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DEPLOY has been retained to find a Reporting & Data Architect Lead combines advanced reporting development with enterprise-level data governance and architectural leadership. In this role, you will own our client's enterprise reporting platform—designing robust Power BI solutions, managing shared data models, and ensuring the reporting environment remains secure, scalable, and high-performing.
You will also own our client's enterprise reporting standards and governance framework, ensuring reporting across all departments is consistent, trusted, and aligned with best practices. This includes defining reporting conventions, reviewing changes, onboarding departmental report creators, and stewarding enterprise reporting assets such as certified datasets and endorsed reports.
At the enterprise level, you will architect our client's data framework—defining how data is structured, named, documented, and shared across ERP, operational, manufacturing, and corporate systems. You will own the enterprise data dictionary, the centralized semantic model, and key architectural decisions around Microsoft Fabric and other data tooling. This role interacts frequently with executives to align data strategy with organizational growth and reporting needs.
Key Responsibilities
Enterprise Reporting (Hands-On Development)
- Build, optimize, and maintain enterprise-grade Power BI reports, dashboards, datasets, and data models.
- Develop and govern shared semantic models and reusable datasets that power enterprise-wide reporting.
- Use Microsoft Fabric, Dataverse, and related ETL/data management tools to shape and integrate reporting data sources.
- Manage dataset refresh schedules, performance tuning, workspace organization, gateway configuration, and reporting system reliability.
- Implement row-level security (RLS), workspace access patterns, and enterprise reporting permissions—Responsible, with the Director of Technology Accountable.
- Manage reporting governance artifacts including certified datasets, endorsed reports, and enterprise workspace standards.
- Support reporting scalability as our client grows (new factories, new business units, new product lines).
Enterprise Reporting Standards & Governance
- Own our client's enterprise reporting standards framework, covering naming conventions, modeling patterns, documentation practices, lifecycle management, visual design standards, and change control.
- Govern reporting development and deployment across the organization to ensure consistency and prevent duplicate or conflicting models.
- Review and approve reporting change requests, data model modifications, and access requests.
- Lead documentation and enablement for departmental report creators through training, guidance, and structured onboarding.
- Provide strategic direction around reporting maturity, sustainability, and enterprise alignment.
Enterprise Data Architecture
- Design and maintain our client's enterprise data architecture framework across ERP, operational, manufacturing, and corporate systems.
- Own the enterprise data dictionary, defining canonical field names, table structures, business definitions, and version control practices.
- Build and govern the centralized semantic model that powers reporting across the company.
- Advise and strongly influence enterprise-level decisions around Microsoft Fabric, data modeling strategy, and long-term architectural direction—and own the work that follows those decisions.
- Collaborate with engineering and system owners to coordinate schema changes, data integrations, and cross-system alignment.
Leadership & Collaboration
- Partner with C-suite and senior leaders to define reporting roadmaps, enterprise priorities, and data strategy.
- Communicate complex architectural concepts in clear, business-friendly terms.
- Lead cross-functional initiatives that require unified data structures or scalable reporting.
- Apply automation (Power Automate, Fabric pipelines) and AI tools to improve reporting efficiency, data quality, and governance workflows.
Ideal Candidate Profile
- Deep hands-on expertise with Power BI, Microsoft Fabric, data modeling, and cloud data platforms.
- Track record of establishing and enforcing enterprise reporting standards and governance.
- Strong architectural intuition: semantic modeling, master data definition, cross-system alignment, and scalable design.
- Able to operate as both an individual contributor and a strategic leader.
- Experience managing reporting governance artifacts (certified datasets, endorsed reports, workspace strategy).
- Comfortable influencing architectural decisions and guiding technical execution.
- Strong command of foundational tools and languages such as:
- DAX
- Power Query / M
- SQL
- Fabric pipelines / ETL tooling
- Experience with automation and AI-assisted analytics workflows.
SUMMARY/OBJECTIVE
The Retail Operations Analyst plays a critical role in advancing operational excellence across the global retail organization. This position is responsible for the development, governance, and continuous enhancement of retail reporting, compliance oversight, and advanced data analytics that drive informed decision-making and protect brand integrity.
Serving as a strategic partner to Retail Operations, IT, Merchandising, Planning, Finance, Brand Protection, and Store Leadership, this role delivers accurate, actionable insights and scalable reporting solutions that optimize performance, reinforce brand standards, and elevate the client experience.
This position requires the highest level of discretion and integrity in handling confidential business, client, and transactional data.
ESSENTIAL FUNCTIONS
Compliance & Risk Reporting
- Develop, maintain, and distribute comprehensive compliance reporting frameworks to ensure adherence to internal policies, operational procedures, and brand standards.
- Monitor key compliance indicators across global retail locations; proactively identify trends, risks, and operational gaps.
- Partner cross-functionally to support audits, internal reviews, and compliance investigations with accurate, well-documented reporting.
- Establish reporting controls and validation processes to ensure data accuracy, reliability, and audit readiness.
- Escalate material findings and risk indicators to appropriate leadership in a timely and professional manner.
Retail Performance Reporting & Analytics
- Design and manage reporting tools and dashboards that support store teams and retail leadership in daily operations and decision-making.
- Translate operational needs into clear, user-friendly reporting while ensuring data accuracy, scalability, and alignment with business priorities.
- Partner with retail teams to review business performance, provide insights, and share key findings with cross-functional partners as needed.
- Provide training, guidance, and ad hoc reporting to support evolving retail and leadership needs.
Investigative Reporting & Brand Protection Analytics
- Leverage transactional and client-level data to identify purchasing patterns indicative of reseller activity or behaviors inconsistent with brand standards.
- Analyze cross-store sales data and client purchase histories to detect trends, anomalies, and high-risk activity.
- Develop and maintain investigative dashboards and monitoring tools to proactively flag high-risk transactions.
- Translate investigative findings into clear, data-driven recommendations while partnering with Retail Operations and Brand Protection to support informed business decisions.
- Balance risk mitigation efforts with a commitment to maintaining a premium client experience.
Client Reporting Tools Management
- Manage and optimize client reporting platforms that support clienteling, retention strategies, and business planning.
- Ensure integrity, consistency, and accuracy of client data across systems and reporting environments.
- Collaborate with IT and business partners to enhance reporting functionality and improve data accessibility.
- Support merchandising, planning, and strategic initiatives by providing meaningful client insights and trend analysis.
- Maintain clear documentation of reporting logic, definitions, and governance standards.
Confidentiality & Data Protection
- Exercise the highest level of discretion when handling sensitive business information, including sales data, client information, investigative findings, and compliance-related materials.
- Ensure strict adherence to company confidentiality policies, data privacy regulations, and information security protocols.
- Limit access to sensitive data on a need-to-know basis and safeguard reporting outputs from unauthorized distribution.
- Maintain confidentiality during investigations and compliance reviews, protecting both client information and internal business intelligence.
- Immediately escalate potential data breaches or unauthorized disclosures in accordance with company policy.
- Serve as a steward of data integrity and ethical reporting practices across the retail organization.
QUALIFICATIONS
- 3–5 years of experience in retail operations, business analysis, or data analytics (luxury retail experience strongly preferred).
- Strong understanding of retail operations, store workflows, and reporting needs.
- Advanced Excel skills required (pivot tables, complex formulas, lookups, data validation, logical functions; Power Query or similar tools preferred).
- Demonstrated ability to analyze large data sets and identify meaningful business insights.
- Experience creating reporting frameworks and dashboards for non-technical audiences.
- Strong investigative mindset with excellent attention to detail.
- Industry awareness and strong business acumen; goal oriented with a sense of urgency and follow through
- Excellent interpersonal skills and the ability to communicate effective, both verbally and written, with all levels of management
- Exceptional organizational skills
- Problem-solving aptitude
BENEFITS
- 401(k) matching
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
ADDITIONAL INFORMATION
Chrome Hearts provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
The salary range for this role is:
75,000 - 80,000 USD per year (Hollywood, CA)
This is a 03 months contract opportunity with long-term potential and is located in U.S(Remote).
Please review the job description below and contact me ASAP if you are interested.
Job ID:26-08963 Pay Range: $22
- $23/hour.
Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities: Submit a minimum of 8 submission per 8-hour shift.
This can change as we are going to process changes.
Review request, research, and submit changes per regulation/business rules.
The main function of a data entry specialist is to operate data entry devices, such as a keyboard or computer, to verify and input data.
A typical data entry specialist is responsible for accurate information documentation and personal project management.
Read source documents such as practitioner profiles, emails, and enter data in specific data fields or onto tapes or disks for subsequent entry, using keyboards or scanners.
Compile, sort and verify the accuracy of data before it is entered.
Locate and correct data entry errors or report them to supervisors.
Compare data with source documents, or re-enter data in verification format to detect errors.
Maintain logs of activities and completed work.
Key Requirements and Technology Experience: Key Skills;Technical skills include documentation skills and time management.
Health plan experience, data entry experience, Previous experience with computer applications, such as Microsoft Word and Excel.
3-5 years of data entry experience is required.
A High School Diploma or GED is required.
Our client is a leading Healthcare Industry, and we are currently interviewing to fill this and other similar contract positions.
If you are interested in this position, please apply online for immediate consideration.
Pyramid Consulting, Inc.
provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc.
and its affiliates, and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here .
Job Description:
Overview:
We don't simply hire employees. We invest in them. When you work at Chatham, we empower you - offering professional development opportunities to help you grow in your career, no matter if you've been here for five months or 15 years. Chatham has worked hard to create a distinct work environment that values people, teamwork, integrity, and client service. You will have immediate opportunities to partner with talented subject matter experts, work on complex projects, and contribute to the value Chatham delivers every day.
We seek to enhance our Controls and Data Integrity team with a role specializing in data quality for interest rate, currency, and commodity transactions. The role is part of our global central operations group charged with ensuring the accuracy and reliability of Chatham's transaction, market, and valuation data.
In this role you will:
The purpose of the role is to ensure all transaction details are in Chatham's systems accurately and as agreed upon at execution. Data entry errors can have significant consequences to the economics of the transaction or to their accounting treatment, and it is therefore critical that team members understand transaction-related market conventions, payments, and valuations. This role will provide support for transactions executed by Chatham's real estate, private equity, corporate, and financial institutions sectors. We expect primary responsibilities to include:
- Transaction and data review
- Work as part of the larger team to check the data entry on transactions as they are executed
- Verify calculation amounts and build payment schedules
- Develop an understanding of the underlying transactions in order to identify loading errors
- Check daily control reports to monitor unusual movements in transaction valuations and market data
- Assist with data clean-up related transaction data and Client Relationship Management (CRM) software
- Communicate and coordinate across other internal teams and with clients
- Interact with sector team members to verify/clarify data, as needed
- Work with internal models, analytics, and technology teams to resolve issues
- Play an active role in liaising between the business and technical teams
- Check and send out monthly valuation reports to clients
- Develop and share subject matter expertise
- Take part in the training of new Chatham employees on sector teams
- Serve as an integral member of ad hoc project teams to improve processes, solve problems, and provide insight from a data quality perspective
- Develop SQL skills and help create database queries
- The role may also include opportunities to contribute to the team in other capacities as interests and team needs align.
Your impact:
Our team works in partnership with Chatham's sector advisory teams and clients to help them efficiently navigate the data quality, operational, and regulatory compliance aspects of a transaction. We strive to continually improve the workflows we are responsible for and have the chance to do so by implementing process changes and/or leveraging supporting technology. Team members play a crucial role in these process improvements and serve as subject matter experts, providing regular training and resources for all Chatham teams.
Contributors to your success:
- 2 years of experience working in operations or data quality may be beneficial but is not required
- An interest in data quality, data management, and process improvement
- Comfort with basic math skills and use of Microsoft Excel
- High level of attention to detail, accuracy, and organization
- Ability to multitask and independently prioritize workload
- Strong verbal and written communication skills
- Ability to work extra/non-standard hours around month- and quarter-ends (and other special cases) to support critical business processes
- Experience with VBA and SQL are beneficial, but not necessary
We seek individuals that will thrive in our culture and can make a significant impact over the long term. Most of our team members do not come to Chatham with a deep understanding of derivatives; therefore, we conduct classroom and apprentice-style training. We look for people who have consistently demonstrated drive, determination, and academic/professional accomplishment throughout their lives. We invest a great deal of time and training with our employees and we are looking for individuals who want to make a long-term commitment to the company.
About Chatham Financial:
Chatham Financial is the largest independent financial risk management advisory and technology firm. A leader in debt and derivative solutions, Chatham provides clients with access to in-depth knowledge, innovative tools, and an incomparable team of over 700 employees to help mitigate risks associated with interest rate, foreign currency, and commodity exposures. Founded in 1991, Chatham serves more than 3,500 companies across a wide range of industries - handling over $1 trillion in transaction volume annually and helping businesses maximize their value in the capital markets, every day. To learn more, .
Chatham Financial is an equal opportunity employer.
Data Transformation Developer
Location:
19775 Belmont Executive Plaza
Suite 200
Ashburn, VA
Job Id:
828
# of Openings:
1
TITLE: DATA TRANSFORMATION DEVELOPER
LOCATION: ASHBURN, VA
POSITION SUMMMARY: The Data Transformation Developer is responsible for developing high-quality data transformations, analytics solutions, dashboards, and reports that enable decision-making across CPG. This role bridges data engineering and analytics, building robust data pipelines in NetSuite Analytics Warehouse (NSAW). Leveraging data from multiple sources to create user-friendly reporting and visualization across all levels of the organization.
ESSENTIAL DUTIES AND RESPONSIBILITIES: To perform this job successfully, an individual must be able to perform the following satisfactorily; other duties may be assigned. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- REQUIRED: NetSuite experience
- PREFERRED: Ability to work with multiple levels within the organization to document and collect requirements and then translate these requirements into intuitive, actionable reporting solutions through NetSuite Analytics Warehouse (NSAW).
- Create standards for reporting, dashboards, and visualization solutions.
- Creates reusable data models that are aligned to governance and department standards.
- Document business definitions, data logic and repot specifications.
- Create standards around change management for data models and NSAW.
- Validate and ensure data accuracy, consistency and reliability across all data models and reporting.
- Create documentation, hands on training and recorded training to increase end user acceptance and engagement.
- Other duties as assigned.
QUALIFICATIONS:To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Education/Experience:
- Bachelor's degree in computer information systems, or related field.
- 5-10 years hands on experience.
- Experience with Power BI, Tableau, NetSuite Analytics Warehouse, or other major Business Intelligence Tools.
- Transforming complex enterprise data into usable models, and visual designs for end users.
- Effective analytical thinking and problem-solving skills, with ability to translate business questions into analytical requirements
- Effective communication skills for partnering with non-technical stakeholders and document, validate and provide quality assurance skills.
- Must be a US Citizen
- Excellent verbal and written communication skills.
- Proficient in Microsoft Office Suite or related software.
- Excellent organizational skills and attention to detail.
- Excellent interpersonal skills.
Certificates and Licenses:
- Microsoft Office Suite or related software.
Supervisory Responsibilities:
- No supervisory responsibilities for this position.
Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Prolonged periods of sitting at a desk and working on a computer.
- Must be able to lift 15 pounds at times.
- Frequently required to stand, walk, stoop, kneel, crouch, or crawl.
Benefits to Joining Our Team
CPG offers a competitive and comprehensive package that includes additional benefits beyond enhanced medical, dental, and vision coverage
- Health Benefits - (Medical, Dental & Vision Insurance)
- Flexible Spending Account Options
- 401K Plan
- Employer paid Life & Disability Insurance
- Paid Time Off
- Employee Referral Program
- Employee Assistance Program (EAP)
The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions, and perform any other related duties, as assigned by their supervisor.
CPG is an equal opportunity employer. We will consider all employment applicants without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.
Pay Range: $85,996 - $129,050 per year
Apply for this Position
Company Description
PG Forsta is the leading experience measurement, data analytics, and insights provider for complex industries-a status we earned over decades of deep partnership with clients to help them understand and meet the needs of their key stakeholders. Our earliest roots are in U.S. healthcare -perhaps the most complex of all industries. Today we serve clients around the globe in every industry to help them improve the Human Experiences at the heart of their business. We serve our clients through an unparalleled offering that combines technology, data, and expertise to enable them to pinpoint and prioritize opportunities, accelerate improvement efforts and build lifetime loyalty among their customers and employees.
Like all great companies, our success is a function of our people and our culture. Our employees have world-class talent, a collaborative work ethic, and a passion for the work that have earned us trusted advisor status among the world's most recognized brands. As a member of the team, you will help us create value for our clients, you will make us better through your contribution to the work and your voice in the process. Ours is a path of learning and continuous improvement; team efforts chart the course for corporate success.
Our Mission:
We empower organizations to deliver the best experiences. With industry expertise and technology, we turn data into insights that drive innovation and action.
Our Values:
To put Human Experience at the heart of organizations so every person can be seen and understood.
- Energize the customer relationship:Our clients are our partners. We make their goals our own, working side by side to turn challenges into solutions.
- Success starts with me:Personal ownership fuels collective success. We each play our part and empower our teammates to do the same.
- Commit to learning:Every win is a springboard. Every hurdle is a lesson. We use each experience as an opportunity to grow.
- Dare to innovate:We challenge the status quo with creativity and innovation as our true north.
- Better together:We check our egos at the door. We work together, so we win together.
Duties & Responsibilities
Design and implement processes, systems and automation to streamline the development and deployment of AI solutions.
Architect robust, reliable solutions for specific AI applications using appropriate cloud-based and open source technologies.
Design and automate data pipelines to deliver complex data products to power training and online inference of AI systems.
Deploy ML models, LLMs and GenAI systems into production, ensuring reliability, efficiency, and scalability across cloud or hybrid environments.
Build and maintain robust CI/CD pipelines tailored to ML model lifecycle management, ensuring a streamlined and agile deployment process.
Monitor model performance, identify potential improvements, and integrate feedback loops for continuous learning and adaptation.
Integrate models with chat interfaces and conversational platforms to create responsive, user-centric applications.
Investigate and implement agent-based architectures that support conversational intelligence and interaction modeling.
Collaborate with cross-functional teams to design AI-driven features that enhance user experience and interaction within chat interfaces.
Work closely with data scientists, product managers, and engineers to ensure alignment on project goals, data requirements, and system constraints.
Mentor junior engineers and provide guidance on best practices in ML model development, deployment, and maintenance.
Create and maintain comprehensive documentation for model architectures, code implementations, data workflows, and deployment procedures to ensure reproducibility, transparency, and ease of collaboration.
Technical Skills
Experience with large-scale deployment tools and environments, including Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP.
Experience deploying and managing a variety of database technologies.
Experience deploying ML models at scale and optimizing models for low-latency, high-availability environments.
Strong programming skills in Python and proficiency in libraries such as NumPy, Pandas, and Scikit-learn.
Experience with data pipelines, ETL processes, and experience with distributed data frameworks like Apache Spark or Dask.
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers.
Knowledge of conversational AI, agent-based systems, and chat interface development.
Proven track record in deploying and maintaining ML and AI solutions in a production setting.
Experience with version control (e.g., Git) and CI/CD tools tailored to ML workflows.
Experience with MLOps.
Experience with Databricks is a plus.
Qualifications
Minimum Qualifications
5+ years of experience in platform engineering with a focus on with a focus on data and ML systems.
Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
Don't meet every single requirement?Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. At Press Ganey we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Additional Information for US based jobs:
Press Ganey Associates LLC is an Equal Employment Opportunity/Affirmative Action employer and well committed to a diverse workforce. We do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, veteran status, and basis of disability or any other federal, state, or local protected class.
Pay Transparency Non-Discrimination Notice - Press Ganey will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
The expected base salary for this position ranges from $100,000 to $140,000. It is not typical for offers to be made at or near the top of the range. Salary offers are based on a wide range of factors including relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also considered. In addition to base salary and a competitive benefits package, successful candidates are eligible to receive a discretionary bonus or commission tied to achieved results.
All your information will be kept confidential according to EEO guidelines.
Our privacy policy can be found here:legal-privacy/
AI Data & Python Tools Engineer
We're seeking an AI Data and Python Tools Engineer to develop and deploy intelligent tools that leverage big data infrastructure and modern AI architecture. This role combines strong software engineering fundamentals with the ability to build production-ready AI applications at speed, including integration with Model Context Protocol (MCP) systems.
Responsibilities:
- Develop and deploy AI-powered full-stack applications using Python, React, and modern machine learning frameworks
- Design and streamline data pipelines, train and validate ML models, and implement robust evaluation methods
- Collaborate with cross-functional teams to solve complex problems and integrate scalable, cloud-based AI solutions
- Rapidly prototype, test, and iterate on AI tools with a strong focus on performance, flexibility, and scalability
- Maintain clear technical documentation, perform code reviews, and support the full software development lifecycle
Software Engineering & AI/ML Data, Tools Development
- 3+ years of Python Development with a background in back end services and data processing
- Exposure to AI/ML algorithms
- Familiarity with ML frameworks (TensorFlow, PyTorch, scikit-learn)
- Understanding of LLMs, vector databases, and retrieval systems
- Experience with Model Context Protocol (MCP) integration and server development
Big Data & Cloud Infrastructure
- Knowledge of building and deploying cloud based applications
- Hands-on experience with cloud data platforms (AWS/GCP/Azure)
- Proficiency with big data technologies (Spark, Kafka, or similar streaming platforms)
- Experience with data warehouses (Snowflake, BigQuery, Redshift) and data lakes
- Knowledge of containerization (Docker/Kubernetes) and infrastructure as code
*Preferred Experience
- Experience building web applications with modern frameworks (React, Vue, or Angular)
- API development and integration experience
- Basic UX/UI design sensibilities for internal tooling
- Experience with real-time data processing and analytics
- Background in building developer tools or internal platforms
- Familiarity with AI/ML operations (MLOps) practices (Experience using airflow)
- Experience building MCP servers and integrating with AI assistants
- Knowledge of structured data exchange protocols and API design for AI systems.
Type: Full Time
Location: Austin, TX or Cupertino, CA (Monday- Friday onsite)
*Relocation assistance can be offered based on individual needs and circumstances*
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Locations: United States
About the job you’re considering
We are seeking a dynamic and experienced Delivery , Solutioning, Senior Pre-Sales & Go-to-Market (GTM) expert to drive our SAP Data & Analytics practice growth. This role combines strategic market planning with hands-on pre-sales and solutioning expertise. You will collaborate closely with sales, delivery, marketing, and alliance teams to create compelling value propositions and win strategic SAP deals focused on data and analytics (including SAP Datasphere, SAC, BTP, MDG, BDC, BODS/Syniti and related technologies)
You Role:
Go-to-Market Strategy:
- Develop and execute GTM strategies for SAP Data & Analytics offerings
- Identify high-growth areas (e.g., S/4HANA migrations, Data Governance, Datasphere adoption, BDC, AI/ML on SAP data)
- Collaborate with SAP alliance and marketing teams on campaigns, events, and solution launches
- Track market trends, competitor offerings, and customer needs to refine strategy
Pre-Sales & Solutioning:
- Lead pre-sales engagements including discovery, RFP responses, solution design, orals and client presentations
- Conduct client workshops and articulate value propositions across industries and SAP landscapes
- Design and propose end-to-end SAP Data & Analytics architectures leveraging BTP, Datasphere, SAC, HANA, MDG, BDC etc.
- AI in everything we do – must have experience in proposing AI-based solutions for the entire solution portfolio (ability to draw the solution architecture and estimate the staffing and cost)
- Create reusable solution accelerators, demos, and sales collateral with delivery teams
Sales Enablement:
- Support SAP sales and account teams with opportunity shaping and deal closure
- Build and manage a pipeline of opportunities and drive them through the sales lifecycle
- Educate internal teams on SAP data and analytics offerings and GTM playbooks
Thought Leadership:
- Represent the company in SAP events, webinars, and industry forums
- Publish blogs, whitepapers, and thought leadership content on data and analytics trends in SAP ecosystem
- Orchestrate solutions using AI
Required skills:
- 15+ years of experience in SAP ecosystem with deep expertise in Data & Analytics (either deep delivery experience of multiple global deployments or deep pre-sales experience)
- Strong knowledge of Data migration tools and methodology, Data Quality, SAP Datasphere, SAP BTP, SAC, MDG, SAP BDC and integration with non-SAP tools
- Strong knowledge of AI and how to design/deliver AI-native solutions in the Data and Analytics space
- Proven track record in pre-sales, GTM planning, and enterprise solutioning
- Experience working in or with consulting and services organizations
- Ability to engage C-level stakeholders with business and technical messaging
- Excellent communication, storytelling, and proposal writing skills
- Experience working with SAP alliance teams is a plus
The base compensation range for this role in the posted location is: $121,500 - $268,170
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
About Us
Perform Properties is a Blackstone Real Estate portfolio company focused on high-performing retail and office properties with People-Appeal - vibrant spaces where people actively choose to work, shop, and gather. With expertise in transactions, development, leasing, and management, the company oversees over 33 million square feet of retail and office properties across the U.S. Learn more: .
Role Summary
Our VP, Data & Analytics unlocks data-driven growth at the speed of natural language through AI-enabled execution across Perform Properties. An innovative architect with deep business literacy, the VP, Data & Analytics will lead our efforts to put data at the center of our Technology capabilities with a modern, performant and AI-ready data & analytics platform. This critical capability will serve a wide range of business functions, enabling Investments, Portfolio, Operations and Finance people to put AI, BI, Analytics and other emerging technologies to work for them every day – not just talk about the potential & possibilities.
This role reports to the Chief Technology Officer and is based in the office, 5 days a week.
Essential Job Functions
- Drive Data Architecture & Engineering excellence that actively reduces our Coordination Tax
- Build Data Modelling & Analytics capabilities to reduce our Time-to-Productivity
- Champion Artificial and Business Intelligence (AI / BI) capabilities through compelling next generation interactions (Visualization, Natural Language & Agentic) that reduce our Time-to-Insight
- Cultivate Data governance & stakeholder engagement that creates real shared ownership of our platform
- Model the successful use of AI as a capabilities & resource extension, not just a gimmick
- Develop individuals & teams of technologists in the Data & Analytics space as their leader
Qualifications and Technical Competencies
- 10+ years leading Data Science, Data Engineering, Analytics and/or AI / ML-focused teams
- 5-7 years managing agile projects (Scrum, Kanban, SAFe)
- 3-5 years managing people (direct reports, manager of managers)
- Demonstrable success working with modern data platforms (Databricks, Snowflake, BigQuery, RedShift, Synapse)
- Demonstrable success delivering AI / ML initiatives (Natural Language Processing, Predictive Modeling, Statistical Modeling)
- Advanced proficiency in common data engineering tools (R, Python, DBT, SQL, Azure Data Factory)
- Advanced proficiency in common visualization tools (Tableau, PowerBI)
- Bachelor’s Degree in Computer Science, Mathematics or relevant tertiary education
Benefits & Compensation
Benefits: The Company provides a variety of benefits to employees, including health insurance coverage, retirement savings plan, paid holidays and paid time off (PTO).
Base Salary Range: $225,00-$265,000. This represents the presently-anticipated low and high end of the Company’s base salary range for this position. Actual base salary range may vary based on various factors, including but not limited to location and experience.
The additional total direct compensation and benefits described above are subject to the terms and conditions of any governing plans, policies, practices, agreements, or other materials or documents as in effect from time to time, including but not limited to terms and conditions regarding eligibility.
Closing
EEO Statement
Our company is proud to be an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our employment decisions are based on individual qualifications, job requirements and business needs without regard to race, color, marital status, sex, sexual orientation, gender identity and/or expression, age, religion, disability, citizenship status, national origin, pregnancy, veteran status and or any other legally protected characteristics. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email
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Overall Responsibility:
This role supports the design, development, and optimization of Arora’s enterprise data and ERP systems. This role reports directly under the Data Analytics Manager to improve financial reporting, support platform integrations, and build scalable data architecture that enables informed decision-making across the organization.
The position combines technical execution (SQL, automation, system configuration) with financial reporting support and cross-platform integration work to ensure accuracy, efficiency, and long-term system sustainability.
Essential Functions:
- Execute reporting and system requests in alignment with established data governance standards and reporting frameworks under the direction of the Data Analytics Manager.
- Contribute to the design of data models and system workflows that reduce manual processes and improve cross-functional data visibility.
- Support internal dashboards by creating backend data solutions and integrating with Vision.
- Provide system-level troubleshooting and ensure data consistency and reliability across platforms.
- Collaborate with teams to streamline processes through automation and data tools.
- Maintain documentation of data procedures, workflows, and system modifications.
- Support financial reporting and analysis by developing standardized, scalable reporting solutions aligned with company-wide data architecture.
- Assist in translating financial and operational requirements into structured reporting outputs and automation workflows.
- Assist in platform integrations (ERP, CRM, BI tools, and other enterprise systems) to support long-term architectural alignment and scalability.
Needed Skills:
- Ability to program in SQL at an expert level to assist data processes. Potential need for other programming language knowledge (Java, Python, etc.).
- Ability to create and maintain productive relationships with employees, clients, and vendors.
Education/Experience Minimum:
- 3-5 years of experience
- Strong programming skills having the ability to write complex queries.
- Preferred familiarity with all Microsoft platforms, including but not limited to Excel, Power BI, SharePoint, and SQL Server.
- Preferred experience with Deltek Vision v7.6 and VantagePoint
- Experience in building automated processes and data workflows.
- Strong problem-solving and attention to detail.