Data Portfolio Technical Area Lead - Senior Director[Urgent]

Boston Consulting Group
London
3 months ago
Applications closed

Related Jobs

View all jobs

Alpha Enviroment and Data Strategy Manager, Vice President

Finance Systems Manager

Finance Systems Manager

Graduate Data Analyst

Graduate Data Analyst

Portfolio Delivery Test Lead

Who We Are Boston Consulting Group partners withleaders in business and society to tackle their most importantchallenges and capture their greatest opportunities. BCG was thepioneer in business strategy when it was founded in 1963. Today, wehelp clients with total transformation-inspiring complex change,enabling organizations to grow, building competitive advantage, anddriving bottom-line impact. To succeed, organizations must blenddigital and human capabilities. Our diverse, global teams bringdeep industry and functional expertise and a range of perspectivesto spark change. BCG delivers solutions through leading-edgemanagement consulting along with technology and design, corporateand digital ventures—and business purpose. We work in a uniquelycollaborative model across the firm and throughout all levels ofthe client organization, generating results that allow our clientsto thrive. What You'll Do Join a dynamic team transforming BCG intoa data-driven organization! The Data Team is where we buildessential data platforms, products and capabilities to empower ourclients and colleagues with high-quality, actionable insights. OurData Portfolio Team focuses on creating scalable data solutions andadvancing BCG’s data infrastructure to drive informeddecision-making across the company.   We’re looking for aTechnical Area Lead (TAL) for the Data Portfolio to set andimplement the strategic vision for BCG’s data ecosystem, includingdata engineering & governance. This role requires translatingbusiness needs into robust data solutions and owning the datastrategy, architecture, and engineering excellence within the dataportfolio. This includes accountability for reliable datainfrastructure, data governance, and driving data enablement with acommitment to Security, Compliance, Operational Excellence, andCustomer Satisfaction.   As a Data Portfolio TAL, you willdrive innovation, collaborate with cross-functional teams, andshape data product roadmaps, keeping BCG at the forefront of dataengineering best practices and technology.  Among yourresponsibilities, you will: Lead the Data TechnologyStrategy for BCG’s Data Portfolio* Define and drive an integrateddata strategy aligned with BCG’s goals, including cloud-based datawarehousing, real-time data processing, and data governanceinitiatives. * Champion the adoption of emergent data technologiesand methodologies, such as AI-driven data processing, machinelearning pipelines, and automated data integration. * Collaboratewith executive leadership to shape BCG’s data infrastructureroadmap, ensuring alignment with business goals and competitiveadvantage. * Assess and respond to evolving data trends, developinga proactive data strategy that facilitates growth and scalability.* Implement governance frameworks for data management, ensuringadherence to industry best practices and regulatory requirements. Deliver business results and customer insight* Partnerwith data science, analytics, and engineering teams to define datarequirements, performance OKRs, user stories, and data qualitystandards. * Lead the technical execution of data-centricinitiatives, improving data accessibility, reliability, and agilityfor BCG users. * Work closely with data engineering teams to ensurehigh-quality, timely delivery of data features and improvements,addressing blockers or challenges. * Foster integration acrossBCG’s data assets to streamline data availability, minimizeredundancies, and deliver cohesive data solutions across theorganization. * Oversee the data portfolio budget, driving costoptimization and strategic investment allocation for data platformsand tools.  Empower and enable Squads to realize theirmissions* Lead and mentor a team of data engineers, architects,and analysts, providing ongoing feedback, support, and developmentopportunities. * Promote a culture of collaboration, continuouslearning, and innovation within the team.  Drive End-UserEngagement and Relationship Management* Actively engage withinternal users to understand their data needs, gather feedback, andvalidate data solutions. * Build strong relationships with businessstakeholders, serving as their advocate within WWIT. * Communicatedata updates and roadmap developments to stakeholders, maintainingtransparency on upcoming changes.  Optimize the DataLifecycle* Lead a comprehensive observability strategy,implementing data monitoring and management tools to ensure dataquality and availability. * Analyze data performance metrics,incorporating user feedback and industry trends to optimize andinnovate data services. * Drive projects focused on enhancing datausability, resilience, and security, leveraging automation and AIwhere beneficial. * Collaborate with Information Security to ensurea robust security posture and compliance with data regulations. YOU’RE GOOD AT* Advanced Technical Proficiency: Expertisein data architecture, data warehousing, and cloud-based dataplatforms, with experience in technologies like Azure Synapse,BigQuery, or Snowflake. * Client-Centric Mindset: Proven ability todeliver reliable, scalable data solutions, with a track record ofimproving data access, insights, and performance.Cross-Functional Collaboration: Demonstrated success in drivingdata initiatives and working with teams across data science,engineering, and business functions. * Analytical Thinking: Stronganalytical skills, experienced in using monitoring tools for dataperformance tracking and cost-benefit analyses. * Data-DrivenLeadership: Expertise in data strategy and migrations, includingexperience with ETL processes, real-time data streaming, and datalake implementations. * Effective Communication: Skilled atconveying complex data concepts to varied audiences and aligningstakeholders around a data vision. What You'll Bring *15+ yearsof technical experience in IT and Data services, with at least5years in strategic leadershipoverseeing data engineering or dataarchitecture. * Proven experience in designing, deploying, andoptimizing large-scale data solutions, including data lakes, clouddata warehouses, and ETL frameworks. * In-depth understanding ofdata governance, regulatory compliance, and security in datamanagement. * Expertise with modern data engineering technologies,including Spark, Kafka, and data orchestration tools like Airflow.Strong background in managing and developing diverse data teams,with a commitment to fostering innovation and responsiveness toindustry changes. Boston Consulting Group is an Equal OpportunityEmployer. All qualified applicants will receive consideration foremployment without regard to race, color, age, religion, sex,sexual orientation, gender identity / expression, national origin,disability, protected veteran status, or any other characteristicprotected under national, provincial, or local law, whereapplicable, and those with criminal histories will be considered ina manner consistent with applicable state and local laws. BCG is anE - Verify Employer. (Click here)(https://careers.bcg.com/global/en/e-verify) for more informationon E-Verify.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.

Negotiating Your Data Science Job Offer: Equity, Bonuses & Perks Explained

Data science has rapidly evolved from a niche specialty to a cornerstone of strategic decision-making in virtually every industry—from finance and healthcare to retail, entertainment, and AI research. As a mid‑senior data scientist, you’re not just running predictive models or generating dashboards; you’re shaping business strategy, product innovation, and customer experiences. This level of influence is why employers are increasingly offering compensation packages that go beyond a baseline salary. Yet, many professionals still tend to focus almost exclusively on base pay when negotiating a new role. This can be a costly oversight. Companies vying for data science talent—especially in the UK, where demand often outstrips supply—routinely offer equity, bonuses, flexible work options, and professional development funds in addition to salary. Recognising these opportunities and effectively negotiating them can have a substantial impact on your total earnings and long-term career satisfaction. This guide explores every facet of negotiating a data science job offer—from understanding equity structures and bonus schemes to weighing crucial perks like remote work and ongoing skill development. By the end, you’ll be well-equipped to secure a holistic package aligned with your market value, your life goals, and the tremendous impact you bring to any organisation.