Are you passionate about data and marketing? Do you want to be part of a team that is transforming the way Microsoft engages with its customers and prospects? Do you have the skills and experience to design and deliver data capabilities that enable data-driven marketing and sales across products and channels? If so, we have an exciting opportunity for you!
The Global Marketing Engines and Experiences (GMEE) Data Engineering team is on a mission to deliver connected data ecosystem, leveraging world-class Microsoft technology to enable scale, increase data agility, and unlock breakthrough insights. We build data platforms that power our analysts, data scientists, ML engineers and business users to discover insights and make decisions faster. We also enable the integration of our data platform with edge tools for sales and marketing teams that deliver personalized and relevant experiences to our customers and prospects.
The Data Engineering team is looking for a Senior Technical Program Manager to join the team to guide the development and evolution of a coherent, organization-wide portfolio of data capabilities for Relationship Marketing initiatives, enabling responsive, high-quality data for the business.
Responsibilities
- Contribute to the end-to-end data architecture and data modeling for the GMEE Data Platform to create leverage through connected data capabilities
- Own the data capability roadmap for Relationship Marketing initiatives, engaging stakeholders across the organization and prioritizing areas of investment
- Define technical data requirements based on business specifications and run initial data discovery, analysis and conceptual modelling
- Coordinate with cross-domain data owners to integrate, leverage and enable access to data and ensure data handling and security requirements are understood and met
- Collaborate with Data Engineers, System Architects, Platform Engineers and Program Managers to implement successful solutions.
- Create data quality and monitoring models for key end to end data flows to ensure data reliability and issue visibility and responsiveness.
- Influence and negotiate with partner stakeholders for cross-team dependencies impacting roadmaps
Qualifications
Required/minimum qualifications
- Bachelor's Degree AND 4+ years experience in big data technologies and principles including data architecture, modeling, design, data acquisition, and data delivery methodologies OR equivalent experience.
- 2+ years of experience managing cross-functional and/or cross-team projects.
Additional or preferred qualifications
- Bachelor's Degree AND 8+ years’ experience big data technologies and principles including data architecture, modeling, design, data acquisition, and data delivery methodologies.
- 6+ years of experience managing cross-functional and/or cross-team projects.
- 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos).
- Experience in big data architectures and principles including distributed data mesh concepts, modeling/schema design, data lakes, metadata, lineage, acquisition, and broad consumption patterns.
- Practical experience in data analysis and manipulation tools like SQL / Python
- Demonstrated ability to facilitate communication between technical and business stakeholders to ensure functional requirements and technical implementation considerations are understood and accepted.
- Proven track record of growing partnerships by forging a strong relationship with internal/external clients, understanding their objectives, and recommending best strategies.
- Comfortable making hard decisions using a blend of quantitative and qualitative inputs and thinking strategically with methodical execution.
- 1+ year(s) of experience reading and/or writing code (e.g., sample documentation, product demos).
Technical Program Management IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Skills Required
- Bachelor's degree and 4+ years of experience with big data technologies and principles, including data architecture, modeling, design, data acquisition, and data delivery methodologies, or equivalent experience
- 2+ years of experience managing cross-functional or cross-team projects
- Bachelor's degree and 8+ years of experience with big data technologies and principles, including data architecture, modeling, design, data acquisition, and data delivery methodologies
- 6+ years of experience managing cross-functional or cross-team projects
- 1+ year of experience reading or writing code, such as sample documentation or product demos
- Experience with big data architectures and principles, including distributed data mesh concepts, modeling/schema design, data lakes, metadata, lineage, acquisition, and broad consumption patterns
- Practical experience with data analysis and manipulation tools such as SQL and Python
- Ability to facilitate communication between technical and business stakeholders to align functional requirements and technical implementation considerations
- Proven ability to build partnerships with internal or external clients, understand objectives, and recommend strategies
- Ability to make decisions using quantitative and qualitative inputs with strategic and methodical execution
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Fair & Transparent Compensation — Pay is presented as broadly competitive overall, with clear role/level/location variation and an emphasis on using posted ranges and band information for apples-to-apples comparisons.
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Retirement Support — Retirement benefits are described as a standout, highlighted by a strong 401(k) match structure and immediate vesting, plus additional plan features for tax-advantaged saving.
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Parental & Family Support — Family-oriented benefits are portrayed as a meaningful strength, with substantial paid parental leave and added supports like back-up care and adoption/surrogacy assistance.
Microsoft Insights
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