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Senior Director, GTM Strategy & Acceleration

DLR LLC

NEW YORK, NYJobSeen 1w agoSeen in employer's feed 1 day ago

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At a glance

Compensation
No compensation found
Location
NEW YORK, NY
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

Digital Realty seeks a Senior Director of Go-To-Market Strategy & Acceleration to drive enterprise growth strategy and transformation across its global platform. The role combines market intelligence, advanced analytics, and executive decision support, partnering with leaders across Sales, Marketing, Product, Finance, and Technology. It leads strategic analysis and cross-functional initiatives, and mentors team members in structured problem solving, analytics, and strategic thinking.

Skills & qualifications

RequiredNice to have

Skills

PythonSQLStatistical AnalysisForecastingApplied Machine LearningLarge-Scale Data AnalysisQuantitative AnalysisMarket AnalysisCompetitive StrategyGrowth PlanningBusiness Case DevelopmentFinancial ModelingInvestment Thesis DevelopmentStrategic NarrativesExecutive InfluenceCross-Functional LeadershipStructured Problem SolvingCommunicationStorytellingStakeholder Management

Qualifications

10+ Years ExperienceGlobal Organization ExperienceTechnology or Data-Driven Industry Experience

Full job description

Position Title: Senior Director, GTM Effectiveness Location: New York, NY Your role Digital Realty is seeking a Senior Director, Go-To-Market Strategy & Acceleration to drive enterprise-level growth strategy and transformation across our global platform. This role sits at the intersection of growth strategy, market intelligence, and advanced analytics, translating external market signals and internal data into actionable growth strategies. The Senior Director will apply outside-in, hypothesis-driven problem solving and leverage quantitative analysis, AI, and large-scale datasets to inform executive decision-making. You will partner closely with senior leaders across Sales, Marketing, Product, Finance, and Technology to shape strategic priorities and guide execution across a global platform serving hyperscale, enterprise, and network customers. What you'll do Lead the development of enterprise growth strategies, including customer segmentation, vertical prioritization, and sales coverage models Conduct outside-in market analysis, including industry trends, competitive dynamics, and customer demand signals, to inform strategic direction Structure and test hypothesis-driven strategic questions and translate findings into clear, actionable recommendations for executive leadership Support long-range planning, investment prioritization, and strategic initiative development Develop data-backed perspectives on where to play and how to win across global markets Apply advanced quantitative analysis, statistical modeling, and AI/ML techniques to evaluate market opportunities and business performance Build analytical models to assess growth scenarios, pricing strategies, customer lifetime value, and market sizing Leverage large-scale internal and external datasets to generate insights on customer behavior, demand trends, and competitive positioning Develop repeatable analytical frameworks to support ongoing strategic decision-making Use Python and SQL to manipulate data, automate analyses, and enhance analytical rigor Partner with executive leadership to frame and evaluate complex, high-impact strategic decisions Translate analytical outputs into clear narratives and executive-ready insights Build business cases and financial models to support strategic investments Provide ongoing insight into performance trends, emerging risks, and growth opportunities Lead cross-functional initiatives spanning Strategy, Sales, Marketing, Finance, Product, and Technology Act as a connector between business strategy and data/analytics capabilities Influence stakeholders across a global, matrixed organization Mentor team members on structured problem solving, analytics, and strategic thinking What you'll need Experience 10+ years of experience in corporate strategy, management consulting, or growth strategy within a global organization Demonstrated success solving complex, ambiguous business problems using structured, hypothesis-driven approaches Experience in technology, digital infrastructure, or other data-driven industries preferred Technical & Quantitative Skills Strong proficiency in Python and SQL for data analysis and modeling Experience with statistical analysis, forecasting, and applied machine learning techniques Ability to work with large, complex datasets to extract strategic insights Strong quantitative foundation with the ability to link analysis to business impact Strategic & Business Capabilities Expertise in market analysis, competitive strategy, and growth planning Experience developing business cases, financial models, and investment theses Ability to synthesize diverse data sources into clear, compelling strategic narratives Executive presence with the ability to influence and advise senior leadership Leadership & Communication Experience leading cross-functional initiatives and influencing without direct authority Ability to operate effectively in fast-paced, ambiguous environments Strong communication, storytelling, nd stakeholder m

How this job compares

Set against the 347 open Corporate Strategy jobs on Olive Jobs, counted November 5, 2026.

Pay
  • This postingNot listed
  • New York median$149–210K/yr34 salary ranges
Openings
Olive Jobs lists 42 open Corporate Strategy jobs in New York and 347 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
This posting asks for at least 10 years of experience — more than three in four Corporate Strategy postings that state a minimum ask for (median 5 years, across 329 postings).
Education
117 of the 347 open Corporate Strategy jobs (34%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 5, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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