Content Strategist
AI in this role
What’s the role?
We are looking for a dynamic, analytical and commercially-minded Content Strategist to help prepare social media and news content for an agentic AI future.
In this role, you will work within the Content & Audience Strategy team to shape how news, analysis and expert content should evolve as client workflows become increasingly AI-mediated.
You will help translate customer needs, market trends, product priorities, audience data and editorial expertise into clear content strategies that guide product, use case, sourcing, metadata and measurement decisions.
This is an individual contributor role reporting into the Head of Content Strategy. The team is responsible for shaping Bloomberg’s content strategy across regions and subject areas, ensuring content on the Terminal remains relevant, trusted and impactful for clients. The broader team works closely with newsroom, product, technology, data, research, sales and marketing partners to align content strategy with client needs and Bloomberg’s business priorities.
Your initial focus will include developing a new approach to sourcing and structuring influential expert voices in the market, as well as developing sustainable commercial models for this content. As market commentary becomes more distributed across newsletters, independent analysts, expert communities, social media and other external platforms, Bloomberg has an opportunity to identify, evaluate and integrate high-signal perspectives into Terminal workflows.
This role is about helping Bloomberg’s content become more useful to human readers and more legible to AI systems. That means thinking carefully about client workflows and needs, structure, metadata, event identity, source authority, signal quality, client intent and how content is retrieved, cited and recomposed in AI-powered workflows.
We’ll trust you to:
- Develop clear, evidence-based content strategies for priority areas of Bloomberg’s offering
- Help prepare Bloomberg’s content for agentic AI workflows, where systems proactively surface, contextualize and help clients act on information
- Translate broad strategic questions into practical recommendations for content, product, personaS, sourcing, metadata and measurement
- Clarify what content needs to exist, how it should be structured, and what metadata or classification is required for AI systems to retrieve and interpret it accurately
- Develop frameworks for identifying, evaluating and sourcing influential expert voices, including independent analysts, specialist commentators and other market-relevant perspectives
- Help define source selection criteria, credibility signals and governance models for externally sourced expert content
- Use audience insights, usage data, client feedback, competitive analysis and editorial judgment to identify content gaps and opportunities
- Create concise strategy documents, recommendations, frameworks and briefing materials for senior stakeholders
- Partner with newsroom, product, data, engineering, sales and other teams to turn strategy into practical next steps
- Help define what success looks like for content strategies, including client outcomes, usage signals, AI retrieval quality and business impact
- Maintain alignment across teams by turning complex, cross-functional issues into shared language and clear decision points
- Experience in content strategy, news strategy, editorial strategy, product strategy, audience strategy or a related field
- 5+ years of experience in news, financial information, social media, product, research, strategy or another fast-moving content environment
- Strong understanding of how professional audiences use news, commentary, analysis and market information to make decisions
- Strong interest in how AI is changing the way clients discover, consume and act on news and information
- Ability to turn complex content and product questions into clear strategic frameworks
- Strong written communication skills, with the ability to produce crisp, structured documents for senior stakeholders
- Strong analytical judgment, including comfort working with both quantitative data and qualitative evidence
- Ability to work across editorial, product, data, technology and commercial teams
- Comfort operating in ambiguous areas where the answer is not yet obvious and the work requires discovery, synthesis and judgment
- Strong organizational skills and ability to move several strategic workstreams forward at once
- Familiarity with financial markets, business news or professional information products
- Experience developing strategy for content products, news workflows, content classification, metadata, discovery or user engagement
- Understanding of real-time news workflows, including alerting, monitoring, breaking news, escalation and follow-up
- Familiarity with AI-mediated search, retrieval, summarization or answer experiences
- Experience thinking about how unstructured content can be made more structured, discoverable and reusable
- Understanding of how client segments differ in their news needs, from real-time decision makers to deep research users
- Experience using audience data, product analytics or client research to shape recommendations
- Ability to balance editorial judgment, client utility, product feasibility and commercial impact
- A collaborative mindset and ability to influence without direct authority
- Comfort working in a high-paced, demanding and evolving environment
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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How we rate this
Content Strategist at Bloomberg rates 22 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Classification
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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