Sr. Manager Data Management

We need to output HTML fragment with sections: headings

for sections like About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. Only include sections with real specific content. We need to parse the posting. First, the posting starts with "Your opportunity At Schwab, you’re empowered..." That's like an intro paragraph. Likely "About the role" or "Overview". We'll treat as "About the role". Use

About the role

then

with that paragraph. Then there is description of Schwab Data etc. Might be part of "About the role" as well. Then "What you have Required Qualifications" etc. That's a list of required qualifications. So we can have

Requirements

or

Qualifications

. The spec says we can use Requirements, Qualifications, Skills. We need to decide. The posting includes "Required Qualifications" and "Preferred Qualifications". So we can have a Requirements section for required qualifications, and maybe a Preferred Qualifications subsection? But spec says only include sections when posting has real specific content. We could combine required and preferred under Qualifications? But we need to preserve all info. Could have

Required Qualifications

but spec says headings should be from list: About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule. It didn't say we cannot use other headings, but says use

for section headings (e.g. About the role, Responsibilities, Requirements, Qualifications, Skills, Benefits, Pay, Schedule). Likely they expect those headings only. So we need to map content to those headings. Thus: - About the role: intro paragraph(s) describing opportunity, Schwab, Data, team purpose, role responsibilities. - Responsibilities: maybe the bullet list of what you will do: "In this role, you will help shape..." etc. That's responsibilities. - Requirements: required qualifications list. - Qualifications: maybe preferred qualifications? Or we could put preferred under Qualifications. - Skills: maybe list of skills like communication, analytical, etc. But those are already in requirements. Could combine. - Benefits: the "What’s in it for you" section includes benefits: hybrid work, 401(k), stock purchase, PTO, sabbatical, parental leave, tuition reimbursement, health/dental/vision. - Pay: there is a line: "In addition to the salary range, this role is also eligible for bonus or incentive opportunities." That's pay info (bonus eligibility). No explicit salary range given, but we have mention of bonus eligibility. According to spec: never create Pay/Schedule/Benefits sections unless posting actually states them. It does mention bonus eligibility, so we can include Pay section with that sentence. - Schedule: not mentioned besides hybrid work? There's mention of Hybrid Work and Flexibility approach. That's more about work arrangement, not schedule. Could be considered Schedule? Might be better to put under Benefits? Actually hybrid work is a work arrangement, could be considered Benefits or maybe Schedule. The spec says Schedule section only if posting actually states them. It does mention Hybrid Work and Flexibility approach, which is about schedule flexibility. So we could include Schedule section with that description. But we need to avoid filler like "commensurate with experience". Not present. We must not repeat job title as heading. Not include Job ID etc. We must remove boilerplate like cookie/navigation/legal/EEO etc. Not present. We must preserve ALL substantive information; do not invent or summarize away detail. Thus we need to extract exact sentences/phrases. Let's copy the posting text and parse. Full posting: "Your opportunity At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s). Schwab Technology Services enables the future of how clients manage their money by providing innovative and reliable technology products and services as part of our ongoing commitment to democratize access to investing and financial planning. Schwab Data is critical to the future of Schwab, as we seek to embrace and support new ways of using data (GenAI), embed additional insights and data-driven processes in our business, and respond to evolving needs and expectations in data governance. The Schwab Data organization collectively focuses on data strategy, data analytics, data science, data governance, and data engineering, while simultaneously enhancing data impact and data safety for our business and our clients. We will advance our impact in line with evolving data/analytics/AI technology and reinforce our ability to safely, responsibly, intentionally, and broadly utilize data, analytics, and AI. Within Schwab Data, the Data Risk Enhancement team’s purpose is to strengthen the firm’s ability to proactively identify, prioritize, and mitigate data risk. The team focuses on making data risk visible and actionable by leveraging data lineage and related insights to illuminate how data flows across the firm, where risk concentrates, and where intervention will have the greatest impact. Acting as a first line of defense, the team partners closely with data, analytics, and AI professionals to ensure data risks are understood in context and addressed in a way that supports both safety and business outcomes. In this role, you will help shape and operationalize how Schwab uses data lineage to drive risk based decision making. You will work across business and technology teams to identify critical data flows, assess risk exposure across end to end lineages, and translate those insights into clear prioritization signals and actionable roadmaps. You will define and apply risk criteria, surface tradeoffs, and mobilize teams to address the most material risks first. You will also partner with stakeholders to operationalize metrics, track progress through targeted reporting, and escalate emerging risks to senior management—ensuring data lineage is not just documented, but actively used to improve the firm’s data risk posture. What you have Required Qualifications Experience identifying, analyzing, and mitigating data risk, particularly related to data integrity, quality, security, and privacy, with a pragmatic approach to balancing risk and business outcomes. Demonstrated ability to gather, analyze, and interpret data lineage and data flows across complex systems to understand how data is created, transformed, and consumed, and to identify where data risk concentrates across end to end processes. Strong analytical and critical thinking skills, with experience translating lineage and risk signals into clear prioritization insights that guide where remediation efforts should be focused. Ability to work through ambiguity to drive toward actionable outcomes, including mobilizing cross functional teams to address data risks across business and technology domains. Strong communication skills, with the ability to explain complex data lineage and data risk concepts to both technical and non technical stakeholders and influence decisions through clear, concise messaging. Experience operationalizing data risk metrics and indicators, monitoring trends, identifying root cause, and escalating emerging risks in a structured and timely manner. Proficiency with data governance, risk management, and metadata related tools and methodologies; familiarity with SQL, data structures, and data management policies. Strong attention to detail, sound judgment, and the ability to prioritize effectively in a fast paced, highly matrixed environment. Bachelor’s degree or 5+ years in data related fields. 5+ year hands on experience in on data strategy, data analytics, data science, data governance, and / or data engineering 5+ year hands on experience delivery of reporting solutions that quantify risk Proven track record leading and developing business change initiatives Preferred Qualifications Experience with and understanding of project management, agile planning and change management process in Schwab along with related tools like Jira. Ability to navigate and be successful in a highly matrixed organization Focused and versatile team player that is comfortable under pressure and with evolving objectives Excellent problem-solving and critical-thinking skills "In addition to the salary range, this role is also eligible for bonus or incentive opportunities." What’s in it for you At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis. We offer a competitive benefits package that takes care of the whole you – both today and in the future: 401(k) with company match and Employee stock purchase planPaid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positionsPaid parental leave and family building benefitsTuition reimbursementHealth, dental, and vision insurance" We need to split into sections. Let's extract About the role: first paragraph up to before "What you have". Actually the intro includes many sentences about Schwab, Data, team purpose, role responsibilities. The responsibilities are also described after "In this role, you will help shape..." That's part of responsibilities. But we could put that under Responsibilities. Thus About the role could be the initial description: "Your opportunity At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s). Schwab Technology Services enables the future of how clients manage their money by providing innovative and reliable technology products and services as part of our ongoing commitment to democratize access to investing and financial planning. Schwab Data is critical to the future of Schwab, as we seek to embrace and support new ways of using data (GenAI), embed additional insights and data-driven processes in our business, and respond to evolving needs and expectations in data governance. The Schwab Data organization collectively focuses on data strategy, data analytics, data science, data governance, and data engineering, while simultaneously enhancing data impact and data safety for our business and our clients. We will advance our impact in line with evolving data/analytics/AI technology and reinforce our ability to safely, responsibly, intentionally, and broadly utilize data, analytics, and AI. Within Schwab Data, the Data Risk Enhancement team’s purpose is to strengthen the firm’s ability to proactively identify, prioritize, and mitigate data risk. The team focuses on making data risk visible and actionable by leveraging data lineage and related insights to illuminate how data flows across the firm, where risk concentrates, and where intervention will have the greatest impact. Acting as a first line of defense, the team partners closely with data, analytics, and AI professionals to ensure data risks are understood in context and addressed in a way that supports both safety and business outcomes." That seems like About the role / overview. Then Responsibilities: the sentences starting with "In this role, you will help shape and operationalize how Schwab uses data lineage to drive risk based decision making. You will work across business and technology teams to identify critical data flows, assess risk exposure across end to end lineages, and translate those insights into clear prioritization signals and actionable roadmaps. You will define and apply risk criteria, surface tradeoffs, and mobilize teams to address the most material risks first. You will also partner with stakeholders to operationalize metrics, track progress through targeted reporting, and escalate emerging risks to senior management—ensuring data lineage is not just documented, but actively used to improve the firm’s data risk posture." That's responsibilities. Then Required Qualifications: list after "What you have Required Qualifications". Actually the phrase "What you have Required Qualifications" seems like a heading. Then list of items separated by periods. We need to preserve each as list items. Let's extract each required qualification sentence: - Experience identifying, analyzing, and mitigating data risk, particularly related to data integrity, quality, security, and privacy, with a pragmatic approach to balancing risk and business outcomes. - Demonstrated ability to gather, analyze, and interpret data lineage and data flows across complex systems to understand how data is created, transformed, and consumed, and to identify where data risk concentrates across end to end processes. - Strong analytical and critical thinking skills, with experience translating lineage and risk signals into clear prioritization insights that