Manager, Data & AI Architecture

We need to output HTML fragment with sections: headings

for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. We must include only sections with real content. From posting: we have description about KPMG (intro). Could be "About the role" or maybe "About the company". The instruction: use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). So we need to decide appropriate headings. We have: - Intro paragraph about KPMG being great place to work etc. Could be "About the role" or "About KPMG". Probably "About the role" is appropriate. - Responsibilities: list bullet points. - Qualifications: list bullet points. - Benefits: mention comprehensive benefits package, medical, dental, vision, disability, life insurance, 401(k), personal well-being, PTO, holidays, breaks. - Pay: California Salary Range: $127200 - $246900. Also mention KPMG offers comprehensive compensation and benefits package. Also mention salary ranges based on location, link. So we have pay info. - Schedule: Not explicitly mentioned. There's mention of standard work hours, years of service, PTO, but not schedule specifics. Probably no schedule section. - Skills: Could be derived from qualifications but we already have Qualifications. Could also have Skills section but we might combine. The instruction: prefer a few substantive sections over many thin ones. So we can have About the role, Responsibilities, Qualifications, Benefits, Pay. Possibly also Skills but we can omit if covered. We must not repeat job title as heading. No Job ID. We must remove boilerplate: EEO, equal opportunity, scam warning, navigation, cookie, legal, application instructions, etc. Also remove "No phone calls or agencies please." etc. Also remove "KPMG is an equal opportunity employer." etc. Also remove "Los Angeles County applicants: Material job duties ..."? That's specific to location but maybe considered boilerplate? It's about Fair Chance Act. Might be considered legal boilerplate; we should remove. Also remove "Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work." That's a link to benefits; we can keep benefits content but not the link? The instruction: preserve ALL substantive information; do not invent or summarize away detail. The link is not substantive? It's a reference; could be considered boilerplate. Probably remove. Also remove "Follow this link to obtain salary ranges by city outside of CA: https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=8081_9_26". That's a link; maybe we can keep salary range info but not the link? The salary range is substantive; we can keep the range. The link is extra; maybe we can drop. Also remove "KPMG offers a comprehensive compensation and benefits package." That's somewhat redundant with benefits; but we can keep as part of benefits. We need to preserve all substantive information: responsibilities list, qualifications list, benefits details, pay range. Let's extract responsibilities bullet points: - Lead the architectural design, strategy, and hands-on technical execution of scalable data pipelines and multi-tiered architectures using Databricks and Medallion Architecture, integrating Salesforce (Marketing Cloud, Sales Cloud, Data Cloud) - Define and build governed Semantic Layers and Unity Catalog Metric Views to establish enterprise data models that power conversational analytics, CRM reporting, and AI products - Spearhead the implementation and rollout of Databricks Genie spaces, conversational analytics, and Databricks Apps, defining best practices for AI-driven data consumption across marketing and sales - Partner with senior business and tech stakeholders to translate strategic requirements into technical blueprints, while actively mentoring and upskilling offshore engineering teams to scale hands-on delivery - Proactively manage technical dependencies, roadmap milestones, and engineering quality across distributed teams, identifying architectural risks and driving governance reviews; champion and enforce data governance, lineage tracking, security, and ethical AI standards in collaboration with centralized AI Data Catalyst and architecture teams - Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment Qualifications bullet points: - Minimum eight years of recent progressive experience in Data Engineering & Platform Architecture, with a track record of balancing hands-on technical delivery with strategic workstream leadership - Bachelor's or Master's degree from an accredited university in computer science, data engineering, information systems, or a related field - Deep technical expertise in Databricks, Spark, SQL, Python, Medallion Architecture, Unity Catalog, and modern cloud integration patterns - Proven experience architecting and integrating Salesforce data environments (Marketing Cloud, Sales Cloud, or Data Cloud) with enterprise lake houses - Strong leadership in AI/GenAI concepts, semantic modeling, conversational analytics (for example, Databricks Genie), and experience guiding or upskilling distributed/offshore development teams - Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa) Benefits details: - KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. - Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. - Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Pay details: - California Salary Range: $127200 - $246900 - KPMG offers a comprehensive compensation and benefits package. - KPMG LLP and its subsidiaries (“KPMG”) complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. We can keep the salary range and mention that salary is based on factors. We should not include the link. Now produce HTML:

About the role

Known for being a great place to work and build a career, KPMG provides audit, tax and advisory services for organizations in today's most important industries. Our growth is driven by delivering real results for our clients. It's also enabled by our culture, which encourages individual development, embraces an inclusive environment, rewards innovative excellence and supports our communities. With qualities like those, it's no wonder we're consistently ranked among the best companies to work for by Fortune Magazine, Consulting Magazine, Seramount, Fair360 and others. If you're as passionate about your future as we are, join our team. KPMG is currently seeking a Manager, Data and AI Architecture to join our Clients and Markets organization.

Responsibilities

• Lead the architectural design, strategy, and hands-on technical execution of scalable data pipelines and multi-tiered architectures using Databricks and Medallion Architecture, integrating Salesforce (Marketing Cloud, Sales Cloud, Data Cloud)
• Define and build governed Semantic Layers and Unity Catalog Metric Views to establish enterprise data models that power conversational analytics, CRM reporting, and AI products
• Spearhead the implementation and rollout of Databricks Genie spaces, conversational analytics, and Databricks Apps, defining best practices for AI-driven data consumption across marketing and sales
• Partner with senior business and tech stakeholders to translate strategic requirements into technical blueprints, while actively mentoring and upskilling offshore engineering teams to scale hands-on delivery
• Proactively manage technical dependencies, roadmap milestones, and engineering quality across distributed teams, identifying architectural risks and driving governance reviews; champion and enforce data governance, lineage tracking, security, and ethical AI standards in collaboration with centralized AI Data Catalyst and architecture teams
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment

Qualifications

• Minimum eight years of recent progressive experience in Data Engineering & Platform Architecture, with a track record of balancing hands-on technical delivery with strategic workstream leadership
• Bachelor's or Master's degree from an accredited university in computer science, data engineering, information systems, or a related field
• Deep technical expertise in Databricks, Spark, SQL, Python, Medallion Architecture, Unity Catalog, and modern cloud integration patterns
• Proven experience architecting and integrating Salesforce data environments (Marketing Cloud, Sales Cloud, or Data Cloud) with enterprise lake houses
• Strong leadership in AI/GenAI concepts, semantic modeling, conversational analytics (for example, Databricks Genie), and experience guiding or upskilling distributed/offshore development teams
• Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

Benefits

• KPMG offers a comprehensive, competitive benefits package with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility.
• Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support mental health.
• Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year.
• Each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday.

Pay

• California Salary Range: $127,200 - $246,900
• KPMG offers a comprehensive compensation and benefits package.
• Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations.

We need to ensure numbers formatted with commas? Original: $127200 - $246900. We can keep as is or add commas for readability; but must preserve ALL substantive information; adding commas is not changing substantive info, it's just formatting. Probably okay to keep as original without commas. But we can add commas for readability; it's not altering meaning. Safer to keep exactly as