8 jobs found

Disney Entertainment and ESPN Product & Technology Technology is at the heart of Disney's past, present, and future. Disney Entertainment and ESPN Product & Technology is a global organization of engineers, product developers, designers, technologists, data scientists, and more - all working to build and advance the technological backbone for Disney's media business globally. The team marries technology with creativity to build world-class products, enhance storytelling, and drive velocity, innovation, and scalability for our businesses. We are Storytellers and Innovators. Creators and Builders. Entertainers and Engineers. We work with every part of The Walt Disney Company's media portfolio to advance the technological foundation and consumer media touch points serving millions of people around the world . Here are a few reasons why we think you'd love working here: Building the future of Disney's media: Our Technologists are designing and building the products and platforms that will power our media, advertising, and distribution businesses for years to come. Reach, Scale & Impact: More than ever, Disney's technology and products serve as a signature doorway for fans' connections with the company's brands and stories. Disney+. Hulu. ESPN. ABC. ABC News and many more. These products and brands - and the unmatched stories, storytellers, and events they carry - matter to millions of people globally . Innovation: We develop and implement groundbreaking products and techniques that shape industry norms, and solve complex and distinctive technical problems. The Data Product team is seeking a Senior Product Manager II to drive measurement strategy and analytics instrumentation across ESPN's portfolio of digital products. The team sits at the intersection of the analytics and business teams who depend on trusted data and the engineering teams who build the systems that produce it - and this role is where those worlds meet. You'll own instrumentation outcomes across ESPN digital products driving measurement strategy, schema design, and end-to-end delivery across web, mobile, and connected TV. The scope runs the full lifecycle: from defining what gets measured and why, through implementation and validation support, to ensuring downstream teams have the reliable, well-documented data they can build on. Own data collection outcomes for ESPN's digital products - accountable for completeness, accuracy, and usability across your instrumentation domain. Define what gets measured, why it matters, and how behavioral signals and event schemas serve analytics, reporting, and experimentation needs. Convert stakeholder questions into precise instrumentation specs - events, parameters, identifiers, schemas - that engineers can implement without ambiguity across platforms. Drive instrumentation from discovery through launch, orchestrating delivery across Product Engineering, Analytics Engineering, QA, and Platform partners. Work directly with engineering to ensure instrumentation is implemented correctly and meets platform standards - the bridge between measurement intent and technical reality. Configure and operate the analytics platform stack hands-on: implementation, maintenance, and optimization to support reliable, self-service analysis. Proactively identify instrumentation gaps and drive resolution through sharper specs, stronger validation, and tight coordination with engineering and QA. Use data to audit tagging and tracking health, surface improvement opportunities, and shape future measurement decisions. Mentor peer PMs and share instrumentation expertise across the team. You bring deep technical fluency in data collection and instrumentation, strong judgment about what measurement actually matters, and the communication skills to align engineers, analysts, and business leaders. You hold yourself to a standard of data quality that makes the difference between insights organizations trust and data they work around. Basic Qualifications 7 years or more in analytics instrumentation, data product management, or analytics engineering - with a track record of owning outcomes, not just executing tasks Deep hands-on experience designing event-based data models and instrumentation schemas across web, mobile, and connected TV - including event taxonomies, parameter design, identifier strategies, and implementable data contracts Ability to translate ambiguous business questions into precise instrumentation specifications - closing the gap between what stakeholders need to know and what engineers build SQL fluency and hands-on experience in cloud data platforms (Snowflake, Databricks, BigQuery , or equivalent) to validate data quality, investigate anomalies, and own your analysis Experience configuring and operating enterprise analytics platforms at scale - owning implementation, validation, and maintenance, not just strategy Proven ability to orchestrate cross-functional instrumentation delivery across Product Engineering, Analytics, QA, and platform partners A bias for action and an ownership mindset: you solve problems end-to-end and are equally comfortable debugging a data issue and presenting measurement strategy to senior leadership You use AI-enabled tools as a genuine force multiplier - this is how you work, not a skill you're developing Clear, crisp communication: precise technical specs, accessible explanations of instrumentation tradeoffs for non-technical stakeholders, and the ability to influence across engineering, product and analytics Preferred Qualifications Experience with sports, media, or direct-to-consumer digital products at scale Hands-on experience implementing solutions from Adobe's Customer Experience (CX) Analytics suite - Adobe Analytics, Customer Journey Analytics, or Adobe Experience Platform - at enterprise scale Expert understanding of media industry measurement solutions (Nielsen, Comscore ) and how they're implemented and integrated within a major media organization Familiarity with event-driven architectures or streaming data infrastructure and their connection to downstream analytics Experience enabling self-service analytics at scale through standardized metrics frameworks, reporting taxonomies, or dashboarding solutions Working knowledge of data governance, privacy, and consent frameworks (GDPR, CCPA) and their practical implications for instrumentation design Required Education Bachelor's degree in computer science, Engineering, Business, Analytics, or related field, or equivalent practical experience. The hiring range for this position in Bristol, CT is $155,700 - $208,700 and New York City, NY is $163,100 - $218,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Title : Data Architect Location : 4 days in office in Topeka, 1 day remote Type : Perm Role: The Data Architect is responsible for establishing and evolving the organization's data architecture using Databricks as the core data platform. In an early-stage data environment, this role focuses on creating strong data foundations, enabling analytics and reporting, and guiding teams toward scalable, cost-effective data practices. The Data Architect works closely with business and technical stakeholders to translate priority use cases into practical data solutions while avoiding over-engineering. Responsibilities: Define, maintain, and evolve the core data architecture, including conceptual, logical, and physical data models, data flows, integration patterns, and platform standards. Design simple, scalable data flows: Source systems ingestion, Databricks, consumption Establish foundational data models (bronze / silver / gold or equivalent) Define standards for data ingestion, transformation, naming conventions, modeling conventions, access and security, and architectural patterns. Translate business and analytics needs into practical data designs and patterns. Work closely with technology teams on data solutions, focusing on data modeling, integration, MDM, metadata, data warehousing, data lakes, BI, and related domains. Support early analytics, BI, and data science use cases. Guide engineers and analysts on best practices in Databricks. Maintain data architecture roadmaps and priorities. Balance short-term delivery with long-term scalability, articulating tradeoffs, costs, and benefits of different options. Identify technical debt early and propose incremental improvements. Act as a hands-on advisor to resolve complex data issues, not just a governance role. Evaluate emerging technologies and industry trends to guide future investments and modernization efforts. Expectations: Perform responsibilities independently with minimal oversight. Demonstrate clients core competencies that define how we work, collaborate, and lead. These competencies guide day to day behaviors and decision making, ensuring we instill trust, communicate effectively, value differences and deliver strong results. Consistently takes action in alignment with client values. Provides regulatory reporting support, as needed, and partners with other departments to implement effective policies and procedures that support the requirements of applicable statutes and regulation. Knowledge and Skills: Experience: - Minimum of 8-10 years of experience in data architecture including data modeling, data integration, business intelligence (BI), data marts, data lakes and data warehousing, data architecture and data model design. Education: - Bachelor's degree in computer science or related technology degree. - Professional certificate or a graduate degree highly regarded. Interpersonal Skills: - Courtesy, tact, and diplomacy are essential elements of the job. Work involves a high degree of personal contact with others inside and/or outside the organization for purposes of exchanging information, building relationships, or soliciting cooperation. Other Preferred Skills: Experience with Databricks, Azure Data Factory, and Power BI. Strong understanding of modern cloud data architecture, medallion architecture (bronze, silver, gold), and ELT patterns. Must be able to work and travel independently, manage multiple and competing demands.

Job Description: Location: Candidate will work onsite Tuesday, Wednesday, and Thursday, and remotely on Mondays and Fridays. Role Summary The Business Analyst II - ITSM is a mid-level role responsible for leading requirements definition, process design, and delivery support for ServiceNow ITSM and ITOM capabilities. This role works independently with business and IT stakeholders to intake demand, analyze processes, and translate needs into clearly defined, actionable work for IT Dev/Analysts. The BA II plays a critical role in improving service delivery, data quality, and platform adoption by ensuring solutions align with ITIL best practices, enterprise standards, and operational needs. Key Responsibilities Demand Intake & Backlog Management Own intake and triage of enhancement requests across ITSM / ITOM (Run / Grow / Transform alignment) Lead requirement workshops and stakeholder interviews Develop clear user stories, business requirements, and acceptance criteria Prepare and maintain a prioritized backlog of ready work for IT Dev/Analysts Partner with requestors to define acceptance criteria aligned to business outcomes Develop and coordinate User Acceptance Testing (UAT) plans, scenarios, and test cases Facilitate UAT sessions with requestors, ensuring scenarios validate real-world process flows Validate delivered functionality against requirements and confirm expected business outcomes are met Process Design & Optimization Analyze and improve ITSM processes (Incident, Request, Change, Problem, Asset, CMDB) Document current and future state workflows, including roles and ownership (RACI) Identify inefficiencies, automation opportunities, and control gaps Ensure alignment to ITIL best practices and operational support models ServiceNow & Data Requirements Translate business needs into ServiceNow data and configuration requirements Define requirements for CMDB, CSDM alignment, and data lifecycle management Partner with IT Dev/Analysts on Discovery, Service Mapping, and integration use cases Ensure data quality expectations are clearly defined, measurable, and enforceable Delivery Execution Support Participate in sprint ceremonies (planning, backlog grooming, demos, retrospectives) Support user acceptance testing (UAT) and validate delivered outcomes Ensure delivered solutions meet defined business requirements Identify and escalate delivery risks, gaps, or misalignment early Stakeholder Engagement Serve as primary point of contact for assigned services or capability areas Facilitate cross-team discussions to align on requirements and priorities Communicate progress, risks, and decisions clearly to stakeholders Balance competing priorities across business and IT partners Reporting & Continuous Improvement Define and track KPIs across ITSM processes (e.g., ticket quality, SLA performance, volume trends) Develop reporting and dashboard requirements to support operational visibility Analyze trends and recommend improvements to processes and platform usage Support audit, compliance, and governance reporting needs Collaboration & Teamwork Partner with IT Dev/Analysts to translate requirements into scalable solutions Work with Service Desk, Client Support, and operations teams on process improvements Collaborating with architects and platform leads to ensure alignment with standards Engage vendors and system integrators as needed for delivery activities Core Skills Business & Process Skills Strong understanding of IT Service Management (ITIL framework) Process modeling (workflow diagrams, swim lanes, RACI) Requirements gathering and documentation (user stories, epics, acceptance criteria) Strong analytical and problem-solving skills Effective stakeholder facilitation and communication Platform & Technical Acumen Working knowledge of ServiceNow ITSM (tables, workflows, reporting) Familiarity with CMDB, CSDM, Discovery, and Service Mapping concepts Understanding of integrations and enterprise tooling ecosystem Experience defining reporting and Performance Analytics requirements Qualifications - Required 5-8 years of experience in IT, business analysis, or service management roles 3-5 years of experience working with ServiceNow ITSM and/or ITOM Strong understanding of ITIL processes and service operations Proven ability to independently lead requirements and process design efforts Experience working in Agile or hybrid delivery environments Bachelor's degree or equivalent experience preferred Pay Range: $50.00 - $60.00 per hour, depending upon experience. Health & Medical Benefits, 401K, Employee Assistance Program, and Sick Time applicable by state.

Genesis10 is seeking a Lead Data Engineer. This is a hybrid 3-month contract-to-hire position with a client located in Columbus, OH. Candidates can be located in Columbus, OH; Dallas, TX; Charlotte, NC; and Minneapolis, MN. Pay Range: $60.00 - $68.00 per hour based on experience and qualifications Position Overview: The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally inclusive data necessary for the enterprise data and analytics initiatives, following industry standard practices and tools, as well as being interested in leading and developing current team members, while also serving as a technical leader. This position primarily leads the building, managing, and optimizing data pipelines and then moving these data pipelines effectively into production for key data and analytics consumers like business/data analysts, data scientists, or any persona that needs curated data for data and analytics use cases across the enterprise. This role will also test for data quality to ensure data conforms to business rules and is accurate, complete, consistent, and uniform. Primary Responsibilities: Architect, build, and maintain data pipelines Assist with modernizing the data management infrastructure to drive automation in data integration and management Partner with data science teams and business analysts to refine data requirements for analytics initiatives and data consumption needs Train team members across the organization on data pipeline development and data preparation techniques to improve data integration and consumption Collaborate with data governance teams to review, validate, and promote business and data science assets into the curated data catalog for governed reuse Communicate complex technical concepts and results to both technical and non-technical audiences Work effectively both independently and collaboratively across multiple initiatives while meeting aggressive timelines Provide leadership, coaching, and mentoring to team members while fostering professional growth Partner with stakeholders to ensure business requirements are clearly understood and delivered solutions meet organizational needs Anticipate and evaluate emerging technology trends and assess their potential business impact Coach team members through organizational and technical change while serving as a role model Perform other duties as assigned Core Requirements: Bachelor's degree in Computer Science, Statistics, or a related field 7+ years of experience in data management disciplines, including data integration, data modeling, data optimization, data quality, and other areas related to data engineering 7+ years of experience with database programming languages and advanced analytics Experience designing, building, and maintaining production ETL/ELT pipelines Experience with enterprise cloud platforms, preferably AWS, Azure, or GCP Demonstrated ability to communicate complex concepts and results to both technical and non-technical audiences Demonstrated ability to manage multiple priorities independently and collaboratively while meeting aggressive deadlines Strategic mindset with strong analytical and problem-solving skills and a focus on business outcomes Professional presence with the ability to build strong cross-functional relationships Ability to mentor and train junior team members Proven experience leading cross-functional teams Willingness and ability to learn new technologies quickly Preferred Qualifications: Master's degree in Computer Science, Statistics, or a related field Hands-on experience with data testing and validation Experience using data preparation tools Extensive experience with data engineering technologies such as AWS Glue, Lambda, Athena, and other AWS services Expert knowledge of business intelligence (BI) tools Expert experience with open-source and commercial data science platforms Experience working in Agile environments Strong understanding of data management architectures, frameworks, and best practices Proven ability to design, build, optimize, and manage scalable data pipelines Experience working with large, complex, and heterogeneous datasets to build optimized data pipelines and integrated datasets Demonstrated ability to extract business value from large and diverse datasets Experience with DevOps practices, including version control, automated builds, testing, and release management Financial services industry experience preferred Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! About Genesis10: Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most of whom have been working with Genesis10 for 5-20 years The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years Access to an experienced, caring recruiting team (more than 7 years of experience, on average) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website . Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

DivIHN (pronounced "divine") is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent. Visit us at to learn more and view our open positions. Please apply or call one of us to learn more For further inquiries regarding the following opportunity, please contact our Talent Specialist, Abdul at or Saravanakumar at Title: Senior COBOL Programmer - 2 Openings Location: Onsite in Springfield, IL Duration: 6 Months Schedule - Monday Friday: 8 AM - 4:30 PM Working Hours: 37.5 hours per week, with 7.5 hours per day. Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered. Job Description Background and Purpose The organization requires a highly experienced Senior COBOL Programmer to provide development, maintenance, and production support for mainframe-based applications that are critical to business operations. Scope of Work The Senior COBOL Programmer will be responsible for the following activities: Analyze, design, develop, test, implement, and maintain COBOL-based applications running on IBM z/OS or equivalent mainframe environments. Work with JCL, VSAM, CICS, DB2, and other legacy technologies as required. Perform system analysis, code reviews, and troubleshoot production issues in real time. Develop and maintain technical documentation, including design specs, program logic, and operational procedures. Collaborate with technical teams, business analysts, and stakeholders to ensure accurate requirement translation and timely delivery. Ensure compliance with security, audit, and quality standards. Technical Qualifications The Senior COBOL Programmer must meet the following minimum qualifications: 10+ years of experience programming in COBOL on IBM mainframe systems. Extensive experience with JCL, VSAM, CICS, DB2, and mainframe debugging tools. Familiarity with batch processing environments. Experience supporting production systems. Excellent communication and problem solving skills. Performance Standards Code quality meets organization standards with minimal defects. Resolution of production issues within defined SLAs. Deliverables completed on schedule. Documentation maintained in accordance with department requirements. Effective collaboration with team members and stakeholders. Confidentiality & Compliance The contractor must adhere to all organizational policies, data governance, confidentiality requirements, and regulatory standards. About us: DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration. DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. CoverMyMeds' is seeking a Specialist, Data Engineering to join our Data Engineering team. Of note, our Data Engineering Team is a highly technical group of results driven Engineers, Analysts and Architects focused on providing our internal and external clients with high quality, repeatable and scalable data solutions. Together with our various business units, the work our Data Engineering team does ultimately helps get more people the medicine they need to live healthier lives. We are looking for a hands-on Data Engineer who can quickly contribute to the design, development, and support of scalable data pipelines and data solutions. This role focuses on building and maintaining reliable data integrations, transforming complex data into trusted business assets, and supporting analytics and reporting initiatives across the organization. The ideal candidate brings strong Databricks expertise, experience working with large-scale datasets, and the ability to partner effectively with business and technical stakeholders. This individual will help deliver high-quality data solutions while contributing to a collaborative team environment and supporting the growth of junior team members. What You'll Do Data Engineering & Pipeline Development Design, build, and maintain scalable data pipelines that support reporting, analytics, and operational business needs. Develop data ingestion and integration processes from a variety of structured and unstructured data sources. Create and optimize data transformations using SQL, Databricks, and Azure-based technologies. Support both batch and real-time data processing solutions. Implement data quality, validation, and monitoring processes to ensure trusted and reliable data assets. Troubleshoot and resolve data pipeline performance, reliability, and data quality issues. Data Modeling & Business Support Develop conceptual and logical data models based on business reporting requirements. Partner with business stakeholders, analysts, and technology teams to understand data needs and translate them into scalable solutions. Work with application development teams to understand source systems and build efficient data flows into enterprise data environments. Support data governance initiatives through standardization, documentation, and quality controls. Team Collaboration Partner closely with Data Systems Analysts, Analytics teams, and Technology partners to solve business problems with data. Communicate technical concepts clearly to both technical and non-technical audiences. Leverage modern engineering practices and AI-assisted development tools to improve solution delivery and efficiency. Share knowledge and provide guidance to less experienced team members. Minimum Qualifications Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience. 4+ years of experience in a dedicated Data Engineering role. 4+ years of hands-on experience building and supporting data pipelines and data integration solutions. Strong experience with Databricks in a production environment. Strong SQL development skills. Experience working with Azure-based data services. Experience supporting reporting, analytics, systems integration, and data governance initiatives. Demonstrated expertise in conceptual and logical data modeling. Experience working with both structured and unstructured data. Strong written and verbal communication skills. Preferred Qualifications Experience with data streaming and event-driven architectures such as Kafka. Experience with Infrastructure as Code tools such as Terraform. Experience supporting large-scale cloud migration or modernization programs. Familiarity with AI-assisted development tools such as Claude Code, GitHub Copilot, or similar technologies. Experience supporting business-critical applications and highly available data platforms. Experience mentoring junior engineers or providing technical guidance within a collaborative team environment. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $106,500 - $177,500 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!

Delta Defense seeks an Analytics Engineer to build and optimize our modern data stack within the Data Science & AI team. You will design and maintain robust, scalable data models, pipelines, and warehouse solutions that power analytics, reporting, and machine learning for a mission-driven business serving responsible gun owners nationwide. Partner with data scientists, analysts, and business stakeholders to translate requirements into clean, reliable datasets, streamline ELT workflows, and implement best practices in data quality, documentation, and governance, enabling fast, trustworthy insights across the organization.

Please note, this position is designated as flexible, which means the selected candidate may be required to report to the assigned office in Greensboro, NC at least part of the time each week. Technical Summary: We're looking for a Principal Engineer Databricks / Analytics to build on the existing foundation and push it further, faster - hardening its security posture, strengthening its operations and resiliency, and scaling it to meet fast-growing demand for data and AI on sensitive health information. This is a hands-on, senior individual-contributor role for a seasoned technical leader who wants to drive a platform that real teams depend on and in partnership with internal stakeholders be the technical authority for how it's run, secured, and evolved. You-ll technically lead administration, security, operations, and self-service feature enablement as a secure, well-run, well-configure foundation and partner with stakeholders to manage catalog and schema design, data curation, and data governance. If running and scaling a secure, resilient data and AI platform for a mission that matters sounds like your kind of challenge, we'd love to talk. Job Summary: This senior level employee is primarily responsible for influencing and leveraging the technical direction of integrated business and/or enterprise application solutions and for serving as an expert for technical teams. This employee is accountable for ensuring software solutions are managed with full adherence to industry best practices. Essential Responsibilities: Drives the execution of multiple work streams by identifying customer and operational needs; developing and updating new procedures and policies; gaining cross-functional support for objectives and priorities; translating business strategy into actionable business requirements; obtaining and distributing resources; setting standards and measuring progress; removing obstacles that impact performance; guiding performance and developing contingency plans accordingly; solving highly complex issues; and influencing the completion of project tasks by others. Practices self-leadership and promotes learning in others by soliciting and acting on performance feedback; building collaborative, cross-functional relationships; communicating information and providing advice to drive projects forward; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership; influencing, mentoring, and coaching team members; fostering open dialogue amongst team members; evaluating and responding to the strengths and weaknesses of self and unit members; and adapting to and learning from change, difficulties, and feedback. Provides insight into recommendations for complex technical solutions that meet design and functional needs. Serves as an expert for innovative technical solutions that meet design and functional needs. Collaborates with architects and/or software consultants to ensure functional specifications are converted into flexible, scalable, and maintainable solution designs. Provides technical expertise for the development, configuration, or modification of integrated business and/or enterprise application solutions within various computing environments by providing insight, guidance, and an escalation point for the design and coding of component-based applications. Translates business requirements and functional specifications into physical program designs, code modules, stable application systems, and software solutions by partnering with Business Analysts and other team members to understand business needs and functional specifications. Leverages networks to drive collaboration between technical teams, architects, and/or software consultants, and ensure functional specifications are converted into flexible, scalable, and maintainable solution designs. Builds and maintains trusting relationships with internal customers, third party vendors, and senior management to ensure the alignment, buy-in, and support of diverse project stakeholders. Oversees the review and implementation of recommendations of technical solutions across multiple functions. Takes accountability for ensuring specific interfaces, methods, parameters, procedures, and functions support technical solutions and are aligned with architectural designs. Derives an overall strategy of data management, within an established Information Architecture, that supports the business model. Identifies information structures and detail to enable the development and secure operation of new information services. Takes overall responsibility for planning effective information storage, sharing, and publishing within the organization. Sets strategies for effective use of database technology taking account of the complex interrelations between hardware/software. Provides specialist expertise in the development, use, or operation of database management system tools and facilities. Provides expert knowledge in the selection, provision, and use of database architectures, software, and facilities, typically taking responsibility for a team of technical staff. Facilitates and serves as a technical expert for project teams throughout the release schedule of business and enterprise software solutions. Provides expertise and guidance to team members for systems incident responses for complex issues. Fosters and leverages partnerships with IT teams and vendors to ensure written code adheres to company architectural standards, design patterns, and technical specification. Maintains and enhances technical expertise and knowledge of industry trends by attending participating conferences, and developing a network with other IT industry experts. Leads consultation efforts to help ensure new and existing software solutions are developed with insight into industry best practices, strategies, and architectures. Provides expert technical advice and recommendations to others within the organization on matters related to software engineering, including market trends, and new programs and applications. Reviews and verifies resource estimates for complex technical design, coding, and testing efforts. Identifies specific interfaces, methods, parameters, procedures, and functions, as required, to support technical solutions, serving as an escalation point for complex or unresolved issues related to requirements translation. As part of the IT Engineering job family, this position is responsible for leveraging DEVOPS, and both Waterfall and Agile practices, to design, develop, and deliver resilient, secure, multi-channel, high-volume, high-transaction, on/off-premise, cloud-based solutions. Minimum Qualifications: Minimum six (6) years experience working on project(s) involving the implementation of solutions applying development life cycles (e.g., SDLC). Minimum four (4) years in a technical leadership role with or without direct reports. Bachelors degree in Computer Science, CIS, or related field and Minimum ten (10) years experience in software development or a related field. Additional equivalent work experience may be substituted for the degree requirement.