data platform manager

UASI - United Audit Systems, Inc.

<div>The Product &amp; Program Manager will be responsible for designing, building, and maintaining the 
organization's enterprise data platform to support scalable operations, reliable reporting, and data-driven 
decision-making. This role serves as the technical owner of data integration across key systems and will 
establish structured pipelines, standardized data models, and quality controls to create a trusted single 
source of truth. 
As the organization continues to scale, this role will play a critical part in modernizing the data 
ecosystem, reducing manual reporting, and enabling governed, self-service analytics. Within the first 
year, the Data Engineer will build foundational pipelines, support platform modernization efforts, and 
improve access to consistent, reliable data across the business. 

Key Duties and Responsibilities: 

Data Engineering &amp; Architecture
<ul>
<li>Design and maintain scalable data pipelines integrating enterprise systems</li>
<li>Build and manage centralized data warehouse structures</li>
<li>Develop ETL/ELT processes to automate data ingestion and transformation</li>
<li>Create standardized, reusable data models aligned with business definitions</li>
</ul>
Data Quality &amp; Reliability
<ul>
<li>Implement automated validation and monitoring to ensure data accuracy</li>
<li>Identify and resolve discrepancies across systems and reports</li>
<li>Establish data lineage and improve dataset performance and reliability</li>
</ul>
Analytics Enablement
<ul>
<li>Partner with stakeholders to deliver optimized, certified datasets</li>
<li>Support self-service analytics while maintaining governance standards</li>
<li>Reduce reliance on manual reporting and ad hoc data request</li>
</ul>
Platform Integration &amp; Collaboration
<ul>
<li>Support system integrations across operational and internally developed platforms</li>
<li>Provide input into platform design and data structure standardization</li>
<li>Collaborate with technical and business teams to align data solutions with business needs</li>
</ul>
Data Governance
<ul>
<li>Support data governance standards, policies, and best practices</li>
<li>Contribute to data definitions, documentation, and cataloging</li>
<li>Promote consistent and accurate data usage across the organization</li></ul> 


Qualifications
<ul>
<li>Bachelor's Degree in Computer Science, Information Systems, or related field (or equivalent 
experience)</li>
<li>4+ years of experience in data engineering, database development, or related roles</li>
<li>Strong SQL and relational data modeling expertise</li>
<li>Experience building ETL/ELT pipelines and data warehouse solutions (Azure preferred)</li>
<li>Cloud platform experience (Azure preferred)</li>
<li>Experience with business intelligence tools (Power BI preferred)</li>
<li>Experience integrating multiple systems into centralized data environments</li>
<li>Experience with low-code platforms (e.g., QuickBase) and programming experience (Python, C#, JavaScript, or similar) preferred.</li></ul> 


UASI provides a growth environment with opportunities for high achievers to be rewarded. We offer 
a benefit package with compensation aligned to contribution and success.</div>

Data Engineer

Apple

The Apple Data Platform team, part of the Services organization, powers analytics and machine learning across Apple. Our mission is to deliver cutting-edge, reliable, and user-friendly infrastructure for data ingestion, storage, processing, and interaction, enabling teams to build data-intensive applications with ease and success. This role sits within the Data Lakehouse team, a part of the Apple Data Platform. The team provides a fully managed Lakehouse solution powered by Apache Iceberg, Iceberg REST Catalog, and custom-built services to manage data at scale. Our platform supports both analytical and machine learning workloads across Apple, serving key products and organizations including Siri, Search, Media, iCloud, News, Apple Intelligence, and Maps. We continuously innovate to meet evolving customer needs and market trends. We seek engineers passionate about building world-class infrastructure products. In this role, you will lead the data lakehouse team, guiding team members in both technical and professional growth. You will collaborate closely with cross-functional teams to lead the planning, execution, and success of technical projects, with a focus on enhancing the experience for Apple&rsquo;s internal customers. 
 
Description 
 
Apple is seeking a highly motivated and experienced Senior Engineering Manager to lead a team responsible for the development and optimization of our core data libraries on our data platform. This role is critical to enabling data-driven decision-making across Apple, powering a wide range of applications from product analytics and machine learning to supply chain optimization and fraud detection. You will be responsible for building and leading a team of talented engineers, driving technical strategy, and ensuring the scalability and performance of our data platform. You will work closely with data scientists, data engineers, and product teams to understand their needs and deliver innovative solutions that leverage the power of cutting edge data processing technologies.&quot;,&quot;responsibilities&quot;:&quot;Team Leadership: Build, mentor, and manage a high-performing team of software engineers specializing in Spark, Iceberg, and related technologies; Foster a culture of collaboration, innovation, and continuous improvement; Provide technical guidance and mentorship to team members, promoting their professional growth; Conduct performance reviews, provide feedback, and identify opportunities for training and development; Manage team workload, prioritize projects, and ensure timely delivery of high-quality solutions. 
 
Technical Strategy and Execution: Define and execute the technical roadmap for our data processing platform, aligning with Apple's overall data strategy; Drive innovation in data processing techniques, exploring new technologies and approaches to improve performance, scalability, and efficiency; Lead the design, development, and deployment of robust and scalable data pipelines using Spark and Iceberg; Ensure the reliability, availability, and security of our data processing infrastructure.; Collaborate with other engineering teams to integrate our data processing technologies with other Apple systems and services. 
 
Stakeholder Management: Partner with data scientists, data engineers, product managers, and other stakeholders to understand their data processing needs and requirements; Communicate technical concepts and solutions effectively to both technical and non-technical audiences; Advocate for best practices in data processing and engineering; Manage expectations and ensure alignment across different teams. 
 
Engineering Thought Leadership: Represent Apple data platform work at external conferences; Deliver presentations, and write blog posts highlighting Apple&rsquo;s leadership in big data processing. 
 
Preferred Qualifications 
 
Proven contributions to open source projects like Spark or Iceberg. 
 
Thought leadership in the community via presentations in conferences or blog posts. 
 
Experience building and growing teams focusing on open source technologies. 
 
Minimum Qualifications 
 
12+ years of software development experience, with a focus on data processing at scale. 
 
8+ years of engineering people management experience-leading, mentoring, and growing teams. 
 
3+ years of experience managing engineering managers. 
 
Deep expertise in open source data platform technologies like Apache Spark and Apache Iceberg. 
 
Excellent communication, interpersonal, and leadership skills. 
 
Strong problem-solving and analytical skills. 
 
BS, MS, or Ph.D. in Computer Science or a related field of study. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $228,100 and $393,800, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Senior Engineering Manager - Core Data Libraries

McKesson

<div>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 &ndash; 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&rsquo;s health today, we want to hear from you.
Position Summary
The Senior Software Development Manager leads multiple engineering teams responsible for delivering reliable, modern data platform and reporting solutions. The role balances people leadership, technical judgment, and delivery accountability while partnering closely with Product, Architecture, and customer-facing functions.
The organization is entering a new era of data‑driven engineering, where modern architectures, AI‑powered insights, and scalable data platforms shape every product and operational decision. As part of this role, the Software Development Manager, will lead teams that are building the foundation of this transformation, driving the evolution from traditional reporting and siloed systems to a unified, intelligent analytics ecosystem centered on Databricks Lakehouse, Looker semantic models, and next‑generation data products.
This role is ideal for leaders and builders who want to drive transformation, deliver impact, and shape a next‑generation analytics platform that empowers every decision across the organization.
Key Responsibilities
Development Manager<ul><li>
During standups, help Scrum team in identifying roadblocks and immediately coordinate removal (stakeholders, tools, process).</li><li>
Schedule ad hoc working sessions when deeper discussion is needed to unblock delivery.</li><li>
For design/architecture reviews: first analyze and propose options; then partner with the Architect to finalize solutions.</li><li>
Align with the Product Manager on the agreed solution and review the scope along with acceptance criteria and dependencies.</li><li>
Pre‑refinement: meet with Product to confirm the next slice of work and recommend developer assignment.</li><li>
Attend and participate in Refinement; ensure readiness for the next sprint(s).</li><li>
Attend Triads (e.g., Product&ndash;Design&ndash;Engineering) to anticipate challenges and coordinate early mitigation.</li><li>
Proactively identify issues; assist with cross-team communications and external coordination.</li><li>
Schedule meetings with requesters or Customer-facing teams (e.g., SAM, RNA, Support, OPS, EDI) when requirements are unclear.</li><li>
Work as Release Manager and manage Production deployment 3 to 4 times a year.</li><li>
Monitor the Global Escalations and respond promptly:<ul><li>
If immediate action is needed, assign a developer and reprioritize their workload.</li><li>
Communicate ETA/updates back to the Escalations group.</li></ul></li><li>
Field inbound requests from internal and Customer-facing teams; triage before assigning.</li><li>
Maintain focused group chats to accelerate issue resolution and information sharing.</li><li>
Attend every meeting developers have with their case requesters, document notes and decisions.</li><li>
Act as gatekeeper for new Reporting requests/features/enhancements:<ul><li>
Gather requirements and clarify scope before engaging the team.</li></ul></li><li>
Perform basic analysis on reported issues before handing off to developers to minimize churn.</li><li>
Track throughput and trends via the Salesforce Reporting Dashboard; use data to drive prioritization and bandwidth allocation.</li></ul>
Ways of Working &amp; Team Culture
<ul><li>Promote and protect a high-trust, collaborative culture.</li><li>
Encourage collective problem-solving.</li><li>
Provide feedback respectfully in 1:1 setting on a regular basis.</li><li>
Help to get team members ready for the next step in their career.</li><li>
Respect team members and peers</li><li>
Expect fast-moving, evolving tickets which involves re-prioritization and balancing act for the team and getting work delivered timely.</li><li>
Advocate for Product Management support to clarify business context.</li></ul><div>
Minimum Requirement
Degree or equivalent experience. Typically requires 9+ years of professional experience and 1+ years of supervisory and/or management experience.
Critical Skills<ul><li>
9+ years in software engineering with 1+ years in people management across cross-functional delivery.</li><li>
Proven success as a Development Manager in Agile/Kanban environments.</li><li>
Strong experience coordinating with Product, Architecture, DBA, and Customer-facing teams.</li><li>
Demonstrated ability to triage escalations, manage release cycles, and maintain clear stakeholder communications.</li><li>
Hands-on familiarity with data platforms with Snowflake, Databricks, Azure Synapse, and BI/reporting ecosystems such as SSRS, PBIRS, Power BI.</li><li>
Solid grasp of Jira, Salesforce Service Cloud workflows.</li><li>
Excellent requirements analysis, prioritization, and risk/impediment management skills.</li><li>
Empathetic, servant leader: protects team focus, delivers candid feedback privately, and creates conditions for high performance.</li></ul>
Nice-to-Have<ul><li>
Healthcare or 340B program domain familiarity.</li><li>
Certifications: CSM/PSM, SAFe, PMP, Azure (Data/Architect), Power BI.</li><li>
Experience building operational dashboards and instrumentation for throughput/quality.</li></ul>
Tools &amp; Stack
<ul><li>Project/Support: Jira (Scrum/Kanban, Fix Versions), Salesforce (Cases, Dashboards), MS Teams</li><li>
Data/Compute: Databricks, Snowflake, Azure Synapse</li><li>
BI/Reporting: SSRS, PBIRS, Power BI + Gateway</li><li>
Languages/DB: SQL, C#, exposure to modern data pipelines preferred</li></ul>
Candidates must be authorized to work in USA. Sponsorship is not available for this role.
Work Environment
Hybrid in Atlanta, GA
Occasional travel ( 10%) for team or stakeholder workshops as needed.
This role is a hybrid position. The selected candidate is expected to work on-site at our Las Colinas office a minimum of two (2) days per week, with the remaining days worked remotely. Specific in-office days may be designated based on team needs and business priorities.</div>
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
$121,400 - $202,400
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson&rsquo;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: careers.mckesson.com.
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&rsquo;s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. 
McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to Disability_Accommodation@McKesson.com.
Join us at McKesson!</div>

Sr. Software Development Manager

Huron Consulting Group

<div><div>Huron helps its clients drive growth, enhance performance and sustain leadership in the markets they serve. We help healthcare organizations build innovation capabilities and accelerate key growth initiatives, enabling organizations to own the future, instead of being disrupted by it. Together, we empower clients to create sustainable growth, optimize internal processes and deliver better consumer outcomes. 
 
Health systems, hospitals and medical clinics are under immense pressure to improve clinical outcomes and reduce the cost of providing patient care. Investing in new partnerships, clinical services and technology is not enough to create meaningful and substantive change. To succeed long-term, healthcare organizations must empower leaders, clinicians, employees, affiliates and communities to build cultures that foster innovation to achieve the best outcomes for patients. 
 
Joining the Huron team means you&rsquo;ll help our clients evolve and adapt to the rapidly changing healthcare environment and optimize existing business operations, improve clinical outcomes, create a more consumer-centric healthcare experience, and drive physician, patient and employee engagement across the enterprise. 
 
Join our team as the expert you are now and create your future.</div><div></div>
This role sits within a strategic investment to embed AI into how we operate, serve customers, and make decisions within our healthcare business. We&rsquo;re building an healthcare-wide AI data and context platform with a focus on deep domain expertise embedded throughout our architecture. Our goals are: 
 
Turn structured and unstructured information into trusted, reusable &ldquo;building blocks&rdquo; (semantic layers, retrieval services, and agent-ready interfaces) that accelerate product innovation 
 
Deliver transformational speed and leverage &mdash;faster time-to-insight, higher automation of knowledge work, and a foundation that scales AI safely and reliably as adoption grows. 
 
Unlock new capabilities across our business. Create the foundation that drives deeper domain innovation and allows cross-domain collaboration to flourish. 
 
This is a hands-on technical leader who builds core AI/context data capabilities and leads delivery through architecture, implementation, and mentorship. The role owns key parts of the AI context platform&mdash;unstructured ingestion, embeddings, retrieval, semantic layers, and governance&mdash;while partnering across teams to ship production-grade AI data products. 
 
This roles does not have direct reports initially. Leadership is through technical ownership and influence.<div></div><div>
Key responsibilities (hands-on + technical leadership)</div><div>
Build and own the AI context platform</div>
Design and implement end-to-end pipelines: ingestion parsing/chunking enrichment embeddings vector indexing<ul><li> retrieval/serving.</li><li>
Build scalable patterns for incremental refresh, backfills, re-embeddings, deduplication, and lineage across unstructured sources.</li><li>
Improve retrieval quality (query strategies, hybrid search, metadata filtering, reranking hooks) in partnership with AI engineers.</li></ul><div></div><div>
Deliver semantic and governed data products</div><ul><li>
Define and implement semantic layers (metrics/entities) that power BI and agent reasoning consistently.</li><li>
Establish data contracts and &ldquo;context contracts&rdquo; for AI inputs (schemas, metadata requirements, freshness, citation expectations).</li><li>
Ensure datasets and indexes are discoverable, documented, and reusable.</li></ul><div></div><div>
Operational excellence</div><ul><li>
Own reliability and performance: monitoring, alerting, SLAs/SLOs, runbooks, incident response, postmortems.</li><li>
Optimize cost and latency across warehouse/lakehouse and vector infrastructure.</li></ul><div></div><div>
AI safety, governance, and compliance</div><ul><li>
Implement security-by-design: RBAC/ABAC patterns, PII redaction, retention controls, audit logging, and safe access pathways for agent tools.</li><li>
Partner with Security/Legal/Compliance on guardrails for AI access to enterprise knowledge.</li></ul><div></div><div>
Lead through influence</div><ul><li>
Drive technical direction and roadmap decomposition with product/AI/application stakeholders.</li><li>
Set best practices for testing, CI/CD, and evaluation (retrieval eval sets, regression tests, online telemetry).</li><li>
Mentor engineers via pairing, code reviews, and lightweight enablement sessions.</li></ul><div></div><div>
Required qualifications</div><ul><li>
6&ndash;10+ years in data engineering/platform roles with significant hands-on delivery.</li><li>
Expert SQL and strong Python (or Scala/Java); strong production engineering habits.</li><li>
Proven experience designing cloud data pipelines and operating them reliably at scale.</li><li>
Experience working with unstructured data processing and search/retrieval concepts.</li><li>
Strong communication skills and ability to lead cross-functionally.</li></ul><div></div><div>
Preferred qualifications</div><ul><li>
Hands-on experience with vector search and embeddings (pgvector/Pinecone/Weaviate/OpenSearch/Elastic) and retrieval patterns (semantic retrieval, hybrid search, reranking).</li><li>
Experience supporting LLM applications (RAG, agent tool interfaces, evaluation/observability).</li><li>
Knowledge of knowledge graphs/semantic modeling or metrics layers at scale.</li><li>
Experience in regulated environments and mature governance programs.</li></ul><div></div><div>
Example Success measures</div><ul><li>
Measurable improvement in AI outcomes: higher retrieval precision/recall, better citation coverage, fewer &ldquo;missing context&rdquo; failures.</li><li>
Reduced latency/cost per retrieval and improved platform reliability (SLO attainment, lower MTTR).</li><li>
Broad adoption of semantic definitions and context contracts across teams.</li><li>
Accelerated delivery by enabling others via standards, templates, and mentorship.</li></ul><div></div><div>
Behavioral attributes</div><ul><li>
Business-curious and eager to learn: Proactively learns the functional domain (processes, terminology, KPIs, constraints) and can speak credibly with SMEs and business leaders&mdash;not just translate requirements, but help shape the right questions and success measures.</li><li>
Stakeholder-first collaborator: Builds strong relationships with stakeholders, SMEs, and consultants; clarifies goals, constraints, and tradeoffs early; communicates progress and risks clearly; and sets realistic expectations around timelines, scope, and quality.</li><li>
Consultative problem-solver: Approaches requests with a &ldquo;diagnose before prescribe&rdquo; mindset&mdash;asks smart questions, proposes options, and guides teams toward durable solutions rather than one-off fixes.</li><li>
Influence without authority: Leads through expertise and trust&mdash;drives alignment, facilitates decisions, and unblocks teams across functions even without direct reports.</li><li>
High ownership and follow-through: Treats reliability, documentation, and operational readiness as part of the work; finishes what they start; and holds a high bar for production quality.</li><li>
Clear communicator for mixed audiences: Can go deep with engineers and also explain concepts plainly to non-technical partners; writes crisp docs, designs, and runbooks.</li><li>
Pragmatic builder mindset: Biases toward shipping value in iterations, validating with users, and improving based on feedback&mdash;balancing innovation with maintainability and risk.</li><li>
Comfortable with ambiguity: Thrives in early-stage or evolving spaces (AI/data products), adapts quickly, and turns unclear goals into actionable plans.</li><li>
Integrity and stewardship: Handles sensitive data responsibly, respects governance, and advocates for secure-by-design patterns while enabling the business to move fast.</li></ul><div></div><div>
The estimated base salary for this job is $140,000 - $190,000 USD. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron&rsquo;s annual incentive compensation program, which reflects Huron&rsquo;s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $161,000 - $237,500 USD. The job is also eligible to participate in Huron&rsquo;s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future.</div><div></div><div>
Position Level</div>
Manager<div></div><div>
Country</div>
United States of America</div>

Healthcare Insights - Staff Data Engineer, AI & Context Platform

Deloitte

<div>Oracle Data Services Solution Manager 
 
Join our AI &amp; Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. 
 
AI &amp; Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology &amp; data platforms. Our delivery models are tailored to meet each client's unique requirements. 
 
Recruiting for this role ends on 4/16/26. 
 
Work you'll do 
 
Direct the delivery and ongoing evolution of Oracle-powered enterprise data services. Lead strategic projects across implementation, modernization, and operationalization of core data management, analytics, and AI readiness programs. Drive business value by leveraging Oracle's full data platform suite in complex enterprise environments. 
 
Key Responsibilities 
<ul><li>
Lead Data Management Initiatives: Deliver end-to-end Oracle data management solutions, from assessment to production deployment, covering data strategy, migration, integration, and continuous improvement.</li><li>
AI &amp; Analytics Enablement: Oversee readiness assessments for AI programs, guide data quality and governance reviews, and deliver curated analytics/AI-ready data products across business domains.</li><li>
Modernization &amp; Migration: Manage large-scale migrations to modern data ecosystems (cloud/on-prem hybrid), streamline operations, and facilitate automation and future-proof architecture.</li><li>
Master Data Management: Spearhead Oracle MDM engagements for unified customer, supplier, and product data; drive efforts for accurate, governed, and high-quality master data.</li><li>
Data Engineering Leadership: Oversee design and delivery of intelligent, automated pipelines (e.g., ETL/ELT, data mesh, and lakehouse architectures) supporting analytics, AI, and integration of siloed or unstructured data.</li><li>
Governance &amp; Compliance: Establish and maintain strategic data governance frameworks, enforce data quality standards, foster compliance, and support data policies for responsible (ethical) AI and business transparency.</li><li>
Team &amp; Stakeholder Management: Build and mentor functional/technical project teams, actively engage with clients and business leaders, and promote adoption of data best practices across the organization.</li></ul> 

The Team 
 
Our AI &amp; Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively. 
 
Qualifications Required 
<ul><li>
6+ years relevant technology consulting experience, including enterprise-scale technical experience with cloud and hybrid infrastructures for data and analytics, architecture designs, migrations, and technology management</li><li>
4+ years data engineering experience, including ETL/ELT, open lakehouse architecture, integration of structured/unstructured sources, MLOps, GIT/CICD</li><li>
2+ years experience with the data products lifecycle: blueprinting, design, deployment, automation, catalog/discoverability, and integrations (multi-platform, hybrid cloud)</li><li>
2+ years experience implementing and optimizing data pipeline automation, metadata management, semantic layers, and domain-driven data product strategies</li><li>
2+ years consulting experience leading, managing, and delivering cloud-based data and analytics technology engagements end-to-end with resources in multiple locations</li><li>
Bachelor's Degree</li><li>
Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve</li><li>
Limited immigration sponsorship may be available</li></ul> 

Preferred 
<ul><li>
4+ years experience with Oracle Data Management platforms (EX: Oracle MDM, Oracle Cloud, Oracle AI Data Platform, Product Data Hub, and Customer Data Management)</li><li>
Experience with leading tools: data quality profiling, governance frameworks, automated lineage tracking, business glossary integrations, and cloud-native analytics solutions</li><li>
Experience with AI/GenAI data readiness (data scoping, bias detection, data labeling, regulated/ethical AI)</li><li>
Experience implementing modular, reusable analytics and AI-enabled data products</li><li>
Familiarity with marketplace models for internal/external data sharing</li><li>
Exposure to industry compliance requirements, data ethics, and frameworks for trustworthy AI solutions</li><li>
Experience with advanced data architectures (ie: Multimodal data management &amp; model design, Data Mesh, Data Fabric, Data Products, etc.)</li><li>
Experience understanding and communicating client strategic business drivers and operational process requirements, then linking specific business requirements to AI &amp; Data capabilities</li><li>
Experience with the sales cycle by helping frame client opportunities and participation in pursuit teams including creating proposal content for client discussions</li><li>
Experience creating critical collaterals for client workshops and customer interactive sessions</li><li>
Experience presenting to both large and small audiences</li><li>
An advanced degree in an area of specialization</li></ul> 
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,800 to $241,000. 
 
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.</div>

Oracle Data Services - Manager

Abdul Latif Jameel

<div>
 
 
 Who we are?
 
 
 
 
 
 
 Abdul Latif Jameel is a diversified business of independent entities that include automotive distribution, auto parts manufacturing, financial services, renewable energy, environmental services, health, land and real estate development, logistics, electronics retailing and media services.
 
 
 Established in 1945 Abdul Latif Jameel has dual headquarters in Jeddah, Saudi Arabia and Dubai, and currently has operations in 30 countries employing approximately 11,000 people from more than 40nationalities.
 
 
 The term Abdul Latif Jameel refers broadly to several distinct, separate and independent legal entities. It is not itself a corporate entity, association or conglomerate run by an overarching parent company but merely refers to a group of distinct and wholly separate legal entities that are collectively referred to as Abdul Latif Jameel.
 
 
 
 
 
 
 Main Job Responsibilities:
 
 
 <ol>
 <li>
 Strategic Vision &amp; Roadmap: Define and execute the long-term strategy for "Customer 360," transforming raw data into a strategic asset that &ldquo;D&sup3;&rdquo; data drives decision-making across the entire ALJ automotive group.
 </li>
 <li>
 Unified CDP &amp; CRM Ecosystem Ownership: Lead the implementation and maturation of the Customer Data Platform (CDP) and manage the roadmap for core CRM operational platforms (Salesforce/Dynamics), ensuring seamless integration between "System of Record" and "System of Engagement.
 </li>
 <li>
 Advanced Analytics &amp; AI Modeling: Oversee the development of predictive models (e.g., "Propensity to Buy," "Churn Risk"), ensuring these insights are actionable and directly integrated into sales workflows.
 </li>
 <li>
 Lifecycle Engagement Orchestration: Direct the "Data &amp; Marketing Automation" function to design complex, multi-channel customer journeys that nurture leads from awareness to ownership and loyalty.
 </li>
 <li>
 Cross-Functional Business Integration &amp; Operational Support: Act as the strategic bridge between "Digital Experience" and "Sales/aftersales Operations," ensuring digital insights translate into physical showroom actions and that CRM workflows support daily sales activities.
 </li>
 <li>
 Data monetization: Identify and execute opportunities to monetize customer data through targeted up-selling, cross selling (Aftersales packages), and partner ecosystem integration.
 </li>
 <li>
 Performance Intelligence: Govern the "Data &amp; Performance Analytics" function, moving beyond basic reporting to provide "Objective, Actionable Intelligence" to C-level stakeholders.
 </li>
 <li>
 Governance &amp; Compliance: Champion data privacy and governance standards in collaboration with Legal/Compliance, ensuring all "Customer 360" initiatives adhere to NDMO/SDAIA regulations.
 </li>
 <li>
 Vendor &amp; Partner Management: Manage high-level relationships with technology vendors (CRM, CDP, AI, etc.) to ensure maximum value extraction and technological future-proofing.
 </li>
 <li>
 Leadership &amp; Culture: Foster a "test-and-learn" agile culture within the CRM vertical, driving the shift from traditional marketing to algorithmic, data-led experimentation.
 </li>
 </ol>
 
 
 
 
 
 Main Job Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in business, Data Science, Marketing Technology, or related field.
 </li>
 <li>
 5+ Years of progressive experience in CRM, Digital Transformation, Data Strategy.
 </li>
 <li>
 4+ Years in a leadership role managing multi-disciplinary teams (Analytics + Marketing).
 </li>
 <li>
 Experience in Automotive or High-Velocity Retail is a significant advantage
 </li>
 <li>
 Expertise in CRM Operational Management (Lead-to-Order workflows, etc.).
 </li>
 <li>
 Expertise in CDP &amp; CRM Architectures (Salesforce).
 </li>
 <li>
 Strategic proficiency in Data Analytics (propensity modeling, segmentation).
 </li>
 <li>
 Change Management: Ability to drive adoption of data tools among non-technical sales teams.
 </li>
 <li>
 Financial Acumen: ROI modeling and budget management
 </li>
 <li>
 Data Science, CRM (Salesforce Certified etc.), or Agile Project Management certifications are a plus.
 </li>
 </ul>
 
 
 
 
 
 The associate will work with a daily standard of (48) hours per week.
 
 
 
 
 The job posting will expire in 7 days - Apply while the opportunity lasts!
 
 
</div>

Customer 360 & Engagement GM

Risant Health

<div>Company Description 
Risant Health, a nonprofit affiliate of Kaiser Foundation Hospitals, is transforming healthcare by accelerating the adoption of value-based care across community health systems. Headquartered in the Washington, DC area, Risant Health partners with nonprofit, community-based systems&mdash;starting with Geisinger&mdash;to expand access to care that prioritizes health outcomes and affordability.
Backed by nearly 80 years of Kaiser Permanente&rsquo;s value-based care expertise, Risant Health operates independently to support its portfolio of health systems with shared resources, strategic guidance, and operational support&mdash;while preserving their community roots. 
Job Description 
The Data &amp; Analytics (D&amp;A) team delivers strategic insights, analytics products, and decision-support capabilities across Risant Health, Risant Health&rsquo;s Value-Based Platform (VBP) and Risant Health Organizations (RHOs), and Kaiser Permanente (KP). Through four key pillars&mdash;Risant Strategic Analytics, VBP/Solution Intelligence, RHO Support &amp; Enablement, and Foundational Capabilities&mdash;the team translates data into actionable intelligence that drives clinical quality improvement, total cost of care reduction, better experiences for members and clinicians, and health equity.
The Analytics Program Manager for Foundational Platform owns the business requirements, product strategy, and delivery coordination for Risant's core data and analytics infrastructure (part of D&amp;A&rsquo;s Foundational Capabilities pillar). This role bridges business needs and technical execution, ensuring the platform delivers scalable, high-quality data and analytic capabilities that enable operations and strategic analytics across D&amp;A pillars. The Analytics Program Manager for Foundational Platform will ensure immediate needs are served through interim platform capabilities while pursuing the long-term architecture vision that is needed for Risant.
Job Responsibilities
Technical Program Management &amp; Roadmap Planning: Coordinate delivery for the Foundational Platform build, balancing across interim solution build and long-term platform implementation. Working closely with Risant Technology and business partners, define and maintain a roadmap with tracked dependencies and release schedule that consists of sprints that combine data, analytic and technology outputs that cumulatively deliver business value.
Business &amp; Requirements Ownership: Partner closely with business teams to drive alignment between strategic goals and execution scope. Own business requirements gathering and documentation for the platform, including for member/patient master data management (MDM), provider MDM/hierarchy, and other core data models. Translate business needs from analytics pods, RHOs and other stakeholders into requirements for Architecture &amp; Engineering teams and coordinate with those teams on technical designs to ensure capabilities meet business requirements and scalability needs. Lead acceptance testing (UAT and BAT) for all releases.
Standards Definition and Governance: Establish and govern source data onboarding process, metric definitions, calculation / methodology logic, and data quality standards. Document and maintain data contracts between Risant, RHOs and third-party vendors as needed.
Vendor &amp; Partner Coordination: Co-manage (with Risant Technology) third-party vendors and partners as needed, identifying co-development activities and ensuring performance expectations and service levels are met.
Budget and Investment Oversight: Partner with D&amp;A Portfolio Lead and Risant Technology partners to prioritize platform investments against competing analytics delivery needs. Support budget planning and vendor procurement processes for platform tools, technologies, and services.
Risk &amp; Change Management: Proactively identify, assess, and mitigate program risks and issues, escalating when necessary. Drive platform adoption across analytic pods and other Risant stakeholders through robust change management that includes stakeholder communications, training and cutover planning.
Platform Performance Monitoring: Establish and monitor platform KPIs including data quality metrics (e.g. accuracy, completeness), system performance (e.g. uptimes, usability, query speed), user adoption / satisfaction and cost efficiency. Provide executive reporting as needed.
Stakeholder Engagement &amp; Communication: Build and maintain strong relationships with internal teams, external partners, and senior leadership to ensure alignment, buy-in, and engagement throughout the platform delivery lifecycle. 
Qualifications 
Required Qualifications
Education:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, Engineering, Data Science or related field</li></ul>
Experience:<ul><li>
Seven (7) years in technical program management, data engineering, or analytics platform delivery</li><li>
Five (5) years working with enterprise data platforms, data warehouses, or analytics infrastructure</li><li>
Three (3) years in healthcare data environments with exposure to claims, clinical, and operational data sources (incl. third parties)</li><li>
Experience with modern data platforms (Snowflake, Databricks, BigQuery)</li><li>
Experience with BI platforms (Tableau, Power BI, Qlik) and their architecture requirements</li><li>
Familiarity with healthcare data standards (HL7, FHIR, X12) &amp; standard sources (incl. EHRs)</li><li>
Understanding of MDM solutions, data quality tools, and metadata management</li></ul>
Supervisory/Management Experience:<ul><li>
Five (5) years demonstrated ability to lead technical teams, coordinate across business and engineering functions, and influence senior stakeholders without explicit authority.</li></ul>
Education Preferred:<ul><li>
Master&rsquo;s degree in Data Science/Analytics, Information Systems or a related discipline.</li></ul>
Certification and/or Licensure Preferred:<ul><li>
PMI Project Management Professional (PMP)</li><li>
PMI Program Management Professional (PgMP)</li><li>
Certified Scrum Product Owner (CSPO)</li><li>
Certified Scrum Master (CSM)</li><li>
SAFe Scrum Master (SSM)</li><li>
SAFe Product Owner / Manager (POPM)</li><li>
SAFe Agile Product Manager (APM)</li><li>
SAFe Practice Consultant (SPC)</li><li>
Cloud platform certifications (AWS, Azure, GCP)</li><li>
Data Governance certifications (CDMP, DGSP, ADGP)</li></ul>
Technical Competencies Preferred:<ul><li>
Working knowledge of both Agile and traditional project management approaches, with ability to adapt to needs</li><li>
Change management expertise to drive adoption of new portfolio processes and governance structures</li><li>
Familiarity with project management and collaboration tools (e.g., Jira, Smartsheet, Confluence, MS Project)</li><li>
Proficiency in Microsoft Office Suite (e.g., Excel, PowerPoint, PowerBI) for reporting and presentations</li></ul>
This hybrid role requires working onsite up to two days per week in either our Washington, DC or Renton, WA office. Bi‑monthly travel is also required. 
Additional Information 
Compensation and Benefits: The projected base salary for this position ranges from $130,000 to $171,600 and depends on experience and qualifications. This role is also eligible for incentive compensation and a comprehensive benefits package, including wellness programs, retirement savings, and relocation support as applicable.
Join us! If you are passionate about improving healthcare through innovative solutions and want to make a meaningful impact, we encourage you to apply. Risant Health is an equal opportunity employer committed to creating a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences. All your information will be kept confidential according to EEO guidelines.</div>

Analytics Program Manager - Foundational Platform

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