Microsoft’s Global Demand Center (GDC) team within the Cloud Marketing Group is leading the marketing transformation of Microsoft’s largest and fastest growing commercial businesses. Our always-on acquisition and nurture Global Engagement Programs (GEPs) are campaigns that engage business and technical audiences in organizations of all sizes across the customer life cycle.

The GDC Analytics Data Services Group is on a mission is to deliver a connected analytics data ecosystem, leveraging world-class Microsoft technology to enable scale, increase data agility, and unlock breakthrough insights. We build the platform that powers our analysts, data scientists, ML engineers and business users to discover insights and make decisions faster.  

As the Data Platform Program Manager on the engineering team, you will be accountable for delivering the Modern Marketing Analytics Platform on Azure aligned to the Platform Vision and Strategy.

Responsibilities

Responsibilities:

• Own the Marketing Analytics Platform development strategy, capability roadmap and priorities aligned to the marketing analytics platform vision.
• Work across MAP architects, engineering, partner engineering teams and Azure data product teams to influence and align on platform strategy.
• Curate a healthy backlog of capabilities and features for the platform development to support data product onboarding, user access layer and agile development.
• Partner with Data product PMs on the team to deliver of data product onboarding to the Marketing Analytics Platform.
• Track engineering team velocity and feedback loops, optimizing delivery to ensure the most valuable work is always delivered first. 
• Partner with Data Ops to ensure the products onboarded to platform are supportable at scale with minimal manual touch on quality, availability, compliance and security.
• Understand what is possible today vs. what requires additional investment and be able to make data-based case for additional investments and trade off decisions.

Qualifications

Qualifications:

• Strong technical background with an ability to rapidly learn new technologies.
• Proficient using SQL, Azure Data stack (synapse, ADB, ADF) and data visualization tools.
• Experience working closely with engineering, managing backlogs and trade-offs, outlining technical details, and defining “done”. 
• Experience with iterative development and the full software cycle of requirements, design, coding/testing, rollout/deploy standard methodologies in delivering outstanding software and services. 
• Comfortable making hard decisions using a blend of quantitative and qualitative inputs.
• Exceptional written, spoken communication and presentation skills.
• Proven track record of growing partnerships by forging a strong relationship with internal/external stakeholders, understanding their objectives, and recommending best strategies. 
• Experience as a product and technical leader in big data infrastructure, analytics, or applied science tooling and manager for 2+ years. 
• Conversant in modern data engineering, data modeling, mining, analytics and machine-learning techniques and tooling.
• Ability to thrive in a fast-paced sometimes ambiguous environment, having fun doing it! 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.