovate - pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it's the right thing to do. Pacific Life is more than a job, it's a career with purpose. It's a career where you have the support, balance, and resources to make a positive impact on the future - including your own. We are actively seeking a talented Senior Quantitative Investment Risk Modeler to join the Risk Management team in Newport Beach, CA. This position reports to the Head of Investment Risk Modeling and partners closely with the investment and risk teams across Pacific Life's organizations. As a Senior Quantitative Investment Risk Modeler, you will play a key role in advancing the organization's ability to qualify and quantify the risk profiles of complex and illiquid asset classes and publicly traded investments. How you'll help move us forward: Develop analytics and insights that can support the execution of: Pacific Life Risk Management's oversight of aggregate credit risk across the investment portfolio within risk appetite and supporting stress testing internal capital modeling capabilities Pacific Life Investment's strategies by informing the evaluation of risk and return tradeoffs across asset classes, geographies, and legal entities Develop models for a broad range of asset classes including: Public structured products including CLOs, RMBS, CMBS, and ABS Private ABS inclusive of securities backed by esoteric collateral Residential and commercial mortgage loans Excel in a matrix environment working with other quants in the risk team, senior investment analysts, and portfolio managers. Drive business outcomes, have leadership attributes, and have the aptitude to transform concepts into actionable quant models. The experience you bring: The ideal candidate will be an accomplished professional with an esteemed market reputation and experience with world-class financial services organizations marked by the diversity and complexity of products and geographies. 5-7 years with fixed Income products (required). MFE or PhD degree in quantitative areas such as Finance, Math, Engineering, a related field, or equivalent experience. CFA/FRM designation is preferred. Must have first-hand, in-depth knowledge of investment risk methodologies and quantitative decision-making working with senior portfolio managers Expert-level knowledge and experience in modeling a broad range of investments and applying best practices in quantitative methods and strategies to the investment/risk management process. Experience building investment risk models for a broad range of complex and illiquid assets exposed to corporate credit, residential real estate, and commercial real estate risks, both public and/or privates. Demonstrated ability in asset modeling and derivative valuations and experience in coding in languages such as MATLAB, SAS, R, Python, etc. Demonstrated experience with analytical systems such as Bloomberg, Intex, RiskSpan, FactSet, Aladdin, CoStar, Trepp, Moody's, S&P, etc. You can be who you are. We are committed to a culture of inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential. What's life like at Pacific Life? Visit Base Pay Range: The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $203,760.00 - $249,040.00 Your Benefits Start Day 1 Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off Paid Parental Leave as well as an Adoption Assistance Program Competitive 401k savings plan with company match and an additional contribution regardless of participation You Can Be Who You Are We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential. What's life like at Pacific Life? Visit EEO Statement: Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

Job Description Supports and enhances products on larger, more complex or multiple products for enterprise resource planning, budgeting, data warehousing, and financial reporting. Collaborates with Finance and vendors to ensure products and solutions are properly supported. Provides support to ensure all products are functioning optimally, data integrity is intact and financial reports are in alignment with are produced timely and accurately. Participates in implementing or enhancing products and solutions following the hybrid product/project development and implementation lifecycle. Job Responsibility Supports various financial systems within the portfolio, following the support model, while providing excellent customer service to all customers and end users. Analyzes and troubleshoots production problems; escalates issues and executes solutions. Works as a project / product lead on larger, more complex projects and/or on multiple projects and solutions. Collaborates with multiple product teams and solution teams, IT and Business Product Managers, IT Business Solutions Leads, and other key stakeholders. Implements or enhances systems, following the software and solution delivery lifecycle and hybrid project management methods. Maintains direct responsibility for successful outcome of assigned project(s) and solutions; interacts with end users to assist in collecting, documenting, and analyzing business requirements; communicates clearly and timely with customers and end users. Creates clear, technical designs, and specifications; develops solutions and communicates requirements to external developers. Develops, coordinates, and executes detailed test plans. Trains end users and documents processes for knowledge transfer. Identifies and documents solution related risks and issues; providing guidance and documentation, including scope of work, objectives, timelines, and quality of deliverables. Follows policies to ensure business requirements are appropriately translated and communicates risks to stakeholders. Keeps current with new functionality or technical offerings related to financial systems as well as with accounting concepts pertinent to healthcare finance. Recommends and implements improvements to end user processes as they relate to financial systems. Operates under limited guidance and work assignments involve moderately complex to complex issues where the analysis of situations or data requires in-depth evaluation of variable factors. Performs related duties as required. All responsibilities noted here are considered essential functions of the job under the Americans with Disabilities Act. Duties not mentioned here, but considered related are not essential functions. Job Qualification Bachelor's Degree required, or equivalent combination of education and related experience. Master's degree in Computer Science, Business, or Engineering, preferred. 3-5 years of relevant experience, required. Excellent strategic thinking, project management, and time management skills, preferred. Strong organization, communication, and collaboration skills, preferred. Epic Certified in Dorothy & Comfort highly preferred. Additional Salary Detail The salary range and/or hourly rate listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future.When determining a team member's base salary and/or rate, several factors may be considered as applicable (e.g., location, specialty, service line, years of relevant experience, education, credentials, negotiated contracts, budget and internal equity).

Global Partners LP, a leading diversified energy company, seeks a Senior Director, Data Engineering to shape and execute our enterprise data strategy. Reporting into IT & Data Management, you will lead a team building scalable pipelines, warehouses, and platforms that power analytics, optimize fuel distribution, and support safe, reliable operations across our terminals and gas stations. You'll drive cloud data modernization, governance, and data quality, partnering with leaders across the business in a collaborative, safety- and integrity-focused culture. Responsibilities Define and lead the enterprise data engineering strategy for Global Partners LP. Oversee design and operation of scalable data pipelines, warehouses, and lakehouses. Partner with IT, logistics, and business leaders to enable analytics and optimization of fuel distribution and terminal operations. Establish data governance, quality, and security standards aligned to safety and regulatory needs. Lead and mentor a high-performing data engineering team and manage vendor partners. Drive adoption of modern cloud data platforms and advanced planning tools. Collaborate with data scientists and analysts to deliver trusted, timely data products. Align data engineering roadmap with corporate strategy and innovation initiatives. Required Skills Data engineering architecture Cloud data platforms (AWS/Azure/GCP) ETL/ELT pipeline design Data warehousing and lakehouse design SQL and distributed data processing (e.g., Spark) Data governance and data quality Real-time and batch data integration Team and portfolio leadership Stakeholder and executive communication Analytics and BI enablement