SoftServe
Data Enterprise Solutions Consultant

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About the Role
As an Enterprise Solutions Consultant focused on Data & AI, you will serve as a trusted advisor to global organizations seeking to unlock the value of their data through analytics, artificial intelligence, and intelligent automation. Working within SoftServe's Data & AI practice, you will engage with Fortune 500 clients across the full relationship lifecycle — from pre-sales and discovery through delivery and long-term account stewardship — helping them turn complex data challenges into competitive advantage.
You will bring deep expertise in data and AI strategy, combined with a multidisciplinary consulting approach, to design solutions that are technically rigorous, commercially grounded, and aligned to real business outcomes.
Responsibilities
Client Engagement & Business Development
- Partner with multidisciplinary sales teams as a Data & AI subject matter expert, contributing to opportunity qualification, solution positioning, and executive-level presentations
- Lead discovery workshops and stakeholder engagements to understand clients' data maturity, analytical ambitions, business strategy, and technology landscape
- Define and document business cases, solution visions, and transformation roadmaps — translating data and AI opportunities into language that resonates at C-suite and board level
- Identify and propose data and AI solutions that clients haven't yet envisioned, demonstrating SoftServe's unique differentiation
- Build trusted advisor relationships with client leadership and foster long-term strategic partnerships
Solution Leadership & Delivery
- Provide an authoritative consulting presence throughout all engagement stages, synthesizing complex AI and analytics concepts into clear, compelling business value narratives
- Facilitate workshops and assessments to define requirements, evaluate data readiness, and scope analytics and AI initiatives accurately
- Ensure that project backlogs and deliverables remain aligned to the agreed solution vision, acting as the client's advocate within SoftServe
- Collaborate with data architects, data scientists, engineers, and delivery teams to design practical, scalable, value-driven data and AI solutions
- Analyze client data structures, pipelines, and governance practices to identify risks, gaps, and opportunities for improvement
- Gather and assess feedback on delivered solutions, propose enhancements, and identify opportunities for follow-on services
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
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Innovation & Thought Leadership
- Stay ahead of emerging trends in AI, generative AI, machine learning, advanced analytics, data platforms, and automation — and quickly recognize their business applications
- Contribute to the development of SoftServe's Data & AI service offerings, accelerators, and reusable assets
- Prepare and deliver thought leadership content, presentations, and case studies for industry audiences, analysts, and partners
- Support SoftServe's brand through contributions to social media, industry forums, and internal knowledge-sharing platforms
Requirements
Experience
- 6+ years of relevant experience in Data & Analytics Consulting, AI/ML strategy, or enterprise data transformation
- Proven track record in enterprise B2B environments, including pre-sales or advisory roles supporting complex, ambiguous engagements
- Experience leading or contributing to cross-functional, distributed teams across geographies and business units
- Hands-on involvement in analytics transformation, data strategy, or AI/ML implementation programs
Domain Knowledge
- Strong understanding of the end-to-end data value chain: from data architecture and engineering to analytics, AI/ML, and insight activation
- Familiarity with modern data and AI platforms such as Databricks, Snowflake, Azure, AWS, GCP, Power BI, Tableau, or similar
- Knowledge of AI/ML concepts, generative AI, predictive analytics, and how they translate into business use cases
- Understanding of data governance, data quality, and responsible AI principles
Skills
- Exceptional consultative and client-facing presence — comfortable engaging at all organizational levels including the C-suite
- Excellent written and verbal communication skills; able to translate complex data and AI concepts for both technical and non-technical audiences
- Strong analytical and structured problem-solving skills with a hypothesis-driven consulting mindset
- Skilled in facilitating workshops, managing ambiguity, and aligning diverse stakeholders around a shared vision
- Ability to work independently and lead matrix teams across geographic and cultural boundaries
- Upper-Intermediate or higher English proficiency (B2+)
Certifications (preferred)
- Relevant data or analytics certifications: AWS/Azure/GCP data or AI certifications, Databricks, Google Professional Data Engineer, or equivalent
- Enterprise architecture certifications (TOGAF, Zachman) are a plus
- Industry certifications in Business Analysis, Product Management, or Project Management (CBAP, PMI, Pragmatic, COBIT)
- Agile methodology experience; certification desirable


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Education
- Undergraduate degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical discipline; MBA or Master's in a relevant field is highly preferred
Travel
- Up to 50% travel to client and partner sites; some international travel may be required.
About Us
SoftServe is a global IT consulting and digital services company where technology expertise grows alongside people. For more than 30 years, we have helped organizations navigate complex business challenges by combining deep engineering knowledge with thoughtful, research-backed innovation.
Our teams work in digital engineering, data and analytics, cloud, and AI/ML, building practical, scalable solutions grounded in real business needs and human impact. We support clients across high tech, financial services, healthcare, life sciences, retail, energy, and manufacturing, with a pace that respects quality, sustainability, and the people behind the work.
We stand out in the way we work together. You bring your perspective and ambition - we create the environment to shape solutions with clarity, confidence, and purpose.
What We Offer
Flexible Work Model
- Work from home, from the office, or in a hybrid format that supports focus and collaboration.
Compensation & Benefits
- Competitive, market-based pay, benchmarked by role and location — plus health coverage, paid time off, wellness support, and learning opportunities.
People-first Leadership
- Approachable leaders who communicate openly, keep teams close to the strategy, and support long-term planning.
Advanced Tech Communities
- Stay close to AI/ML, Cloud, Quantum Computing, IoT, and Robotics communities, with projects built on modern frameworks.
SoftServe is an equal opportunity employer. Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.
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